Program description

Content

Among the industries with the greatest growth rates is the communications industry which, over the years, has achieved in its products the synergy of the classical disciplines of computer science and networking. The International Master Program Information and Communication Systems addresses this rapidly evolving area by laying in-depth foundations for the design and implementation of networking infrastructures, networked Cyber Physical Systems and the applications and services running on them.

The program is organized as a two-year course (four semesters) which starts on 1st of October each year. It includes around two semesters of lectures and practical courses and almost two semesters devoted to work in a research team (project work) and to the preparation of a master’s thesis. The “Master of Science” degree will be awarded. Language of the program is English.

Graduates of the program are provided with the basics and knowledge that are required for a successful engineering activity in the information and communication technology in an international environment. They acquire extensive knowledge in the mathematical, engineering and scientific basic principles of this discipline based on a solid theoretical foundation including all the essential application-oriented aspects. Graduates are qualified to independently resolve problems in the information and communications technology and related disciplines.

The graduates are able to apply methods and procedures required to work on technical issues, as well as critically examine new insights to further develop and incorporate in their work. In this way, they are qualified to carry out their duties for society responsibly.


Career prospects

The study of Information and Communication Systems provides the in-depth training in the areas of Information and Communication Technology, Software Systems, IT Security and Signal Processing. This enables excellent career prospects both in the industrial as well as on the academic job market. The Master's degree qualifies graduates for doctoral studies.

Learning target

Knowledge

The students gain common knowledge from the core qualification and more specific knowledge depending on the selected specialisation. All students are able to describe information theory and coding basics.

Specialisation Communication Systems:

Students can

  • show  their profound knowledge in digital communications,
  • describe their specialized knowledge in communication networks,
  • explain software development principles,
  • explain signal processing fundamentals.

Specialisation Secure and Dependable IT Systems:

Students can

  • give an overview of software verification,
  • describe security principles for information and communication systems,
  • explain their specialized knowledge in communication networks,
  • describe software development and signal processing principles.

Skills

The ability to apply knowledge in order to perform tasks and solve problems will be supported in this course. Information and Communication Systems graduates are capable to

  • solve problems in information and communication systems by applying and adapting techniques, procedures and methods that are required for a successful professional activity and by using engineering systematics,
  • organize the planning of theoretical and experimental studies in order to develop optimal solutions for complex applications in information and communication technology and evaluate the solutions analyse problems using scientific systematics and solve them most effectively to develop economically viable approaches for products and systematically reflect non-technical implications of engineering activity to responsibly involve them in their actions,
  • evaluate reliability of developed systems, prepare and review results of practical applications so that they can be used for systems optimization
  • Investigate, evaluate and integrate new technologies, systems, architecture, services and applications for information and communication systems.

Social skills

The ability of target-oriented work in collaboration with others, communication, and understanding their interests and social situations are goals of this course. The students can

  • present and argue the results of their work in written and oral form in an comprehensible way,
  • communicate and collaborate with international professionals, also of other disciplines,
  • collaborate in challenging projects of information and communications technology in a responsible position,
  • develop ideas and solutions in team work.
Autonomy

The course helps to improve ability and readiness to act independently and responsibly, reflect own actions and the actions of others, and to develop the own functioning. Information and Communication Systems students are capable to

  • identify knowledge gaps and propose solutions to overcome these gaps,
  • expand and deepen their knowledge and skills independently, taking into account ecological and economic demands responsibly,
  • familiarize themselves with complex tasks, define new tasks and develop the necessary knowledge for solving it and to systematically apply appropriate means.

Program structure

The four-semester program is designed modularly and is based on the university-wide standardized course structure with uniform module sizes (multiples of six credit points (CP)).

Core qualification: 48 CP

Specialization: 42 CP

Master thesis: 30 CP

Total: 120 CP

The core qualification consists of the module Information Theory and Coding (6 CP), technical complementary courses (12 CP), Business & Management (6 CP), nontechnical complementary courses (6 CP) and research project with seminar (18 CP). The research project with seminar consists of a scientific thesis with documentation and accompanying presentations in a seminar among fellow students.

The students choose between two specialisations (42 CP each):

  • Communication Systems

Containing: Communications, software, and signal processing

  • Secure and Dependable IT Systems

Containing: IT security, networks, software and signal processing

Students write a master thesis (30 CP).

Core Qualification

Module M0523: Business & Management

Module Responsible Prof. Matthias Meyer
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to find their way around selected special areas of management within the scope of business management.
  • Students are able to explain basic theories, categories, and models in selected special areas of business management.
  • Students are able to interrelate technical and management knowledge.


Skills
  • Students are able to apply basic methods in selected areas of business management.
  • Students are able to explain and give reasons for decision proposals on practical issues in areas of business management.


Personal Competence
Social Competence
  • Students are able to communicate in small interdisciplinary groups and to jointly develop solutions for complex problems

Autonomy
  • Students are capable of acquiring necessary knowledge independently by means of research and preparation of material.


Workload in Hours Depends on choice of courses
Credit points 6
Course L2599: Behavioral Game Theory
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Timo Heinrich
Language EN
Cycle WiSe
Content
  • The lecture introduces the behavioral approach to strategic interactions in economics.
  • We will critically review experimental studies of economic behavior in markets, bargaining, auctions and public choice.
Literature
  • Es gibt kein Lehrbuch auf das sich die Vorlesung stützt. Die relevanten Forschungspapiere werden im Lauf der Vorlesung vorgestellt.
  • There is no text book for this lecture. The relevant research papers will be introduced during the course of the module.
Course L2664: Behavioural Decision Theory
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min.
Lecturer Prof. Timo Heinrich
Language EN
Cycle SoSe
Content
  • The lecture introduces the behavioral approach to individual decisions in economics.
  • We will critically review experimental studies of economic behavior in decisions under uncertainty, intertemporal decisions and formation of beliefs.
Literature
  • Angner: A Course in Behavioral Economics, McMillan, 3rd edition, 2020.
  • Eeckhoudt/Gollier/Schlesinger: Economic and Financial Decisions under Risk, Princeton University Press, 2005.
  • Außerdem werden relevante Forschungspapiere im Lauf der Vorlesung vorgestellt.
  • Additionally, relevant research papers will be introduced during the course of the module.
Course L2546: Building Business Data Products
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale folgt
Lecturer Prof. Christoph Ihl, Joschka Schwarz
Language EN
Cycle SoSe
Content
Literature
Course L2544: Business Data Science Basics
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale folgt
Lecturer Prof. Christoph Ihl, Joschka Schwarz
Language EN
Cycle SoSe
Content
Literature
Course L2545: Business Decisions with Machine Learning
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale folgt
Lecturer Prof. Christoph Ihl, Joschka Schwarz
Language EN
Cycle SoSe
Content
Literature
Course L2722: Digitalization and the impact on people
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung (laut FPrO)
Examination duration and scale Ausarbeitung, 5 Seiten
Lecturer Lucia Pohl, Robert Damköhler
Language DE
Cycle SoSe
Content
Literature
Course L1703: Emotional Design / User Centered Product Development
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale Teamarbeit und abschließender Vortrag
Lecturer Jörg Heuser
Language DE
Cycle SoSe
Content

Lecture

  • Objective and subjective perception for the evaluation of product characteristics
  • Effects of material, color, shape and structure to the acceptance of a product
  • Aesthetic function of a product
  • Case studies, lack of acceptance of a product and possible reason

Seminar

  • Identification of non-technical product functions
  • Identification of subjective influences for the product development

Project Work

  • Topics will be developed in cooperation with the students. Project works will be presented in teams, presented and evaluated
Exemplary Project: Holistic product evaluation, product optimization


Literature Wird in der Veranstaltung angegeben
Course L1384: Intellectual Property
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale
Lecturer Janna Thomsen, Cathérine Elkemann
Language DE
Cycle WiSe
Content
  • Trademark law
  • Copyright
  • Patent law
  • Know-how, supplementary performance protection, et al.
  • Enforcement of intellectual property rights
  • Licensing of intellectual property rights
  • Hypothecation, security assignment and evaluation of intellectual property rights


Literature

Quellen und Materialen wird im Internet zur Verfügung gestellt

Course L2600: Green Economy - Entrepreneurship, Innovation & Technology Management
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale Ausarbeitung und Gruppenpräsentation
Lecturer Prof. Michael Prange
Language EN
Cycle WiSe/SoSe
Content

Topics:

  • Green Economy
  • Business models
  • Business strategy
  • Green Technologies
  • Green Innovation
  • Business planning
  • Business development
  • Green Entrepreneurship

Based on examples and case studies primarily in the field of Green Economy, students learn the basics of Entrepreneurship, Innovation and Technology Management and will be able to develop business models, to evaluate start‐up projects and to describe strategic innovation processes.

Literature

Präsentationsfolien, Beispiele und Fallstudien aus der Lehrveranstaltung.

Presentation slides, examples, and case studies from the lecture.

Course L2347: Human resource management for engineers
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 0
Lecturer Helge Kochskämper
Language DE
Cycle WiSe
Content
Literature
Course L1711: Innovation Debates
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale 3 Präsentationen der schriftlichen Ausarbeitung à 20 Minutes
Lecturer Prof. Daniel Heiner Ehls
Language EN
Cycle WiSe
Content

Scientific knowledge grows continuously but also experiences certain alignments over time. For example, early cultures had the believe of a flat earth while latest research has a spherical earth model. Also in social science and business management, from time to time certain concepts that have even been the predominant paradigm are challenged by new observations and models. Consequently, certain controversies emerge and build the base for advancing theory and managerial practice. With this lecture, we put ourselves in the middle of heated debates for informed academics and practitioners of the day after tomorrow.

The lecture targets several controversies in the domain of technology strategy and innovation management. By the classical academic method and the novel problem based learning format of a structured discussion, a given controversy is scrutinized. On selected topics, students will discuss a dispute and gain a thorough understanding. Specifically, based on a brief introduction of a motion, a affirmative constructive as well as a negative constructive is presented by two different student groups. Each presentation is followed by a response of the other group and questions from the class. Topics range from latest theories and concepts for value capture, to the importance of operating within a global marketplace, to cutting edge approaches for innovation stimulation and technology management. Consequently, this lecture deepens the knowledge in technology strategy and innovation management (TIM), enables a critical thinking and thought leadership.

Literature

1.       Course notes and materials provided before the lecture

2.       Leiblein/ Ziedonis (2011): Technology Strategy and innovation management. Edward Elgar Publishing Ltd (optional)

Course L0940: Innovation Management
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale
Lecturer Prof. Cornelius Herstatt
Language DE/EN
Cycle SoSe
Content Innovation is key to corporate growth and sustainibility. In this lecture Prof. Herstatt presents a systematic way from generating ideas to the successful implementation of innovations. The lecture is presented in German language only
Literature
  • Goffin, K., Herstatt, C. and Mitchell, R. (2009): Innovationsmanagement: Strategie und effektive Umsetzung von Innovationsprozessen mit dem Pentathlon-Prinzip, München: Finanzbuch Verlag

    Weiterführende Literatur
  • Innovationsmanagement
    Juergen Hauschildt
  • F + E Management
    Specht, G. / Beckmann, Chr.
  • Management der frühen Innovationsphasen
    Cornelius Herstatt, Birgit Verworn
    (im TUHH-Intranet auch als E-Book verfügbar)
  • Bringing Technology and Innovation Into the Boardroom
  • weitere Literaturempfehlungen auf Anfrage
Course L0161: Internationalization Strategies
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 20-30 Minuten Referat einschl. Diskussionsleitung plus schriftliche Ausarbeitung (ca. 10 Seiten)
Lecturer Prof. Thomas Wrona
Language EN
Cycle SoSe
Content
  • Introduction
  • Internationalization of markets
  • Measuring internationalization of firms
  • Target market strategies
  • Market entry strategies
  • Timing strategies
  • Allocation strategies
  • Working in small teams on close-to-reality problems based on presented theories
  • Paper writing on developed solution to the given problem/project e.g. market attractiveness analysis; development of market entry strategy for a hypothetical product in a given region
Literature
  • Bartlett/Ghoshal (2002): Managing Across Borders, The Transnational Solution, 2nd edition, Boston
  • Buckley, P.J./Ghauri, P.N. (1998), The Internationalization of the Firm, 2nd edition
  • Czinkota, Ronkainen, Moffett, Marinova, Marinov (2009), International Business, Hoboken
  • Dunning, J.H. (1993), The Globalization of Business: The Challenge of the 1990s, London
  • Ghoshal, S. (1987), Global Strategy: An Organizing Framework, Strategic Management Journal, p. 425-440
  • Praveen Parboteeah, K.,Cullen, J.B. (2011) , Strategic International Management, International 5th Edition
  • Rugman, A.M./Collinson, S. (2012): International Business, 6th Edition, Essex 2012
Course L2717: Configuration Management
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer York Schnatmeier
Language DE
Cycle SoSe
Content

Configuration management in complex projects and plans with high development shares, long runtimes and the use of high technology.

Configuration management (KM) is thus becoming increasingly important, especially in public, national and international tenders/projects, as well as in the aerospace and shipbuilding industries, among others. It is a tool of project management.

The essential terms and processes of KM are explained. The common basis is the DIN ISO 10007. KM is classified and delimited to the essential other processes of project management such as systems engineering, scheduling, quality management, risk management, controlling, contract management, etc.. The necessary structures in the products to be developed and manufactured and within the project organization itself are shown. KM supports the interface between the Project Management Office (PMO) and the executing departments, as well as the subcontractors involved. A key discipline of KM is change control, starting from the identification of the need for change to its implementation in planning, design, manufacturing and product. Special attention is given to the involvement of the client, often the public sector client. The classical project phases, acquisition, realization, commissioning and utilization require commonalities as well as different requirements for the respective KM.

The content taught is intended to enable students to work purposefully on new projects from the outset, to drive existing projects forward and to use KM in the process.

Basics I    
Concepts of configuration management
Goals & definitions,
historical development
3x3 of project management, why processes are so important,
Different project phases
Complex projects and project management

Basics II     
Description of the configuration with physical and functional features/properties
Different project phases
Project organization (AG, AN, ARGE and consortia, UAN)
DIN ISO 10007
Complex projects and project management

Delimitations and interfaces to other processes    
Systems Engineering and the V-Model,
scheduling,
quality management,
risk management,
controlling,
Construction contract and contract management

Structures in projects
Product structure, functional, physical and logistic structures,
document structure, work breakdown structure
Organization and Responsibility Matrix

KM Identification
a. Formation of configuration units and product structure
b. Criteria for the formation of baselines
c. Baselines, Master Record Index
d. Scheduled subscription lists

KM Change Control + Change Management
a. Change demand and change effort
b. Changes with and without customer and subcontractor involvement
c. Vertical and horizontal object dependencies
d. Change process
e. Common point of disposal

KM auditing
a. Audits and audit levels
b. Audits with and without customer and subcontractor participation
c. Audits and the V-Model
d. Presentation of project progress based on completed audits
e. Audits and the quality management
f. Planning of audits

KM Accounting 
a. Accounting task & use of data
b. Interface to construction status management
c. Interface to existing databases the product lifecycle management PLM

KM Planning
a. Determination for the acquisition phase
b. Specifications for the realization phase during the acquisition phase
c.  The KM plan for the realization phase

KM Organization and Tools
a. Disposal point / Configuration Control Board

Summary

KM as an interface between project management and order processing.
KM as a success factor in product development and a tool for technical control


Literature DIN ISO 10007
Course L2350: Leadership
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Dr. Thomas Kosin
Language DE
Cycle WiSe
Content
Literature
Course L1231: Management and Leadership
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 Minuten
Lecturer Prof. Christian Ringle, Janna Ehrlich
Language DE
Cycle SoSe
Content
  • definitions and foundations of strategic management
  • strategic planning
  • strategic analysis and forecast
  • development of strategic options
  • strategy evaluaton, implementation and strategic control
Literature

- Bea, F.X.; Haas, J.: Strategisches Management, 5. Auflage, Stuttgart 2009.
- Dess, G. G.; Lumpkin, G. T.; Eisner, A. B.: Strategic management: Creating competitive advantages, Boston 2010
- Hahn, D.; Taylor, B.: Strategische Unternehmensplanung: Strategische Unternehmensführung, 9. Auflage, Heidelberg 2006.
- Hinterhuber, H.H.: Strategische Unternehmensführung Bd. 1: Strategisches Denken, 7. Aufl., Berlin u. a. 2004
- Hinterhuber, H.H.: Strategische Unternehmensführung Bd. 2: Strategisches Handeln, 7. Aufl., Berlin u. a. 2004
- Hungenberg, H.: Strategisches Management in Unternehmen, 6. Auflage, Wiesbaden 2011
- Johnson, G.; Scholes, K.; Whittington, R.: Strategisches Management. Eine Einführung, 9. Auflage, München 2011
- Macharzina, K.: Unternehmensführung: Das internationale Managementwissen, 7. Auflage, Wiesbaden 2010.
- Porter, M.E.: Competitive strategy, New York 1980 (deutsche Ausgabe: Wettbewerbsstrategie, 10. Aufl., Frankfurt am Main 1999)
- Welge, M. K.; Al-Laham, A.: Strategisches Management, 5. Auflage, Wiesbaden 2008.

Course L0863: Marketing
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale
Lecturer Prof. Christian Lüthje
Language EN
Cycle WiSe
Content

Contents

Basics of Marketing

The philosophy and fundamental aims of marketing. Contrasting different marketing fields (e.g. business-to-consumer versus business-to-business marketing). The process of marketing planning, implementation and controlling

Strategic Marketing Planning

How to find profit opportunities? How to develop cooperation, internationalization, timing, differentiation and cost leadership  strategies?

Market-oriented Design of products and services

How can companies get valuable customer input on product design and development? What is a service? How can companies design innovative services supporting the products?

Pricing

What are the underlying determinants of pricing decision? Which pricing strategies should companies choose over the life cycle of products? What are special forms of pricing on business-to-business markets (e.g. competitive bidding, auctions)?

Marketing Communication

What is the role of communication and advertising in business-to-business markets? Why advertise? How can companies manage communication over advertisement, exhibitions and public relations?

Sales and Distribution

How to build customer relationship? What are the major requirements of industrial selling? What is a distribution channel? How to design and manage a channel strategy on business-to-business markets?


Knowledge

Students will gain an introduction and good overview of

  • Specific challenges in the marketing of innovative goods and services
  • Key strategic areas in strategic marketing planning (cooperation, internationalization, timing)
  • Tools for information gathering about future customer needs and requirements
  • Fundamental pricing theories and pricing methods
  • Main communication instruments
  • Marketing channels and main organizational issues in sales management
  • Basic approaches for managing customer relationship

Skills

Based on the acquired knowledge students will be able to:

  • Design market timing decisions
  • Make decisions for marketing-related cooperation and internationalization activities
  • Manage the challenges of market-oriented development of new products and services
  • Translate customer needs into concepts, prototypes and marketable offers
  • Determine the perceived quality of an existing product or service using advanced elicitation and measurement techniques that fit the given situation
  • Analyze the pricing alternatives for products and services
  • Make strategic sales decisions for products and services (i.e. selection of sales channels)
  • Analyze the value of customers and apply customer relationship management tools

Social Competence

The students will be able to

  • have fruitful discussions and exchange arguments
  • present results in a clear and concise way
  • carry out respectful team work

Self-reliance

The students will be able to

  • Acquire knowledge independently in the specific context and to map this knowledge on other new complex problem fields.
  • Consider proposed business actions in the field of marketing and reflect on them.



Literature

Homburg, C., Kuester, S., Krohmer, H. (2009). Marketing Management, McGraw-Hill Education, Berkshire, extracts p. 31-32, p. 38-53, 406-414, 427-431

Bingham, F. G., Gomes, R., Knowles, P. A. (2005). Business Marketing, McGraw-Hill Higher Education, 3rd edition, 2004,  p. 106-110

Besanke, D., Dranove, D., Shanley, M., Schaefer, S. (2007), Economics of strategy, Wiley, 3rd edition, 2007, p. 149-155

Hutt, M. D., Speh, T.W. (2010), Business Marketing Management, 10th edition, South Western, Lengage Learning, p. 112-116


Course L2440: Mergers & Acquistions (M&A)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Philipp Haberstock
Language DE
Cycle SoSe
Content
Literature
Course L0709: Project Management
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale
Lecturer Prof. Carlos Jahn
Language EN
Cycle WiSe
Content

The lecture “project management” aims at characterizing typical phases of projects. Important contents are: possible tasks, organization, techniques and tools for initiation, definition, planning, management and finalization of projects. This will also be deepened by exercises within the framework of the event.

The following topics will be covered in the lecture:

  • SMART, Work Breakdown Structure, Operationalization, Goals relation matrix
  • Metra-Potential Method (MPM), Critical-Path Method (CPM), Program evaluation and review technique (PERT)
  • Milestone Analysis, Earned Value Analyis (EVA)
  • Progress reporting, Tracing of project goals, deadlines and costs, Project Management Control Loop, Maturity Level Assurance (MLA)
  • Risk Management, Failure Mode and Effects Analysis (FMEA), Risk Matrix

Literature

Project Management Institute (2017): A Guide to the Project Management Body of Knowledge (PMBOK® Guide) 6. Aufl. Newtown Square, PA, USA: Project Management Institute.

DeMarco, Tom (1997). The Deadline: A Novel About Project Management.

DIN Deutsches Institut für Normung e.V. (2009). Projektmanagement - Projektmanagementsysteme - Teil 5: Begriffe. (DIN 69901-5)

Frigenti, Enzo and Comninos, Dennis (2002). The Practice of Project Management.

Haberfellner, Reinhard (2015). Systems Engineering: Grundlagen und Anwendung

Harrison, Frederick and Lock, Dennis (2004). Advanced Project Management: A Structured Approach.

Heyworth, Frank (2002). A Guide to Project Management.

ISO - International Organization for Standardization (2012). Guidance on Project Management. (21500:2012(E))

Kerzner, Harold (2013). Project Management: A Systems Approach to Planning, Scheduling, and Controlling.

Lock, Dennis (2018). Project Management.

Martinelli, Russ J. and Miloševic, Dragan (2016). Project Management Toolbox: Tools and Techniques for the Practicing Project Manager.

Murch, Richard (2011). Project Management: Best Practices for IT Professionals.

Patzak, Gerold and Rattay, Günter (2009). Projektmanagement: Leitfaden zum Management von Projekten, Projektportfolios, Programmen und projektorientierten Unternehmen.

Course L1385: Project Management in Industrial Practice
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale
Lecturer Dipl.-Ing. Wilhelm Radomsky
Language DE
Cycle WiSe
Content
  • Project management in a company
  • Project life cycle / Project environment
  • Project structuring / Project planning
  • Deployment of methods / Team development
  • Contract / Risk / Change management
  • Multi-project management / Quality management
  • Project controlling / Reporting
  • Project organization / Project conclusion


Literature

• Brown (1998): Erfolgreiches Projektmanagement in 7 Tagen

• Burghardt (2002): Einführung in Projektmanagement

• Cleland / King (1997): Project Management Handbook

• Hemmrich, Harrant (2002): Projektmanagement, In 7 Schritten zum Erfolg

• Kerzner (2003): Projektmanagement

• Litke (2004): Projektmanagement

• Madauss (2005): Handbuch Projektmanagement

• Patzak / Rattay (2004): Projektmanagement

• PMI (2004): A Guide to the Project Management Body of Knowledge

• RKW / GPM: Projektmanagement Fachmann

• Schelle / Ottmann / Pfeiffer (2005): ProjektManager

Course L1897: Project Management and Agile Methods
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale Ausarbeitung eines Projektplans in Kleingruppen (ca. 5-10 Seiten)
Lecturer Christian Bussler
Language DE
Cycle SoSe
Content

The Seminar teaches the basics of project management, which constitutes the foundations for technical as well as for business projects. It also includes a sideline about process management. The participants will work on the following questions:

  • What is a project and what challenges does it imply?
  • What methods have been developed to meet those challenges?
  • How have this methods evolved over time? What is “state of the art” today?
  • What basic skills should project members have?
  • What is the difference between project and process? How can the latter be analyzed?

The approaches are not just taught theoretically, but put to use in group work. Through this approach, participants are enabled to work successfully on actual projects - and manage projects later on. As project work is increasingly important in work life, project management is a key skill for job applicants.

Main topics of the seminar include:

  • The “magic triangle” of project objectives
  • Typical project phases
  • Key instruments and methods (project structure plan, RACI, Gantt chart)
  • Project organization and steering
  • Team communication and collaboration
  • The agile approach of Scrum
  • Process levels and cascading
  • Process improvement

With the knowledge and experience from the seminar, participants should be able to acquire a basic certificate in project management with relatively little additional effort. The certification is available through institutions like GPM.

Participants already start working on their homework paper in the group work. It comprises 5 to 10 pages and a structure plan for the chosen project, which can be done in Excel for example. Ideally, the members of the work groups write their homework paper together. The expected scale of the paper would increase in this case, yet not proportionally with the number of group members (4 participants would be expected to hand in a paper of 15-20 pages).

Literature

Hans-D. Litke, Ilonka Kunow; Projektmanagement. 3. Auflage 2015

Georg Patzak, Günter Rattay; Projektmanagement: Projekte, Projektpotfolios, Programme und projektorientierte Unternehmen. 6. Auflage 2014

GPM Deutsche Gesellschaft für Projektmanagement; Kompetenzbasiertes Projektmanagement (PM3): Handbuch für die Projektarbeit, Qualifizierung und Zertifizierung auf Basis der IPMA Competence Baseline Version 3.0. 6. Auflage, 2014

Tom DeMarco; Der Termin: Ein Roman über Projektmanagement. 2007

Jeff Sutherland, Ken Schwaber; Der Scrum Guide. Der gültige Leitfaden für Scrum: Die Spielregeln. Ständig aktualisiert, kostenloser Download auf http://www.scrumguides.org/

Jurgen Appello; Management 3.0: Leading Agile Developers, Developing Agile Leaders. 2010

Course L2349: Accounting and Financial Statements
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Prof. Matthias Meyer
Language DE
Cycle WiSe/SoSe
Content
Literature
Course L1293: Risk Management
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 Minuten
Lecturer Dr. Meike Schröder
Language DE
Cycle WiSe
Content

Risks are inherent in every aspect of business, and the ability of managing risks is one important aspect that differentiates successful business leaders from others. There exist various categories of risk, such as credit, country, market, liquidity, operational, supply chain and reputational. Companies are vulnerable to risks. What makes such risks even more complex and challenging to manage is that the risks are often not within the direct control of the business executive. They can exist outside of the company boundary, and yet the impact to the company can be huge. The awareness and knowledge of how to manage risks in companies, will become increasingly important.

Some of the main topics covered in this lecture include:

  • Targets and legal aspects of risk management
  • Risks and their impact
  • Risk types (classification)
  • Risk management and human resource
  • Steps of the risk management process and their instruments
  • Methods of risk assessment
  • Implementation of risk management
  • Management of specific risks

This lecture is presented in German language only.


Literature

Brühwiler, B., Romeike, F. (2010), Praxisleitfaden Risikomanagement. ISO 31000 und ONR 49000 sicher anwenden, Berlin: Erich Schmidt.

Cottin, C., Döhler, S. (2013), Risikoanalyse. Modellierung, Beurteilung und Management von Risiken mit Praxisbeispielen, 2. überarbeitete und erweiterte Aufl., Wiesbaden: Springer.

Eller, R., Heinrich, M., Perrot, R., Reif, M. (2010), Kompaktwissen Risikomanagement. Nachschlagen, verstehen und erfolgreich umsetzen, Wiesbaden: Gabler.

Fiege, S. (2006), Risikomanagement- und Überwachungssystem nach KonTraG. Prozess, Instrumente, Träger, Wiesbaden: Deutscher Universitäts-Verlag.

Frame, D. (2003), Managing Risk in organizations. A guide for managers, San Francisco: Wiley.

Götze, U., Henselmann, K., Mikus, B. (2001), Risikomanagement, Heidelberg: Physica-Verlag.

Müller, K. (2010), Handbuch Unternehmenssicherheit. Umfassendes Sicherheits-, Kontinuitäts- und Risikomanagement mit System, 2., neu bearbeitete Auflage, Wiesbaden: Springer.

Rosenkranz, F., Missler-Behr, M. (2005), Unternehmensrisiken erkennen und managen. Einführung in die quantitative Planung, Berlin u.a.: Springer.

Wengert, H., Schittenhelm F. A. (2013), Coporate Risk Mangement, Berlin: Springer.


Course L1389: Key Aspects of Patent Law
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale
Lecturer Prof. Christian Rohnke
Language DE
Cycle WiSe/SoSe
Content

Mayor Issues in Patent Law:

The seminar covers five mayor issues in german patent law, namely patentatbility, prosecution, ownership and employee inventions, infringement and licensing and other commercila uses.

The lecturer will give an introduction to each issue which will be followed by in-depth inquiry by the participants through group work, presentation of results and moderated discussion.


Literature wird noch bekannt gegeben
Course L2796: Startup Engineering: Cases
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 30 Minuten
Lecturer Prof. Christoph Ihl
Language EN
Cycle SoSe
Content
Literature
Course L2410: Startup Engineering: Project
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 30 Minuten
Lecturer Prof. Christoph Ihl, Dr. Hannes Lampe
Language EN
Cycle SoSe
Content
Literature
Course L2409: Strategic Shared-Value Management
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 30 Minuten
Lecturer Dr. Jill Küberling-Jost
Language EN
Cycle WiSe/SoSe
Content
Literature
Course L2295: Strategische Planung mit Planspielen
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale
Lecturer Dr. Jan Spitzner
Language DE
Cycle SoSe
Content
Literature
Course L1351: Management Consulting
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale
Lecturer Gerald Schwetje
Language DE
Cycle SoSe
Content

The Management Consulting lecture teaches students knowledge that is complementary to their technical and business administration studies. They learn the basics of consulting and agent-principal theory and are given an overview of the consulting market. They are also shown how management consulting works and which methodical building blocks (processes) are needed to deal with a client’s concerns and to undertake a consulting process. By means of practical examples students gain an insight into the extensive range of management consultancy services and of functional consulting.

Literature

Bamberger, Ingolf (Hrsg.): Strategische Unternehmensberatung: Konzeptionen - Prozesse - Methoden, Gabler Verlag, Wiesbaden 2008

Bansbach, Schübel, Brötzel & Partner (Hrsg.): Consulting: Analyse - Konzepte - Gestaltung, Stollfuß Verlag, Bonn 2008

Fink, Dietmar (Hrsg.): Strategische Unternehmensberatung, Vahlens Handbücher, München, Verlag Vahlen, 2009

Heuermann, R./Herrmann, F.: Unternehmensberatung: Anatomie und Perspektiven einer Dienstleistungselite, Fakten und Meinungen für Kunden, Berater und Beobachter der Branche, Verlag Vahlen, München 2003

Kubr, Milan: Management consulting: A guide to the profession, 3. Auflage, Geneva, International Labour Office, 1992

Küting, Karlheinz (Hrsg.): Saarbrücker Handbuch der Betriebswirtschaftlichen Beratung; 4. Aufl., NWB Verlag, Herne 2008

Nagel, Kurt: 200 Strategien, Prinzipien und Systeme für den persönlichen und unternehmerischen Erfolg, 4. Aufl., Landsberg/Lech, mi-Verlag, 1991

Niedereichholz, Christel: Unternehmensberatung: Beratungsmarketing und Auftragsakquisition, Band 1, 2. Aufl., Oldenburg Verlag, 1996

Niedereichholz; Christel: Unternehmensberatung: Auftragsdurchführung und Qualitätssicherung, Band 2, Oldenburg Verlag, 1997

Quiring, Andreas: Rechtshandbuch für Unternehmensberater: Eine praxisorientierte Darstellung der typischen Risiken und der zweckmäßigen Strategien zum Risikomanagement mit Checklisten und Musterverträgen, Vahlen Verlag, München 2005

Schwetje, Gerald: Ihr Weg zur effizienten Unternehmensberatung: Beratungserfolg durch eine qualifizierte Beratungsmethode, NWB Verlag, Herne 2013

Schwetje, Gerald: Wer seine Nachfolge nicht regelt, vermindert seinen Unternehmenswert, in: NWB, Betriebswirtschaftliche Beratung, 03/2011 und: Sparkassen Firmenberatung aktuell, 05/2011

Schwetje, Gerald: Strategie-Assessment mit Hilfe von Arbeitshilfen der NWB-Datenbank - Pragmatischer Beratungsansatz speziell für KMU: NWB, Betriebswirtschaftliche Beratung, 10/2011

Schwetje, Gerald: Strategie-Werkzeugkasten für kleine Unternehmen, Fachbeiträge, Excel-Berechnungsprogramme, Checklisten/Muster und Mandanten-Merkblatt: NWB, Downloadprodukte, 11/2011

Schwetje, Gerald: Die Unternehmensberatung als komplementäres Leistungsangebot der Steuerberatung - Zusätzliches Honorar bei bestehenden Klienten: NWB, Betriebswirtschaftliche Beratung, 02/2012

Schwetje, Gerald: Die Mandanten-Berater-Beziehung: Erfolgsfaktor Beziehungsmanagement, in: NWB Betriebswirtschaftliche Beratung, 08/2012

Schwetje, Gerald: Die Mandanten-Berater-Beziehung: Erfolgsfaktor Vertrauen, in: NWB Betriebswirtschaftliche Beratung, 09/2012

Wohlgemuth, Andre C.: Unternehmensberatung (Management Consulting): Dokumentation zur Vorlesung „Unternehmensberatung“, vdf Hochschulverlag, Zürich 2010

Course L0536: Management of Trust and Reputation
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 20-30 Minuten und Thesenpapier
Lecturer Dr. Michael Florian
Language DE
Cycle SoSe
Content

The seminar offers a comparison and analysis of relevant theoretical concepts and practical issues in the corporate management of trust and reputation. Selected case studies will be used to discuss opportunities, problems, and limitations using trust and reputation to coordinate and control economic behavior.

Literature

Allgäuer, Jörg E. (2009): Vertrauensmanagement: Kontrolle ist gut, Vertrauen ist besser. Ein Plädoyer für Vertrauensmanagement als zentrale Aufgabe integrierter Unternehmenskommunikation von Dienstleistungsunternehmen. München: brain script Behr.
Beckert, Jens; Metzner, André; Roehl, Heiko (1998): Vertrauenserosion als organisatorische Gefahr und wie ihr zu begegnen ist. In: Organisationsentwicklung 17 (4), S. 57-66.
Eberl, Peter (2003): Vertrauen und Management. Studien zu einer theoretischen Fundierung des Vertrauenskonstruktes in der Managementlehre. Stuttgart: Schäffer-Poeschel.
Eberl, Peter (2012): Vertrauen und Kontrolle in Organisationen. Das problematische Verhältnis der Betriebswirtschaftslehre zum Vertrauen. In: Möller, Heidi (Hg.): Vertrauen in Organisationen. Riskante Vorleistung oder hoffnungsvolle Erwartung? Wiesbaden: Springer VS, S. 93-110.
Eisenegger, Mark (2005): Reputation in der Mediengesellschaft. Konstitution   Issues Monitoring   Issues Management. Wiesbaden: VS Verlag für Sozialwissenschaften.
Florian, Michael (2013): Paradoxien des Vertrauensmanagements. Risiken und Chancen einer widerspenstigen immateriellen Ressource. In: Personalführung 46, Heft 2/2013, S. 40-47.
Grüninger, Stephan (2001): Vertrauensmanagement - Kooperation, Moral und Governance. Marburg: Metropolis.
Grüninger, Stephan; John, Dieter (2004): Corporate Governance und Vertrauensmanagement. In: Josef Wieland (Hg.): Handbuch Wertemanagement. Erfolgsstrategien einer modernen Corporate Governance. Hamburg: Murmann, S. 149-177.
Meifert, Matthias (2008): Ist Vertrauenskultur machbar? Vorbedingungen und Überforderungen betrieblicher Personalpolitik. In: Rainer Benthin und Ulrich Brinkmann (Hg.): Unternehmenskultur und Mitbestimmung. Betriebliche Integration zwischen Konsens und Konflikt. Frankfurt/Main, New York: Campus, S. 309-327.
Neujahr, Elke; Merten, Klaus (2012): Reputationsmanagement. Zur Kommunikation von Wertschätzung. In: PR-Magazin 06/2012, S. 60-67.
Osterloh, Margit; Weibel, Antoinette (2006): Investition Vertrauen. Prozesse der Vertrauensentwicklung in Organisationen. Wiesbaden: Gabler.
Osterloh, Margit; Weibel, Antoinette (2006): Vertrauen und Kontrolle. In: Robert J. Zaugg und Norbert Thom (Hg.): Handbuch Kompetenzmanagement. Durch Kompetenz nachhaltig Werte schaffen. Festschrift für Prof. Dr. Dr. h.c. mult. Norbert Thom zum 60. Geburtstag. Bern [u.a.]: Haupt, S. 53-63.
Osterloh, Margit; Weibel, Antoinette (2007): Vertrauensmanagement in Unternehmen: Grundlagen und Fallbeispiele. In: Manfred Piwinger und Ansgar Zerfaß (Hg.): Handbuch Unternehmenskommunikation. Wiesbaden: Gabler, S. 189-203.
Schmidt, Matthias; Beschorner, Thomas (2005): Werte- und Reputationsmanagement. München und Mering: Hampp.
Seifert, Matthias (2003): Vertrauensmanagement in Unternehmen. Eine empirische Studie über Vertrauen zwischen Angestellten und ihren Führungskräften. 2. Aufl. München und Mering: Hampp.
Sprenger, Reinhard K. (2002): Vertrauen führt. Worauf es im Unternehmen wirklich ankommt, Frankfurt/Main, New York.
Thiessen, Ansgar (2011): Organisationskommunikation in Krisen. Reputationsmanagement durch strategische, integrierte und situative Krisenkommunikation. Wiesbaden: VS Verlag für Sozialwissenschaften.
Walgenbach, Peter (2000): Das Konzept der Vertrauensorganisation. Eine theoriegeleitete Betrachtung. In: Die Betriebswirtschaft 60 (6), S. 707-720.
Walgenbach, Peter (2006): Wieso ist Vertrauen in ökonomischen Transaktionsbeziehungen so wichtig, und wie lässt es sich generieren? In: Hans H. Bauer, Marcus M. Neumann und Anja Schüle (Hg.): Konsumentenvertrauen. Konzepte und Anwendungen für ein nachhaltiges Kundenbindungsmanagement. München: Vahlen, S. 17-26.
Weibel, Antoinette (2004): Kooperation in strategischen Wissensnetzwerken. Vertrauen und Kontrolle zur Lösung des sozialen Dilemmas. Wiesbaden: Dt. Univ.-Verl.
Weinreich. Uwe (2003): Vertrauensmanagement. In: Deutscher Manager-Verband e.V. (Hg.): Die Zukunft des Managements. Perspektiven für die Unternehmensführung. Zürich: Vdf, Hochsch.-Verl. an der ETH, S. 193-201.

Module M0524: Non-technical Courses for Master

Module Responsible Dagmar Richter
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The Nontechnical Academic Programms (NTA)

imparts skills that, in view of the TUHH’s training profile, professional engineering studies require but are not able to cover fully. Self-reliance, self-management, collaboration and professional and personnel management competences. The department implements these training objectives in its teaching architecture, in its teaching and learning arrangements, in teaching areas and by means of teaching offerings in which students can qualify by opting for specific competences and a competence level at the Bachelor’s or Master’s level. The teaching offerings are pooled in two different catalogues for nontechnical complementary courses.

The Learning Architecture

consists of a cross-disciplinarily study offering. The centrally designed teaching offering ensures that courses in the nontechnical academic programms follow the specific profiling of TUHH degree courses.

The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles”.

The subjects that can be studied in parallel throughout the student’s entire study program - if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies.

Teaching and Learning Arrangements

provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses.

Fields of Teaching

are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, communication studies, migration studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and start-ups in a goal-oriented way.

The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goal-oriented communication skills, e.g. the skills required by outgoing engineers in international and intercultural situations.

The Competence Level

of the courses offered in this area is different as regards the basic training objective in the Bachelor’s and Master’s fields. These differences are reflected in the practical examples used, in content topics that refer to different professional application contexts, and in the higher scientific and theoretical level of abstraction in the B.Sc.

This is also reflected in the different quality of soft skills, which relate to the different team positions and different group leadership functions of Bachelor’s and Master’s graduates in their future working life.

Specialized Competence (Knowledge)

Students can

  • explain specialized areas in context of the relevant non-technical disciplines,
  • outline basic theories, categories, terminology, models, concepts or artistic techniques in the disciplines represented in the learning area,
  • different specialist disciplines relate to their own discipline and differentiate it as well as make connections, 
  • sketch the basic outlines of how scientific disciplines, paradigms, models, instruments, methods and forms of representation in the specialized sciences are subject to individual and socio-cultural interpretation and historicity,
  • Can communicate in a foreign language in a manner appropriate to the subject.
Skills

Professional Competence (Skills)

In selected sub-areas students can

  • apply basic and specific methods of the said scientific disciplines,
  • aquestion a specific technical phenomena, models, theories from the viewpoint of another, aforementioned specialist discipline,
  • to handle simple and advanced questions in aforementioned scientific disciplines in a sucsessful manner,
  • justify their decisions on forms of organization and application in practical questions in contexts that go beyond the technical relationship to the subject.



Personal Competence
Social Competence

Personal Competences (Social Skills)

Students will be able

  • to learn to collaborate in different manner,
  • to present and analyze problems in the abovementioned fields in a partner or group situation in a manner appropriate to the addressees,
  • to express themselves competently, in a culturally appropriate and gender-sensitive manner in the language of the country (as far as this study-focus would be chosen), 
  • to explain nontechnical items to auditorium with technical background knowledge.





Autonomy

Personal Competences (Self-reliance)

Students are able in selected areas

  • to reflect on their own profession and professionalism in the context of real-life fields of application
  • to organize themselves and their own learning processes      
  • to reflect and decide questions in front of a broad education background
  • to communicate a nontechnical item in a competent way in writen form or verbaly
  • to organize themselves as an entrepreneurial subject country (as far as this study-focus would be chosen)     



Workload in Hours Depends on choice of courses
Credit points 6
Course L1775: “What’s up, Doc?” Science and Stereotypes in Literature and Film
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dr. Jennifer Henke
Language EN
Cycle WiSe/SoSe
Content

Popular novels and films significantly contribute to the public understanding of science and its representatives. How to define “good” or “bad” science is negotiated in a variety of artistic works. Stereotypes such as the “mad scientist”, which originated in early nineteenth century England, continue to persist. Mary Shelley created the prototype of the obsessive and reckless scientist in Frankenstein - The Modern Prometheus (1818) who conducts his forbidden experiments in a secret lab and crosses ethical boundaries. This masculine stereotype has been followed by further ones such as the noble, adventurous or clumsy scientist, whereas scholars have only recently begun to consider the representation of female science.

First, this seminar is devoted to selected formations of knowledge in relation to literature from classical antiquity to the present. Second, the focus shall rest on the production of persistent stereotypes in various media formats such as novels or films while paying particular attention to the aspect of gender. The overall goal of the seminar is an understanding of science as a cultural practice.  

Requirements for participation: Shelley, Mary: Frankenstein. New York: Norton, 2012. Please pay attention to the exact publication dates.

Literature Teilnahmevoraussetzungen: Shelley, Mary: Frankenstein. New York: Norton, 2012. Bitte ausschließlich diese Edition anschaffen.


Course L2064: 120 years of film history
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Dr. Oliver Schmidt
Language DE
Cycle WiSe/SoSe
Content The lecture deals with the relationship between the develpoment of film technology, film aesthetics, and society. Based on the nineteenth-century film's precursors such as the laterna magica, photography and kinetoscope, crucial stages of more than 120 years of film history are studied chronologically in terms of: How does the development of new media techniques reflect certain social changes and needs? What new forms of aesthetic expression are possible through such technical innovations as the introduction of sound film, color film or handheld camera? And to what extent do these new forms of aesthetic expression in turn reflect certain social sensitivities, ultimately the respective zeitgeist? Main topics of the lecture are: the technical euphoria of the 19th century, the early film, the German Expressionist film, the classic Hollywood cinema, the European postwar cinema, exploitation and underground cinema, New Hollywood, the blockbuster cinema, independent cinema up to current phenomena like the „cinema of dissolution“. On the one hand, the participants learn in-depth, detailed knowledge of the history, meaning and analysis of the medium film and thereby acquire media literacy. On the other hand, the participants should gain a deeper understanding of the real interdependencies of technologies in culture and society and their historical transformation processes through an interdisciplinary perspective on film (history of technology, media studies and social science).
Literature
Course L1774: Applied Arts: Form and Function
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Prof. Margarete Jarchow, Dr. Christian Lechelt
Language DE
Cycle WiSe/SoSe
Content

From Arts & Crafts to modern Design - applied arts focus on the design of all kinds of products. Therefore applied arts allow to come to more thorough conclusions about social, historical, cultural issues.

In the course the impact of social developments on these particular genres are discussed.

Literature

Wird noch angegeben

Will be announced in lecture
Course L2854: Care-Crisis, Corona-Crisis and Social Inequalities
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale Gruppenreferat mit Handout (45 Minuten)
Lecturer Anna Maria Köster-Eiserfunke
Language DE
Cycle WiSe/SoSe
Content

As the Corona pandemic made clear, all people are dependent on caring activities and health infrastructures. However, the social distribution of these activities as well as the access to health care are characterized by numerous inequalities and are structurally in crisis. These processes of crisis as well as the significance of social inequalities in the handling of the Corona pandemic will be focused on and worked out together in the seminar. For this purpose, we will deal with the economization of the health sector and bio-political demarcations, with new family divisions of labor and the significance of poverty for health risks, as well as with political possibilities for action to overcome the crisis(es) in solidarity.

Literature

Aulenbacher, B., Dammayr, M. (Hg.) 2014: Für sich und andere sorgen. Krise und Zukunft von Care in der modernen Gesellschaft // Volkmer, M., Werner, K. 2020: Die Corona-Gesellschaft. Analysen zur Lage und Perspektiven für die Zukunft

Course L1990: Clash of Cultures. Film and TV series as images of the own and the other
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Jacobus Bracker
Language DE
Cycle WiSe/SoSe
Content

Images are negotiating concepts of the own, other and alien. Especially tv series like “Game of Thrones”, “Vikings”, or “The Walking Dead” and films like “Alien” or “Lord of the Rings” show clashes of cultures. Irrespective of their genre - fantasy, science fiction, or history - the moving images use always similar patterns to show and tell the own and the other. During the seminar we will deal with such concepts and concepts of culture and the specifics of film and series to watch and analyse selected examples from these perspectives.


Literature

Literaturhinweise, Texte etc. werden zu gegebener Zeit online zur Verfügung gestellt.

Course L1441: German as a Foreign Language for International Master Programs
Typ Seminar
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Examination Form Klausur
Examination duration and scale
Lecturer Dagmar Richter
Language DE
Cycle WiSe/SoSe
Content

Master’s German course in cooperation with IBH e.V. - Master’s German courses at different levels

In the international studies program these are obligatory for non-native speakers of German and for students without a DSH certificate or equivalent TEST-DAF result. Grading after an aptitude test. All other students must sign up for a total of 4 ECTS from the catalog of non-technical supplementary courses.



Literature - Will be announced in lectures -
Course L1884: The Hamburger Speicherstadt - from achievements of engineering to world cultural heritage
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 20 minütiges Referat mit anschließender Diskussion
Lecturer Dr. Jörg Schilling
Language DE
Cycle WiSe/SoSe
Content

The seminar wants to show the problems and challenges for the engineers, who built the Hamburger Speicherstadt and their sustainable architectural solutions, which are still of vital importance and the basis for becoming a world cultural heritage.

Literature u.a.: Hamburg und seine Bauten unter Berücksichtigung seiner Nachbarstädte Altona und Wandsbek, hg. vom Architekten- und Ingenieur-Verein zu Hamburg, Hamburg 1890; Karin Maak: Die Speicherstadt im Hamburger Hafen, Hamburg 1895; Hermann Hipp: Freie und Hansestadt Hamburg, Köln 1989; Matthias von Popowski: Franz Andreas Meyer (1837-1901). Oberingenieur und Leiter des Ingenieurwesens von 1872-1901, in: Wie das Kunstwerk Hamburg entstand, hg. v. Dieter Schädel, Hamburg 2006, S. 64-79; Ralf Lange: HafenCity + Speicherstadt : das maritime Quartier in Hamburg, Hamburg 2010.
Course L2367: Digital art
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale Referat ca. 20 min. plus anschließende Diskussion
Lecturer Dr. Imke Hofmeister
Language DE
Cycle WiSe/SoSe
Content

Digitalization is having a major impact on many areas of our lives and the use of digital technologies in art and design has increased rapidly. After all, art is not only subject to constant change, but also constantly adapts to technical conditions. After the photographic art of the mid-19th century and the video art of the 1960s, which already brought about major changes in artistic creation, digital art is becoming increasingly important in the field of media art. The first attempts to use the computer with corresponding graphic software as an artistic medium took place in the 80/90s of the 20th century. Since then, there has been a broad development in the field of digital art, which now encompasses the most diverse digital pictorial phenomena and art genres and is thus intertwined in its objects, theories and practices with digital media in a variety of ways. The seminar gives an overview of the history of digital art and its different genres. These include, for example, photopaintings, where digital manipulation, filtering processes and painting can process the image and transform it over many stages into a completely new form. Also 3-D images, vector graphics, mathematical art and computer art in general. At the same time, the digital development in art is to be illuminated, from the first beginnings on the computer with comparatively simple "digital aids", e.g. in the form of simple image processing programs, to the present sophisticated graphic tools.

In addition, the presentation, dissemination and conservation possibilities of digital art will also be discussed, which can be disseminated very well on the Internet primarily because it can be displayed on a computer screen. The great fascination with digital creative work and the almost inexhaustible possibilities offered by the medium of computers to artists, who will continue to ensure that digital art finds a permanent place alongside traditional media, will also be discussed. Finally, in contrast to the traditional production methods in the field of fine arts and design, there are always new manifestations of digital art, which ultimately give not only the "trained" artist but also the layman far-reaching possibilities for artistic expression. And all this in the spirit of the performance artist Joseph Beuys , who postulated, every human being is capable of creativity, indeed "every human being is an artist".

The seminar will also discuss the question of how digital art can be described as "the" contemporary art, i.e. contemporary art in the age of digital technology. Furthermore, it is of great interest to what extent the perception of art per se has already changed and will continue to change in a digitalized society.

Literature folgt
Course L2479: Introduction to technology journalism: How research, development and solutions reach the public
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 15 Minuten je 3er Team
Lecturer Prof. Margarete Jarchow, Matthias Kowalski
Language DE
Cycle WiSe/SoSe
Content

The seminar imparts basic journalistic knowledge and skills to convey technical content to a broad public.
Technical topics are increasingly being taken up and discussed not only in specialist and special interest magazines, but also in the public media such as daily newspapers, television, radio and on the Internet.
The participants of the seminar receive skills that can enable them to actively contribute to such discussions.
Technology journalism is a comparatively young branch of professional journalism and includes reporting on topics from the areas of construction and housing, energy and the environment, transport and transportation, trade and industrial production, trade and services, as well as information and communication. The topics of climate and sustainability have recently been added. From these areas, journalistic topics for the final presentations are conceived, researched and implemented in small teams.
The seminar uses digital and analog communication channels in technology journalism. The handling of often very complex subjects and their understandable presentation is trained, the reporting is analyzed, the research is conceived, and typical forms of presentation and linguistic peculiarities are learned. The relationship to science, research and public relations also plays a role here. The seminar is rounded off by an overview of legal and ethical framework conditions.

Literature

Newman, Nic: Journalism, Media & Technology - Trends and predictions 2019, Reuters Institute/ University of Oxford Digital News Publications http://www.digitalnewsreport.org/publications/2019/journalism-media-technology-trends-predictions-2019/#executive-summary;
Schümchen, Andreas: Technikjournalismus (Riehe Praktischer Journalismus), 328 S., UVK-Verlag 2008

Course L1084: Engineering Education Research and Applications
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale Teilnahme an gegenseitiger Hospitation und umfassender Bericht, schriftliche Reflexionsaufgaben, mündliche Beiträge in Diskussionen
Lecturer Prof. Christian Kautz
Language DE
Cycle WiSe
Content
Learning scenarios, active learning methods
Methods, results and implications of engineering education research 
Conceptual understanding and misconceptions in introductory engineering courses
Research on learning behaviour, motivation, and beliefs     
Preparation of Tutorials for selected lecture courses
Problem-Based Learning
Learning styles in engineering education
Assessment

Literature
Ausgewählte Artikel aus Fachzeitschriften (überwiegend in englischer Sprache) werden an die Seminarteilnehmer verteilt.  
Weiterführende Literatur wird zum jeweiligen Thema angegeben.
Course L1994: Facts, Facts, Facts - Understanding and Applying Techniques of Journalism - in German
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Prof. Margarete Jarchow, Matthias Kowalski
Language DE
Cycle WiSe/SoSe
Content Regardless of whether it is via classic channels such as newspapers and magazines or radio and TV as well as via internet, social media or via communication in specialist circles: Today we encounter journalism in almost all forms of public and private communication. But what makes a story really important in this flood of content? How do we recognize relevance? How do we expose fake news? In this block seminar the principles of journalistic techniques are imparted by means of practical examples and editorial exercises. The participants also develop tools to detect and deactivate manipulation and fake news. Regular attendance and attendance at all block dates is required.
Literature
Course L2370: Facts, Facts, Facts - Understanding and Applying Techniques of Journalism - in English
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Prof. Margarete Jarchow, Matthias Kowalski
Language EN
Cycle WiSe/SoSe
Content

Regardless of whether it is via classic channels such as newspapers and magazines or radio and TV as well as via internet, social media or via communication in specialist circles: Today we encounter journalism in almost all forms of public and private communication. But what makes a story really important in this flood of content? How do we recognize relevance? How do we expose fake news? In this block seminar the principles of journalistic techniques are imparted by means of practical examples and editorial exercises. The participants also develop tools to detect and deactivate manipulation and fake news. Regular attendance and attendance at all block dates is required.

Literature folgt
Course L0970: Foreign Language Course
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 60 min
Lecturer Dagmar Richter
Language
Cycle WiSe/SoSe
Content

In the Field of the Nontechnical Complementary Courses students are able to chose foreign language courses. Therefore the Hamburger Volkshochschule offers a special language programm on TUHH campus for TUHH Students. It includes courses in english, chinese, french, japanese, portuguese, russia, swedish, spanisch and german as a foreign language. All lectures impart common language knowledge, english courses although english for technical purposes.

Literature Kursspezifische Literatur / selected bibliography depending on special lecture programm.
Course L1844: Stay cool in conflict. Nonviolent Communication by Marshall Rosenberg
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 2-3 Seiten bzw. 10-20 Minuten plus anschließende Besprechung
Lecturer Dr. Claudia Wunram
Language DE
Cycle WiSe/SoSe
Content

„Words can build bridges or create rafts“ - this is also true for the scientific and business world. For example, how do I react if I get attacked in a professional debate by an opponent or by a colleague in my team, or if a fight arises during the planning of a project? In a challenging situation, what will help me to communicate respectfully and with appreciation? How can I express criticism or irritation honestly, directly and without reproach? 

Nonviolent Communication is a concept developped by Marshall B. Rosenberg, Ph.D., intended to help create an appreciative attitude towards oneself and others, and to live by it. Nonviolent Communication opens paths to express oneself in a mindful and responsible way, so that a bridge can be built even in challenging situations of conflict. Effective and satisfactory cooperation is only possible with well functioning communication between all parties involved, otherwise things will become difficult and inefficient.

By working with their own examples and anticipating questions that might arise in their future professional lives, the students of Engineering Sciences will be able to reflect their own communicative behavior and learn ways of cooperation and conjoint solution finding. This course will impart the essential competencies of communication necesary for that.

Literature German:
  • Rosenberg, Marshall.  (2001) Gewaltfreie Kommunikation. Eine Sprache des Lebens. Junfermann
  • Rosenberg, Marshall B. und Seils, Gabriele. (15. Auflage 2012) Konflikte lösen durch Gewaltfreie Kommunikation. Ein Gespräch mit Gabriele Seils. Herder Taschenbuch
  • Larsson, Liv. (2013) 42 Schlüsselunterscheidungen in der GFK. Für ein tieferes Verständnis der Gewaltfreien Kommunikation. Junfermann
  • De Haen, Nayoma V. und Torsten Hardieß. (2015) 30 Minuten Gewaltfreie Kommunikation. Gabal
  • Connor, Jane M. und Killian, Dian, Drs. (2014) Verbindung herstellen - Trennendes überbrücken. Mit jedermann, jederzeit und überall eine gemeinsame Ebene finden. Praktische GFK für den Alltag. Junfermann
  • Dietz, Angela. (2015) Macht ohne Machtwort. Verantwortung übernehmen, Potenziale entfalten. Business Village
  • Miyashiro, Marie R. (2013) Der Faktor Empathie. Ein Wettbewerbsvorteil für Teams und Organisationen. Junfermann
  • Brüggemeier, Beate. (2010) Wertschätzende Kommunikation im Business. Wer sich öffnet, kommt weiter. Wie Sie die GFK im Berufsalltag nutzen. Junfermann
  • Heim, Vera und Lindemann, Gabriele. (2016) Beziehungskompetenz im Beruf. Brücken bauen mit Empathie und Gewaltfreier Kommunikation. Haufe Taschen Guide

English:

  • Rosenberg, Marshall B., Ph.D. (3rd Edition 2015) Nonviolent Communication: A Language of Life. Create your Life, your Relationships, and your World in Harmony with your Values. Puddledancer Press
  • Connor, Jane, Ph.D. and Killian, Dian, Ph.D. (2nd edition 2012) Connecting Across Differences: Finding Common Ground with Anyone, Anywhere, Anytime. Puddledancer Press
  • Miyashiro, Marie R. (2011) The Empathy Factor. Your Competitive Advantage for Personal, Team and Business Success. Puddledancer Press
  • Roele, Hugo and Rich-Tolsma, Matthew, Drs. (2015) The Book of Needs. A Structural Model for Listening. Kommunikasie.nl
  • Kashtan, Miki. (2014) Reweaving our Human Fabric. Working Together to Create a Nonviolent Future. Fearless Heart Publications


Course L2345: Theory, Research and Practice of University Teaching
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale Schriftliche Ausarbeitung (in mehreren Teilen) sowie eine Präsentation
Lecturer Prof. Christian Kautz, Jenny Alice Rohde
Language DE
Cycle WiSe/SoSe
Content

This course covers theory and practice of being a student teaching assistant in small-group instructional settings at TUHH.  As part of the seminar, the participants have the opportunity to reflect on their work, e. g. through mutual observation and discussion.

For prior knowledge / the event requirements:

This event requires basic first work / collaboration experiences in the academic work structures of a higher education institution, which Master's students have acquired as part of the qualification for the Bachelor's degree at a university.

These presumed work experiences include specific self-study experiences at a college.

These are picked up, reflected, expanded and further developed both theoretically and practically with regard to learning from and in groups and later guiding this learning process.

Furthermore, experiences with different types of learning / group types of higher education, which are part of a degree program acquired during the bachelor's program, are assumed, taken up, reflected on, expanded and further developed here in the master's program.

The course also requires basic knowledge of presenting scholarly work results obtained by Master's students with a Bachelor's degree.

In the course, this experience with and in representation in a group situation will be expanded and further developed in the direction of students' involvement with their own role as well as their design in face-to-face interaction as well as in group processes, learning and leadership situations, as masters graduates Graduate unlike bachelor graduates professionally stronger in a moderating role and with the guidance of humans because with the guidance in subject matters are demanded.

According to the later professional role, the work of the seminar promotes and enables graduate students significantly more than graduates' qualifications for independent work and learning, transferring what they have learned to new areas, contributing, involving discussion and contributing their own examples and interests.

Literature

Auszüge aus Fachliteratur zu oben genannten Themen werden in der Veranstaltung ausgegeben.

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.

Bosse, E. (2016). Herausforderungen und Unterstützung für gelingendes Studieren: Studienanforderungen

und Angebote für den Studieneinstieg. In I. van den Berk, K. Petersen, K. Schultes, &

K. Stolz (Hrsg.). Studierfähigkeit - theoretische Erkenntnisse, empirische Befunde und praktische

Perspektiven (Bd. 15). (S.129-169). Hamburg: Universität Hamburg.

Collins, D. & Holton, E. (2004). The effectiveness of managerial leadership development programs: A meta-analysis of studies from 1982 to 2001. Human resource development quarterly, 15(2),

217 - 248.

Danielsiek, H., Hubwieser, P., Krugel, J., Magenheim, J., Ohrndorf, L., Ossenschmidt, D., Schaper,

N. & Vahrenhold, J. (2017). Verbundprojekt KETTI: Kompetenzerwerb von Tutorinnen und Tutoren in der Informatik. In A. Hanft, F. Bischoff, B. Prang (Hrsg.), Working Paper Lehr-/Lernformen. Perspektiven aus der Begleitforschung zum Qualitätspakt Lehre. Abgerufen von KoBF:

Freeman, S., Eddy, SL., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H. & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematic.

Proceedings of the National Academy of Sciences 11(23), 8410-8415.

Glathe, A. (2017). Effekte von Tutorentraining und die Kompetenzentwicklung von MINTFachtutor*

innen in Lernunterstützungsfunktion. (Nicht veröffentlichte Dissertation). Technische

Universität Darmstadt, Deutschland.

Kirkpatrick, D. L. (1959). Techniques for Evaluation Training Program. Journal of the American Society

of Training Directors, 13, 21-26.

Hänze, M. Fischer, E. Schreiber, Biehler, R. & Hochmuth, R- (2013). Innovationen in der Hochschullehre:

empirische Überprüfung eines Studienprogramms zur Verbesserung von vorlesungsbegleitenden

Übungsgruppen in der Mathematik. Zeitschrift für Hochschulentwicklung, 8(4), 89-

103.

Kröpke, H. (2014). Who is who? Tutoring und Mentoring - der Versuch einer begrifflichen Schärfung.

In D. Lenzen & H. Fischer (Hrsg.), Tutoring und Mentoring unter besonderer Berücksichtigung

der Orientierungseinheit (Bd. 5). (21-29). Hamburg: Universitätskolleg-Schriften.

Kühlmann, T. (2007). Fragebögen. In J. Straub, A. Weidemann & D. Weidemann (Hrsg.), Handbuch

interkulturelle Kommunikation und Kompetenz (346-352). Stuttgart: Metzler.

Mayring, P. (2010). Qualitative Inhaltsanalyse. Grundlagen und Techniken (11. aktualisierte und überarbeitete

Auflage). Weinheim/Basel: Beltz.

Mummendey, H. D. (1981). Methoden und Probleme der Kontrolle sozialer Erwünschtheit (Social

Desirability). Zeitschrift für Differentielle und Diagnostische Psychologie, 2, 199-218.

Rohde, J. & Block, M. (2018). Welche Herausforderungen und Bewältigungsstrategien berichten

Tutor/innen der Ingenieurwissenschaften? Eine explorative Analyse von Reflexionsberichten. Vortrag

auf der 47. Tagung der Deutschen Gesellschaft für Hochschuldidaktik, Karlsruhe.

Heterogenität der Studierenden und Lösungsansätze von Tutor/-innen

Jenny Alice Rohde. Posterpräsentation auf der Tagung “Tutorielle Lehre und Heterogenität”. Technische Universität Darmstadt, 16.05.2019.Hochschuldidaktische Tutorenqualifizierung - Eine Basisqualifizierung des akademischen Nachwuchses und Chance für den Wandel der Lehr-/Lernkultur?

Jenny Alice Rohde & Caroline Thon-Gairola. Posterpräsentation auf der DGHD am 07.03.2019.Welches Lehrverhalten zeigen geschulte Tutor/innen? Eine explorative Analyse selbst- und fremdwahrnehmungsbasierter Reflexionsberichte

Jenny Alice Rohde & Nadine Stahlberg. In: die hochschulehre (2019).

Schneider, M. & Preckel, F. (2017). Variables associated with achievement in higher education: A

systematic review of meta-analyse. Psychological Bulletin, 143(6), 565-600.

Skylar Powell, K. & Yalcin, S. (2010). Managerial training effectiveness: A meta-analysis 1952-2002.

Personnel Review, 39(2), 227-241.

27 Welches Lehrverhalten zeigen geschulte Tutor/innen

d ie hochs chul l ehre 2019 www.hochschullehre.org

Stes, A., Min-Leliveld, M., Gijbels, D. & Van Petegem, P. (2010). The impact of instructional development

in higher education: The state-of-the-art of the research. Educational Research Review,

5(1), 25-49.

Stroebe, W. (2016). Why Good Teaching Evaluations May Reward Bad Teaching: On Grade Inflation

and Other Unintended Consequences of Student Evaluation. Perspectives on Psychological Science,

11(6), 800-816.

Technische Universität Hamburg (2018). Kennzahlen 2017. Hamburg: Technische Universität Hamburg.

[https://www.tuhh.de/tuhh/uni/informationen/kennzahlen.html]

Thumser-Dauth, K. (2008). Und was bringt das? Evaluation hochschuldidaktischer Weiterbildung.

In B. Berendt, H.-P. Voss & J. Wildt (Hrsg.), Neues Handbuch Hochschullehre. Lehren und Lernen

effizient gestalten. Kap. L 1.11 Hochschuldidaktische Aus- und Weiterbildung. Veranstaltungskonzepte

und -modelle. Berlin: Raabe. S. 1-10.

Wibbecke, G. (2015): Evaluation einer hochschuldidaktischen Weiterbildung an der Medizinischen

Fakultät Heidelberg. Dissertation. Ruprecht-Karls-Universität Heidelberg.

Willige, J., Woisch, A., Grützmacher, J. & Naumann, H. (2015a). Randauszählung Studienqualitätsmonitor

2014, Technische Universität Hamburg-Harburg, Online-Befragung Studierender im

Sommersemester 2014, DZHW - Deutsches Zentrum für Hochschul- und Wissenschaftsforschung.

Willige, J., Woisch, A., Grützmacher, J. & Naumann, H. (2015b). Randauszählung Studienqualitätsmonitor

2015, Technische Universität Hamburg-Harburg, Online-Befragung Studierender im

Sommersemester 2015, DZHW - Deutsches Zentrum für Hochschul- und Wissenschaftsforschung.

Winkler, M. (2018). Tutorielle Lehransätze im Vergleich. Die KOMPASS Begleitforschung. Vortrag

gehalten am 12.03.2018 auf dem Netzwerktreffen Tutorienarbeit an Hochschulen in Würzburg.

Zech, F. (1977). Grundkurs Mathematikdidaktik: theoretische und praktische Anleitungen für das

Lehren und Lernen im Fach Mathematik. Weinheim: Beltz.

Course L1509: Intercultural Communication
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Prof. Margarete Jarchow, Anna Katharina Bartel
Language EN
Cycle WiSe/SoSe
Content

As young professionals with technical background you may often tend to focus on communicating numbers and statistics in your presentations. However, facts are only one aspect of convincing others. Often, your personality, personal experience, cultural background and emotions are more important. You have to convince as a person in order to get your content across.

In this workshop you will learn how to increase and express your cultural competence. You will apply cultural knowledge and images in order to positively influence communicative situations. You will learn how to add character and interest to your talks, papers and publications by referring to your own and European Cultural background. You will find out the basics of communicating professionally and convincingly by showing personality and by referring to your own cultural knowledge. You will get hands-on experience both in preparing and in conducting such communicative situations. This course is not focussing on delivering new knowledge about European culture but helps you using existing knowledge or such that you can gain e.g. in other Humanities courses.

Content

  • How to enrich the personal character of your presentations by referring to European and your own culture.
  • How to properly arrange content and structure.
  • How to use PowerPoint for visualization (you will use computers in an NIT room).
  • How to be well-prepared and convincing when delivering your thoughts to your audience.
Literature

Literaturhinweise werden zu Beginn des Seminars bekanntgegeben.

Literature will be announced at the beginning of the seminar.

Course L2015: Intercultural Management - Theory and Awareness Training
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 15 Minuten Vortrag und dessen schriftliche Ausarbeitung (10 Seiten)
Lecturer Prof Jürgen Rothlauf
Language EN
Cycle WiSe/SoSe
Content

The subject of the course is the deepening of the intercultural dimension of international management in relation to fundamental challenges, the importance of culture in team work and leadership of large multinational companies. In addition, culture-awareness trainings are discussed and carried out.

Literature

Rothlauf, J (2014): A Global View on Intercultural Management - Challenges in a Globalized World, De Gruyter Oldenbourg Verlag, 360 p

Course L2851: Join Mini Challenges of the ECIU University
Typ Project-/problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale 90 Stunden Arbeitsaufwand
Lecturer Prof. Kerstin Kuchta
Language EN
Cycle WiSe/SoSe
Content

Join multidisciplinary and international teams at the ECIU University and solve mini challenges linked to the SDG11 - Sustainable cities and communities, provided by business and societal partners across Europe. Participation in mini challenges will allow you to make a real impact in the community, city, or region by solving real-time local, national, and global challenges with a new way of learning - the challenge-based learning.

General procedure of a challenge:

  1. The mini challenge is provided by a city, region or business stakeholder and is entered on the ECIU University Challenge platform (challenges.eciu.org).
  2. You register to the mini challenge you find relevant on the platform.
  3. An international and interdisciplinary team is formed from registered participants from all ECIU partner universities and a team facilitator from the host university is assigned.
  4. You work with the team on the mini challenge, engage, investigate, and propose non-technical solutions using the challenge-based learning methodology (https://eciu.tuhh.de/challenge-based-learning/).
  5. During the process, you can select relevant micro-modules from ECIU member universities that help you gain additional knowledge or skills that are relevant to solve the mini challenge.
  6. Finally, teams deliver their outputs - which may include services, products, research questions, start-ups and spin-offs.

By working in multi-disciplinary and/or international teams, you will build up inter-cultural competences and increase your network of expertise by developing problem-solving and team-work skills.

TUHH is major part of the ECIU University leading institution related to the Challenge-based learning. All ECIU challenges will constantly be updated at the challenge platform: challenges.eciu.org

“Mini challenges” are challenges in the ECIU University that are supposed to be done within 1-4 weeks. Focus is to define your actual challenge, find suitable solution(s) and to implement them. https://eciu.tuhh.de/cbl-in-more-detail/

This course is aimed at Master students from member universities of the ECIU network (www.eciu.org). The course requires an independent approach to work, the willingness to learn independently about new non-technical topics and research methods, and the motivation to learn and actively participate in an international/disciplinary team.

Literature

ECIU UNIVERSITY 2030, CONNECTS U FOR LIFE

https://www.eciu.org/news/eciu-university-2030-connects-u-for-life

TOWARDS A EUROPEAN MICRO-CREDENTIALS INITIATIVE

https://www.eciu.org/news/towards-a-european-micro-credentials-initiative

Course L2852: Join Nano Challenges of the ECIU University
Typ Project-/problem-based Learning
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale 30 Stunden Arbeitsaufwand
Lecturer Prof. Kerstin Kuchta
Language EN
Cycle WiSe/SoSe
Content

Join multidisciplinary and international teams at the ECIU University and solve nano challenges linked to the SDG11 - Sustainable cities and communities, provided by business and societal partners across Europe. Participation in nano challenges will allow you to make a real impact in the community, city, or region by solving real-time local, national, and global challenges with a new way of learning - the challenge-based learning.

General procedure of a challenge:

  1. The nano challenge is provided by a city, region or business stakeholder and is entered on the ECIU University Challenge platform (challenges.eciu.org).
  2. You register to the nano challenge you find relevant on the platform.
  3. An international and interdisciplinary team is formed from registered participants from all ECIU partner universities and a team facilitator from the host university is assigned.
  4. You work with the team on the nano challenge, engage, investigate, and propose non-technical solutions using the challenge-based learning methodology (https://eciu.tuhh.de/challenge-based-learning/).
  5. During the process, you can select relevant micro-modules from ECIU member universities that help you gain additional knowledge or skills that are relevant to solve the nano challenge.
  6. Finally, teams deliver their outputs - which may include services, products, research questions, start-ups and spin-offs.

By working in multi-disciplinary and/or international teams, you will build up inter-cultural competences and increase your network of expertise by developing problem-solving and team-work skills.

TUHH is major part of the ECIU University leading institution related to the Challenge-based learning. All ECIU challenges will constantly be updated at the challenge platform: challenges.eciu.org

“Nano challenges” are the smallest unit of challenges in the ECIU University and are supposed to be done within 1-2 days. Focus is to define your actual challenge, find suitable solution(s) and create ideas for further steps. https://eciu.tuhh.de/cbl-in-more-detail/

This course is aimed at Master students from member universities of the ECIU network (www.eciu.org). The course requires an independent approach to work, the willingness to learn independently about new non-technical topics and research methods, and the motivation to learn and actively participate in an international/disciplinary team.

Literature

ECIU UNIVERSITY 2030, CONNECTS U FOR LIFE

https://www.eciu.org/news/eciu-university-2030-connects-u-for-life

TOWARDS A EUROPEAN MICRO-CREDENTIALS INITIATIVE

https://www.eciu.org/news/towards-a-european-micro-credentials-initiative

Course L2853: Join Standard Challenges of the ECIU University
Typ Project-/problem-based Learning
Hrs/wk 6
CP 6
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Examination Form Fachtheoretisch-fachpraktische Arbeit
Examination duration and scale 180 Stunden Arbeitsaufwand
Lecturer Prof. Kerstin Kuchta
Language EN
Cycle WiSe/SoSe
Content

Join multidisciplinary and international teams at the ECIU University and solve standard challenges linked to the SDG11 - Sustainable cities and communities, provided by business and societal partners across Europe. Participation in standard challenges will allow you to make a real impact in the community, city, or region by solving real-time local, national, and global challenges with a new way of learning - the challenge-based learning.

General procedure of a challenge:

  1. The standard challenge is provided by a city, region or business stakeholder and is entered on the ECIU University Challenge platform (challenges.eciu.org).
  2. You register to the standard challenge you find relevant on the platform.
  3. An international and interdisciplinary team is formed from registered participants from all ECIU partner universities and a team facilitator from the host university is assigned.
  4. You work with the team on the standard challenge, engage, investigate, and propose non-technical solutions using the challenge-based learning methodology (https://eciu.tuhh.de/challenge-based-learning/).
  5. During the process, you can select relevant micro-modules from ECIU member universities that help you gain additional knowledge or skills that are relevant to solve the standard challenge.
  6. Finally, teams deliver their outputs - which may include services, products, research questions, start-ups and spin-offs.

By working in multi-disciplinary and/or international teams, you will build up inter-cultural competences and increase your network of expertise by developing problem-solving and team-work skills.

TUHH is major part of the ECIU University leading institution related to the Challenge-based learning. All ECIU challenges will constantly be updated at the challenge platform: challenges.eciu.org

“Standard challenges” are challenges in the ECIU University that are supposed to be done within 3-6 months. Focus is to define your actual challenge, find suitable solution(s) and to implement as well as evaluate and publish them. https://eciu.tuhh.de/cbl-in-more-detail/

This course is aimed at Master students from member universities of the ECIU network (www.eciu.org). The course requires an independent approach to work, the willingness to learn independently about new non-technical topics and research methods, and the motivation to learn and actively participate in an international/disciplinary team.

Literature

ECIU UNIVERSITY 2030, CONNECTS U FOR LIFE

https://www.eciu.org/news/eciu-university-2030-connects-u-for-life

TOWARDS A EUROPEAN MICRO-CREDENTIALS INITIATIVE

https://www.eciu.org/news/towards-a-european-micro-credentials-initiative

Course L2176: Culture of Communication - Theories and Methods of Successful Communication
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Anna Katharina Bartel
Language DE
Cycle WiSe/SoSe
Content

This course is for master students. In this seminar, we will explore different theories, models and methods from the fields of communication, psychology and cultural theory.

The participants will work on theoretical content and do group presentations. They will also use examples from their own experiences to apply models and methods in practical exercises.

The way we communicate shapes the way we experience our relationships, in the business world as well as in our private lives. We spend an overwhelming amount of time in group situations. This makes it worthwhile to explore how communication works within the group context and how, within these different groups, different cultures of communication develop. This particularly applies in highly specialized fields, such as engineering.

Our ability to flexibly and successfully move from one context to another helps us along in building successful careers and allows us to feel positive about our private lives.

However, this is not always simple. For example:

            If we are part of a context in which many conflicts arise

            If we have to switch between different contexts frequently

            Or if, on the one hand, complicated facts and data are our main focus but on the other hand, we have to communicate them to people who are not familiar with the subject. Maybe we even have to win their attention in order to help along our causes.

Oftentimes, this leads to misunderstandings. There also might be a lack of openness or willingness to embrace conflict. This might make it difficult for us to reach our goals. To be able to reflect on the way we communicate, to identify patterns of communication and the ability to actively build positive relationships through communication are useful skills to help overcome those obstacles..

Literature
  • Knoblauch, H. (1995). Kommunikationskultur: Die kommunikative Konstruktion kultureller Kontexte (Materiale Soziologie, Band 5). de Gruyter.
  • Geert Hofstede, Geert Jan Hofstede, Michael Minkov. (2010). Cultures and Organizations - Software Of The Mind:Intercultural Cooperation and Its Importance for Survival. McGraw-Hill Education.
  • Bay, Rolf H. (2006) Erfolgreiche Gespräche durch aktives Zuhören. Ehningen. Expert-Verlag.
  • Cohn, Ruth (1975). Von der Psychoanalyse zur Themenzentrierten Interaktion. Stuttgart. Klett - Cotta
  • Fengler, Jörg (1998) Feedback geben. Weinheim. Beltz.
  • Lumma, Klaus (2006). Die Teamfibel oder das Einmaleins der Team- & Gruppenqualifizierung im sozialen und betrieblichen Bereich. Windmühle.
  • Spies, Stefan. (2010). Der  Gedanke lenkt den Körper: Körpersprache - Erfolgsstrathegien eines Regisseurs. Hoffmann und Campe.
Course L2369: Literature and Culture for international students of Master's degree programs in English (non-native speakers of German)
Typ Seminar
Hrs/wk 4
CP 4
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Examination Form Referat
Examination duration and scale 45 min. Präsentation und anschließende Diskussion
Lecturer Bertrand Schütz
Language DE
Cycle WiSe/SoSe
Content

The seminar LITERATURE AND CULTURE investigates what culture is, especially what characterises epistemic cultures.

Culture is to be understood as the creative response to a given situation and the capacity to integrate inputs and influences, therefore as an ongoing process of permanent readjustment and learning, and by no means as a fixed identity in terms of an “essence”.

There is a growing awareness that Europe cannot lay claim to possess the ultimate standards of knowledge.

A topography of our contemporary world is to be sketched by highlighting its historical and cultural premises.

For more information please refer to the German description and the StudIP.

Literature

Je nach Thematik des Semesters wird eine spezifische
Literatur-Liste erstellt.

cf. StudIP

Course L2029: Lying press”? Functions and current challenges of journalism
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 20 min
Lecturer Prof. Horst Pöttker
Language DE
Cycle WiSe/SoSe
Content

Lying press - there is a revival of the disparaging invective. Journalists use to shoot it down by leading it back to its supposed roots in the NS-propaganda. This is less convincing as several parties and ideologies have used it since the middle of the 19th century to discredit the media of other parties and ideologies. And it is missing the core of the problem. Critics are reasonably afraid that the choice of “lying press” to the “non-word of the year” 2014 has blocked the question, if there is a justified criticism of information media and journalism - or more precisely of the relationship between journalism and its audience. If this is the case both - journalism and audience - are involved from the perspective of inter actionism.    

Against this background interactive instructions will be given by scholarly literature and practical examples from the German and international media business.

Questions like the following will be discussed:

  • Is journalism really a profession? If so - since when?
  • What is journalism for? (task and duties, functions, self-images)
  • Do the audience and journalists themselves have a reasonable understanding of tasks, functions, practices, problems of journalism?
  • What is the current concept of journalistic professionalism? Has it ever been the same?
  • From an international perspective: Does journalism in Germany have special shortcomings - if so, how can they be removed?
  • What are the economic challenges for journalism from the digital media upheaval?
  • In which direction do journalistic professionalism and self-understanding change in the digital media world?

Objective is solid learning about professional tasks, ethics, techniques, endagerments, history and current problems of journalism including science journalism.


Literature

Zur Einführung:
Lilienthal, Volker/Neverla, Irene (Hrsg.) (2017): „Lügenpresse“. Anatomie eines politischen Kampfbegriffs. Köln: Kiepenheuer & Witsch. https://www.kiwi-verlag.de/buch/luegenpresse/978-3-462-31782-4/
Pöttker, Horst (2010): Der Beruf zur Öffentlichkeit. Über Aufgabe, Grundsätze und Perspektiven des Journalismus in der Mediengesellschaft aus der Sicht praktischer Vernunft. In: Publizistik, 55. Jg., H. 2, S. 107-128. https://www.springerprofessional.de/en/der-beruf-zur-oeffentlichkeit/5889108
Weischenberg, S. (2007): Das Jahrhundert des Journalismus ist vorbei. Rekonstruktionen und Prognosen zur Formation gesellschaftlicher Selbstbeobachtung. In: Bartelt-Kircher, G. et al.: Krise der Printmedien - eine Krise des Journalismus? Berlin und New York, de Gruyter Saur, S. 32-60.
https://medien21.wordpress.com/2011/10/17/weischenberg-das-jahrhundert-des-journalismus-ist-vorbei/
Eine ausführliche Literaturliste wird am Anfang des Seminars verteilt.


Weischenberg, S. (2010): Das Jahrhundert des Journalismus ist vorbei. Rekonstruktionen und Prognosen zur Formation gesellschaftlicher Selbstbeobachtung. In: Bartelt-Kircher, Gabriele u.a.: Krise der Printmedien - eine Krise des Journalismus? Berlin und New York: de Gruyter Saur, S. 32-60.

Eine ausführliche Literaturliste wird am Anfang des Seminars verteilt. 

Course L1846: Classical Journalism and New Media
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale Ca. 20 min. plus anschließende Diskussion
Lecturer Dieter Bednarz
Language DE
Cycle WiSe/SoSe
Content

The world wide walkover of the internet dramatically changed the perception of classical media like newspapers, magazines and even TV. In this seminar the reasons of and the consequences for the dramatic changes regarding our information habits will be analyzed and discussed. Has the media expert Neil Postman been right, when he one said, that we all one day will be „overnewsed but underinformed“?

Keeping a close eye on the real challenges of journalism, the seminar will discuss the standards of ethics in politics and media.


Literature

Wird im Seminar genannt

Course L1023: Politics
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dr. Stephan Albrecht
Language EN
Cycle WiSe/SoSe
Content

Scientists and engineers neither just strive for truths and scientific laws, nor are they working in a space far from politics.  Science and engineering have contributed to what we now call the Anthropocene, the first time in the history of mankind when essential cycles of the earth system, e.g. carbon cycle, climate system, are heavily influenced or even shattered. Furthermore, Peak oil is indicating the end of cheap fossil energy thus triggering the search for alternatives such as biomass.

Systems of knowledge, science and technology in the OECD countries have since roughly 30 years increasingly become divided. On the one hand new technologies such as modern biotechnology, IT or nanotechnology are developing rapidly, bringing about many innovations for industry, agriculture, and consumers. On the other hand scientific studies from earth, environmental, climate change, agricultural and social sciences deliver increasingly robust evidence on more or less severe impacts on society, environment, global equity, and economy resulting from innovations during the last 50 years. Technological innovation thus is no longer an uncontested concept. And many protest movements demonstrate that the introduction of new or the enlargement of existing technologies (e.g. airports, railway stations, highways, high-voltage power lines surveillance) isn’t at all a matter of course.

It is important to bear in mind the fact that all processes of technological innovation are made by humans, individually and collectively. Industrial, social, and political organizations as actors from the local to global level of communication, deliberation, and decision making interact in diverse arenas, struggling to promote their respective corporate and/or political agenda. So innovations are as well a problem of technology as a problem of politics. Innovation and technology policies aren’t the same in all countries. We can observe conceptual and practical variations.

Since the 1992 Earth Summit in Rio de Janeiro Agenda 21 constitutes a normative umbrella, indicating Sustainable Development (SD) as core cluster of earth politics on all levels from local to global. Meanwhile other documents such as the Millennium Development Goals (MDG) have complemented the SD agenda. SD can be interpreted as operationalization of the Universal Declaration of Human Rights, adopted in 1948 by the General Assembly of the United Nations and since amended many times. 

Engineers and scientists as professionals can’t avoid to become confronted with many non-technical and non-disciplinary items, challenges, and dilemmas. So they have to choose between alternative options for action, as individuals and as members of organizations or employees. Therefore the seminar will address core elements of the complex interrelations between science, society and politics. Reflections on experiences of participants - e.g. from other countries as Germany - during the seminar are very welcome.

The goals of the seminar include:

  • Raising awareness and increasing knowledge about the political implications of scientific work and institutions;
  • Improving the understanding of different concepts and designs of innovation and technology policies;
  • Increasing knowledge about the status and perspectives of sustainable development as framework concept for technological and scientific progress;
  • Understanding core elements of recent arguments, conflicts, and crises on technological innovations, e.g. geo-engineering or bio-economy;
  • Improving the understanding of scientists’ responsibility for impacts of their professional activities;
  • Embedding individual professional responsibility in social and political contexts.

The seminar will deal with current problems from areas such as innovation policy, energy, food systems, and raw materials. Issues will include the future of energy, food security and electronics. Historical issues will also be addressed.

The seminar will start with a profound overarching introduction. Issues will be introduced by a short presentation and a Q & A session, followed by group work on selected problems. All participants will have to prepare a presentation during the weekend seminar. The seminar will use inter alia interactive tools of teaching such as focus groups, simulations and presentations by students. Regular and active participation is required at all stages.


Literature Literatur wird zu Beginn des Seminars abgesprochen.
Course L1856: Politics and Science - in German
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale Referat ca. 20 min. plus anschließende Diskussion
Lecturer Dr. Mirko Himmel, Dr. Ines Krohn-Molt
Language DE
Cycle WiSe/SoSe
Content

Scientists often like to believe that their work is non-political. Within this seminar we want to demonstrate how deeply both are interconnected and converged. Not only, scientific guidance is often needed to take a political decision but also scientific outcomes are a sub-ject to political interpretation. Also, politics are significantly influencing scientific progress by framing research agendas and by funding decisions.

Literature

Wird im Seminar genannt

Course L1779: Politics and Science - in English
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dr. Frederik Postelt, Dr. Gunnar Jeremias
Language EN
Cycle WiSe/SoSe
Content

Scientists often like to believe that their work is non-political. Within this seminar we want to demonstrate how deeply both are interconnected and converged. Not only, scientific guidance is often needed to take a political decision but also scientific outcomes are a sub-ject to political interpretation. Also, politics are significantly influencing scientific progress by framing research agendas and by funding decisions.

During this seminar we would like to show the different range of influences - scientific, economic, social, environmental, ethical/normative, security-related - affecting decision-making on science and politics. Using case studies on current debates on food security, public health, nuclear energy and terrorism to discuss the interrelation between science and politics illuminating the role of various actors in this process, such as:

• Governments,

• International organizations,

• Scientific associations,

• Industry,

• Civil society, and

• Individual scientists.

The guiding questions will be:

• How does and should science influence politics?

• How does and should politics influence science?

In order to take responsibility for the consequences of scientific work, engineers and scientists increasingly need to acknowledge the political dimension of their work and their role in the political process. We will address this political dimension of scientific work by discussing:

• Biographies and motivations of famous scientists,

• Individual responsibility of scientists for the implications of their work, and

• The role of codes of conduct as guidelines for responsible behaviour.

The goals of the seminar include:

• Raising awareness and increasing knowledge about the political dimensions of scientific work,

• Providing guidelines for evaluating political implications of scientific research,

• Improving the understanding of scientists’ and engineers’ responsibility for the results of their professional activities,

• Taking decisions at the institutional, national and international level about rules and regulations concerning scientific conduct, and

• Choosing arguments and defending positions in situations of conflicting interests.

The seminar will use current issues, such as dilemmas in the life sciences or bio fuels to demonstrate the problematic relationship between science and politics. The seminar, however, does not focus on providing in-depth knowledge of these current issues. We strongly discourage students that have participated in an “Ethics for Engineers” seminar to take this course, because the contents of the two seminars overlap.

Issues will be introduced by short presentations and a Q&A session, followed by group work on selected problems. All participants will have to prepare a presentation. Those requiring a graded certificate (“Schein”) additionally have to write a 3-4 page paper on selected issues. The seminar will use interactive tools of teaching such as role playing and simulations. Group work and active participation is expected at all stages of the seminar.

Literature

will be announced in lecture

wird im Seminar bekannt gegeben

Course L1734: Projectrealisation: TUHH goes circular - Sustainability in Research, Education and campus management
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale
Lecturer Prof. Kerstin Kuchta
Language EN
Cycle WiSe/SoSe
Content

Description

The group project: TUHH goes Circular addresses environmental challenges and engages with science communication as an instrument of sustainable solution strategies. Due to the Covid-19-pandemic especially digital communication has gained importance - and this shall be adopted in the digital summer semester of 2021. The students are being introduced to the importance of high-quality science communication for ecologically and socially sustainable development. In a practical group task, the students are gaining experience with traditional and popular formats. Topics are to be chosen matching the general scope of environmental challenges, i.e. the challenges of rising resource consumption and waste production.

Competences

  • The students learn about: the role of scientific communication in sustainability research, traditional and popular formats and suitability for different audiences
  • The students gain experience with presenting scientific insights in traditional and popular formats
  • The students gain experience with visualisation, storytelling and digital tools i.e. audio and video editing
  • The students organise autonomously as groups and work in a targeted manner
  • The students present their chosen topics of interest in two different formats


Literature

Wird im Seminar bekannt gegeben

Will be announced in lecture.

Course L2649: Brave New World? Technology, Society and Digitalitization in Cinematic Dystopias
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 45 Minuten
Lecturer Dr. Marlis Bussacker
Language DE
Cycle WiSe/SoSe
Content

Desolate landscapes, destruction, violence - these are usually our first associations when we think of dystopias. But it is not that obvious. At first we often see an almost utopian-looking world without disease, without hunger, without poverty, in which many of our current problems have been solved. But the idyll is illusory and has its price.

What does this price look like? The seminar will focus on films in which technical progress and the development of artificial intelligence have opened up almost unlimited possibilities for people - to improve their living conditions, but also to gain complete control over them.

Who carries out this control? Is an individual life still possible? What about democratic structures? Do these films show us our future? How much freedom do we want to give up for a life that seems safe and carefree at first sight? And: Why are there no more social utopias? These questions, among others, will be focused in the discussion.

Literature

Wird im Seminar bekannt gegeben.

Course L1872: Social Learning: Social Commitment in Refugee Issues / Master
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 10 Seiten
Lecturer Muthana Al-Temimi
Language DE
Cycle WiSe/SoSe
Content

This seminar is intended to enable and promote social engagement for refugees and migrants and the social learning that goes along with it.

The term "social commitment for refugees" means active cooperation and participation in projects, initiatives or organizations that aim at supporting refugees/migrants in Germany. The recognition of activities within the framework of projects, initiatives or organizations with anti-democratic objectives is excluded.

The goal is "social learning within the framework of social commitment": On the one hand, this includes the acquisition or deepening of competencies on the part of the students through their commitment in the above-mentioned area; on the other hand, it includes the support/promotion/learning of the refugees/migrants through the competencies of the students.

In this course, students independently look for social projects in the above-mentioned sense and commit themselves for at least 50 hours. Previous social commitment in the above-mentioned area can be taken into account.

In this course, students engage in social projects for at least 50h. Previous social commitment in this field can be taken into account. In addition, participants will have the opportunity to exchange information with other students from the Social Learning seminars on their voluntary activities.

The participants will be closely accompanied and advised by the course instructor, especially in the search and selection of a suitable activity. Compulsory 20h of present teaching including consultation enable the students to reflect on the learning situation on site as well as their own competences in a reflection work / written elaboration

Obligatory 10 h of presence teaching including consulting time enable students to reflect the learning situation on site and their own competence in a structured and successful way, either accompanying or following their involvement in a reflection work / written elaboration  to be able to identify and evaluate their own learning process.

In addition, the participants are given the opportunity to specifically exchange information with other students from the Master's programs about their social activities.

Literature

Wird im Seminar bekannt gegeben.

Will be announced in lecture.

Course L2485: Social Learning: Social Engagement for Sustainability - M.Sc.
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 10 Seiten + mündliche Präsentation
Lecturer Tatjana Grimm
Language DE
Cycle WiSe/SoSe
Content

This seminar is intended promote social engagement in the field of ecological, economic and social sustainability and the accompanying social learning. "Social Engagement for Sustainability" means active cooperation and participation in projects, initiatives or organisations which aim to preserve or improve living conditions and environment for present and future generations, e.g. conservation of resources, nature protection or strengthening fair trade. Activities in projects, initiatives or organisations with anti-democratic objectives and in political parties are not accepted. In this course, students are volunteering in social projects for at least 32 hours. Previous social engagement in this field can be considered. In addition, participants are given the opportunity to exchange information with other students from the Social Learning seminars on their voluntary service. The participants will be closely accompanied and advised by the instructor, especially during the search and selection of a suitable activity. Obligatory 28 hours of presence teaching including counselling time enable students to critically reflect on their commitment. The focus is on the effects in society.

Literature -
Course L2480: Social Learning: Social commitment to preservation of historical cultural assets - MSc
Typ Seminar
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Examination Form Schriftliche Ausarbeitung
Examination duration and scale 10 Seiten + mündliche Präsentation
Lecturer Tatjana Grimm
Language DE
Cycle WiSe
Content

This seminar is intended to promote social engagement in the field of natural- and technical history and the associated social learning.

"Social commitment to preservation of historical cultural assets" means the active participation in projects, initiatives or organizations whose aim is to preserve natural-, social- and technological historical cultural assets. Possible contacts are natural history- and technology museums as well as monument protection foundations, which look after historic buildings, ships and port facilities or underground buildings. Activities in projects, initiatives or organisations with anti-democratic objectives and in political parties are not accepted.

In this course, students engage in social projects for at least 42h. Previous social commitment in this field can be taken into account. In addition, participants will have the opportunity to exchange information with other students from the Social Learning seminars on their voluntary activities.

The participants will be closely accompanied and advised by the course instructor, especially in the search and selection of a suitable activity. Compulsory 18h of present teaching including consultation enable the students to reflect on the learning situation on site as well as their own competences in a reflection work / written elaboration.

Literature -
Course L2849: Technology Assessment (TA) and Technology Genesis Research
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Schriftliche Ausarbeitung
Examination duration and scale Schriftliche Hausarbeit 7-10 Textseiten; verpflichtend: Präsentation der Zwischenergebnisse mit Diskussion (geht nicht in die Bewertung mit ein)
Lecturer Dr. Martin Schütz
Language DE
Cycle WiSe/SoSe
Content

Can we predict technical development and its multi-dimensional consequences? Can we assess if they are desirable or not? Genetic
engineering e.g. prove one-self to be a dilemma. -
Technique as social process: On development of technical artefacts. The ‘Leitbild-Konzept’ (model-concept) and its critique in Technology
Genesis Research.

Literature

− Bell, Daniel (1994): Technology and Society in a Post-industrial Age. In: Hans-Ulrich
Derlien (Hg.): Systemrationalität und Partialinteresse. Festschrift für Renate
Mayntz. Unter Mitarbeit von Renate Mayntz. Baden-Baden: Nomos, S. 491-511.
− Bogner, Alexander; Decker, Michael; Sotoudeh, Mahshid (Hg.) (2015): Responsible
Innovation. Neue Impulse für die Technikfolgenabschätzung? Baden-Baden:
edition sigma .
− Buhr, Regina; Buchholz, Boris (1999): Mit QWERTY ins 21. Jahrhundert? Die
Tastatur im Spannungsfeld zwischen Technikherstellung, Anwendung und
Geschlechterverhältnis. In: Ritter 1999:172-185.
− Conrad, Jobst (1994): AKW revisited - 50 Jahre danach. Substantielle und
prozedurale Effekte von Technikfolgenabschätzung. In: Johannes Weyer (Hg.):
Theorien und Praktiken der Technikfolgenabschätzung. München: Profil .
− Degele, Nina (2002): Einführung in die Techniksoziologie. München: Fink.
− Döring, Hans-Walter (1988): Technik und Ethik. Die sozialphilosophische und
politische Diskussion um die Gentechnologie. Frankfurt/Main: Campus-Verl.
− Grunwald, Armin (2010): Technikfolgenabschätzung. Eine Einführung. 2. Auflage.
Berlin: edition sigma.
− Häußling, Roger (2010): Stichwort: Techniksoziologie. In: Georg Kneer und Markus
Schroer (Hg.): Handbuch Spezielle Soziologien. Wiesbaden: VS Verlag für
Sozialwissenschaften, S. 623-643.
− Häußling, Roger (2014): Techniksoziologie. Baden-Baden: Nomos .
− Lengersdorf, Diana; Wieser, Matthias (Hg.) (2014): Schlüsselwerke der Science &
Technology Studies. Wiesbaden: Springer VS.
− Ogburn, William Fielding (1969): Kultur und sozialer Wandel. Ausgewählte
Schriften. Neuwied: Luchterhand (Soziologische Texte, 56).
− Passoth, Jan-Hendrik (2008): Technik und Gesellschaft. Wiesbaden: VS Verlag für
Sozialwissenschaften
− Rammert, Werner (2016): Technik - Handeln - Wissen. Zu einer pragmatistischen
Technik- und Sozialtheorie. 2., aktualisierte Auflage 2016. Wiesbaden: Springer VS.
− Ritter, Martina (Hg.) (1999): Bits und Bytes vom Apfel der Erkenntnis. Frauen,
Technik, Männer. Münster: Verl. Westfälisches Dampfboot .
− Schulz-Schaeffer, Ingo (2000): Sozialtheorie der Technik. Frankfurt/Main: Campus
Verl.
− Schulz-Schaeffer, Ingo (2008): Stichwort: Technik. In: Nina Baur, Hermann Korte,
Schütz
SCHÜTZ Techniksoziologie Lehrkonzept Schütz SoSe 2018 TFA.docx D. _ Richter S8 Seite 3 von 2
Martina Löw und Markus Schroer (Hg.): Handbuch Soziologie. Wiesbaden: VS
Verlag für Sozialwissenschaften, S. 445-463.
− Weyer, Johannes (2008): Techniksoziologie. Genese, Gestaltung und Steuerung
sozio-technischer Systeme. Weinheim: Juventa

Course L1771: The Arabic Spring an its Consequences
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dieter Bednarz
Language DE
Cycle WiSe/SoSe
Content

The world wide walkover of the internet dramatically changed the perception of classical media like newspapers, magazines and even TV. In this seminar the reasons of and the consequences for the dramatic changes regarding our information habits will be analyzed and discussed:

Taking a close look at the Middle East the political impact of the new media´s triumphal procession will be assessed and evaluated. How come that Twitter and Facebook on one hand facilitated the so called Arabic  Spring and caused hope for the rise of democracy in the region, while on the other hand the revolutionaries failed so dramatically - at least for now.

Keeping a close  eye on both fields, the Media and the Middle East, the seminar will discuss the standards of ethics in politics and journalism.

Literature

Wird im Seminar angegeben und besprochen.

Will be announced in the lecture.

Course L1916: Responsible Conduct in Technology & Science
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dr. Mirko Himmel, Dr. Ines Krohn-Molt
Language DE
Cycle WiSe/SoSe
Content

Aim of the seminar is raising awareness for the responsibility of engineers and researchers for a proper and ethical conduct in technology and science. The Participants will present and discuss practical examples for good as well as bad conduct in science.


Literature folgt im Seminar
Course L1991: What can philosophy do?
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dr. Ursula Töller
Language DE
Cycle WiSe/SoSe
Content

Over the centuries, the philosophy is lined up as a discipline that provides complex and universal answers to contemporary history and circumstances. Often, she could design utopias that have led the way for political upheaval. While all scientific disciplines are subject to an increasing differentiation, the philosophy in the second half of the 20th century has lost its claim to universality. But what then are the topics of the philosophy of the 20th and 21st century and what impact have philosophical theories for processes of change?

We will provide an overview of Western philosophies of the 20th and 21st century. and take a critical look at the self-understanding of philosophy.

Literature

Gerhardt Schweppenhäuser: Kritische Theorie, Stuttgart 2010

Postmoderne und Dekonstruktion, Texte französischer Philosophen der Gegenwart, hrsg. von Peter Engelmann, Reclam UB 8668

Thomas Rentsch: Philosophie des 20. Jhdts. Von Husserl bis Derrida, München 2014

Geschichte der Philosophie in Text und Darstellung, Bd. 8=20 Jhdt.

Reclam UB 9918

Geschichte der Philosophie in Text und Darstellung, Bd. 9= Gegenwart

Reclam UB 18267

Course L0528: Economic Sociology
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale 20-30 Minuten Referat und Thesenpapier
Lecturer Dr. Michael Florian
Language DE
Cycle WiSe
Content

Economic sociology means the application of sociological theories, methods, and perspectives in the analysis of economic issues. The seminar is concerned with new developments in economic sociology. Using case studies, the course will offer insights into the strengths and weaknesses of different sociological approaches.

Literature

Baecker, Dirk: Wirtschaftssoziologie. Transcript: Bielefeld, 2006.
Bourdieu, Pierre et al.: Der Einzige und sein Eigenheim. Erweiterte Neuausgabe. Hamburg: VSA, 2002.
Beckert, Jens: Was ist soziologisch an der Wirtschaftssoziologie? Ungewißheit und die Einbettung wirtschaftlichen Handelns. In: Zeitschrift für Soziologie 25, 1996, S. 125-146.
Beckert, Jens: Grenzen des Marktes. Die sozialen Grundlagen wirtschaftlicher Effizienz. Campus: Frankfurt/New York, 1997
Beckert, Jens; Diaz-Bone, Rainer; Ganßmann, Heiner (Hg.) (2007): Märkte als soziale Strukturen. Frankfurt am Main/New York: Campus-Verlag.
Beckert, Jens; Deutschmann, Christoph (Hg.) (2010): Wirtschaftssoziologie. Sonderheft 49 der Kölner Zeitschrift für Soziologie und Sozialpsychologie: Wiesbaden: VS Verlag für Sozialwissenschaften.
Fligstein, Neil (2011): Die Architektur der Märkte. Wiesbaden: VS Verlag für Sozialwissenschaften.
Florian, Michael; Hillebrandt, Frank (Hg.): Pierre Bourdieu: Neue Perspektiven für die Soziologie der Wirtschaft. VS Verlag für Sozialwissenschaften: Wiesbaden, 2006.
Granovetter, Mark: Ökonomisches Handeln und soziale Struktur: Das Problem der Einbettung. In: Hans-Peter Müller und Steffen Sigmund (Hrsg.): Zeitgenössische amerikanische Soziologie. Leske + Budrich, Opladen 2000, S. 175-207.
Heinemann, Klaus (Hg.): Soziologie wirtschaftlichen Handelns. Sonderheft 28 der Kölner Zeitschrift für Soziologie und Sozialpsychologie. Opladen: Westdeutscher Verlag, 1987
Hirsch-Kreinsen, Hartmut: Wirtschafts- und Industriesoziologie. Grundlagen, Fragestellungen, Themenbereiche. Weinheim/München: Juventa, 2005.
Smelser, Neil J.; Swedberg, Richard (HG.): The Handbook of Economic Sociology. 2nd edition. Princeton/Oxford: Princeton University Press and New York: Russell Sage Foundation: New York, 2005.

Course L2343: Academic Writing and Presentation for Master-Students
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Referat
Examination duration and scale etwa 20 Minuten Präsentation und 10-20 Minuten Diskussion
Lecturer Dr. Sigrid Vierck
Language DE/EN
Cycle WiSe/SoSe
Content

The course is aimed at Master students who are planning to write their thesis, want to pursue their PhD or intend to present their research results at conferences and in journals. The course is structured on different levels: 1. searching, 2. presenting with words, slides and pictures and 3. practical appliance. The course refers to the work environment at university as well as in research groups and enterprises. In the course of the seminar, the participants become acquainted with various methods and theories on the subject. Furthermore, the methods and theories will be put into practice, reflected upon and discussed as part of the seminar.

Literature


Ascheron, Klaus: Die Kunst des wissenschaftlichen Präsentierens und Publizierens. Ein Praxisleitfaden für junge Wissenschaftler. München 2007.

Der Autor, Naturwissenschaftler, erklärt aufgrund seiner langjährigen und internationalen Erfahrung worauf es beim wissenschaftlichen Präsentieren (und Schreiben) ankommt. Aus seinem ganzheitlichen Ansatz heraus gibt er klare und hilfreiche Tipps für ein erfolgreiches und korrektes Darstellen im wissenschaftlichen Kontext.

Eufinger, Günther: Dokumente perfekt gestalten. München 2007.

Der Autor geht in dem kompakten Band auf die Schlüsselkompetenzen für erfolgreiches Präsentieren ein, die er aufgrund langjähriger praktischer Erfahrungen definiert. Darunter wird die Power-Point-Präsentation eingehend behandelt, wobei das in den weiteren Kapiteln dargestellte Basiswissen auch für PPP anzuwenden ist.

Feuerbacher, Bernd: Professionell Präsentieren in den Natur- und Ingenieurwissenschaften. Weinheim 2009.

Ansprechender, klar strukturierter Band, der auf die Unterschiede zwischen mündlichem Vortrag und schriftlichen Ausdruck eingeht sowie zusätzlich den Schwerpunkt auf die Power-Point-Präsentation legt. Wie im Titel angegeben zwar mit Betonung der Natur- und Ingenieurwissenschaften, aber in der Beschreibung rhetorischen Auftretens allgemeingültig formuliert.

Hug, Theo (Hrsg.): Wie kommt Wissenschaft zu Wissen, Band 1: Einführung in das wissenschaftliche Arbeiten. Hohengehren 2001.

Weitreichende Einführung, die bereits in den späteren Praxisbereich übergreift. Intensive Behandlung der internetbezogenen Arbeit.

Kremer, Bruno P.: Vom Referat bis zur Abschlussarbeit. Naturwissenschaftliche Texte perfekt produzieren, präsentieren und publizieren. 5. Aufl. 2018. Berlin, Heidelberg (Imprint: Springer Spektrum).

Der Autor schreibt mit langjähriger Erfahrung. Der Band, wie im Titel formuliert auf die Naturwissenschaften zugeschnitten, informiert umfassend, ist sehr gut gegliedert und verständlich geschrieben, sozusagen eine Werkstattanleitung, praxisnah und ermunternd.

Prexl, Lydia: Mit digitalen Quellen arbeiten: richtig zitieren aus Datenbanken, E-Books, YouTube & Co. 3., aktualisierte und überarbeitete Auflage, Paderborn, Stuttgart 2019 (UTB) https://elibrary.utb.de/doi/book/10.36198/9783838550725 (Lizenzpflichtig)

Die Autorin schildert in kleinen Schritten das wissenschaftliche Arbeiten mit Betonung des digitalen Anteils wie E-Books, E-Journals, Social-Media-Einträgen, Datenbanken und anderen elektronische Quellen. Vor allem bei der Frage nach der Verwendbarkeit und Zitierfähigkeit gibt dieser Ratgeber Lösungen ebenso wie zur Vermeidung von Plagiaten, sowie der bibliographischen Angabe, auch bei Unvollständigkeit.

Pöhm, Matthias: Präsentieren Sie noch oder faszinieren Sie schon? Der Irrtum PowerPoint. 6. Aufl. Heidelberg 2009.

Als Coach und Moderator bietet der Autor Tipps zur erfolgreichen Präsentation, die - wie er provokant im Titel formuliert - ohne PowerPoint auskommen soll, denn er setzt auf die Emotion als Kommunikationsmittel. Damit wird deutlich, dass er sich mehr im verkaufsorientierten als im wissenschaftlichen Bereich ansiedelt.

Pukas, Dietrich: Lernmanagement. Einführung in Lern- und Arbeitstechniken. 3. aktual. Aufl. Rinteln 2008.

Übersichtliches und umfassendes Kompendium zu den zahlreichen Fragen des Lernens und wissenschaftlichen Arbeitens. Zunächst wirtschaftswissenschaftlich orientiert, was auch durch die Struktur sowie die Tabellen und Diagramme deutlich wird, hat der Band durchaus allgemeine Gültigkeit. Darüber hinaus werden praxisorientierte Hinweise gegeben.

Reynolds, Garr: Zen oder die Kunst der Präsentation. München u.a. 2010.

Der Autor kommt aus dem Designbereich und bietet somit Stilmittel zur Gestaltung der PPP an. Wie im Titel angedeutet sind für ihn die Mittel der Konzentration auf das Wesentliche, der Ruhe und Einfachheit von entscheidender Bedeutung.

Rost, Friedrich: Lern- und Arbeitstechniken für das Studium. 8., überarb. u. aktual. Aufl. Wiesbaden 2018.

Ausführliche Vermittlung von Arbeitstechniken der Stoffermittlung, der Stoffverarbeitung, der Stoffsammlung, des informativen Schreibens, des Sprechens und Redens mit Berücksichtigung der computergestützten Arbeit und einem Anhang zu Ausdruck und Grammatik der deutschen Sprache.

Sesink, Werner: Einführung in das wissenschaftliche Arbeiten: inklusive E-Learning, Web-Recherche, digitale Präsentation u.a. 9., vollständ. überarb. u. aktual. Aufl. München 2014.

Arbeitshilfe mit Betonung auf der Computer-Verwendung. Erklärung des wissenschaftlichen Arbeitens und der Vorarbeiten wie Literatursuche und persönlicher Materialsammlung. Beschreibung des Abfassens einer schriftlichen Arbeit, auch Protokoll, Thesenpapier und Klausur. Ausführliche Behandlung der computergestützten Arbeit, vor allem auch des Textformatierens und der Textverarbeitung in der Studienpraxis.

Spoun, Sascha und Dominik B. Domnik: Erfolgreich studieren. Ein Handbuch für Wirtschafts- und Sozialwissenschaftler. München u.a. 2005.

Pearson-Studium. Handlicher Band, der Selbstorganisation als Erfolg versprechende Grundlage für das Studium sowie Techniken des Recherchierens, Lesens und Darstellens beschreibt. Durch die Konzentration auf das Wesentliche wird der Intensität und Kürze des Bachelor- und Masterstudiums Rechnung getragen und ein Leitfaden für die Bewältigung des workloads gegeben.

Theisen, Manuel R.: Wissenschaftliches Arbeiten. Technik, Methodik, Form. 17., aktual. u. bearb. Aufl. München 2017.

Zielgerichtete Beschreibung des Arbeitsprozesses von der Planung bis zum Druck und der Präsentation. Alle Stufen werden ausführlich, detailliert und in sinnvoller Reihenfolge beschrieben, wobei einzelne Kapitel auch für sich genommen werden können. Klar, übersichtlich, grundlegend. Der Autor ist in der Betriebswirtschaftslehre beheimatet.

Wolpert, Lewis: Unglaubliche Wissenschaft. Frankfurt a. M. 2004.

Der Autor, Naturwissenschaftler, vermittelt aufgrund seiner lebenslang gewonnenen Erfahrung den Weg zur wissenschaftlichen Erkenntnis durch Aufzeigen der grundlegenden Frageprinzipien und des wissenschaftlichen, sprich nachvollziehbaren und beweisfähigen Denkens. Der Band ist in der Reihe „Die Andere Bibliothek“ erschienen, mit der Herausgeber Hans Magnus Enzensberger ein Kompendium der Welt- und Wissensliteratur eigener Prägung schafft. Der Band regt zum unkonventionellen Denken an.

Module M1246: Technical Complementary Course for IMPICS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Depends on choice of courses
Credit points 12
Assignment for the Following Curricula Information and Communication Systems: Core Qualification: Compulsory

Module M0673: Information Theory and Coding

Courses
Title Typ Hrs/wk CP
Information Theory and Coding (L0436) Lecture 3 4
Information Theory and Coding (L0438) Recitation Section (large) 2 2
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics 1-3
  • Probability theory and random processes
  • Basic knowledge of communications engineering (e.g. from lecture "Fundamentals of Communications and Random Processes")
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students know the basic definitions for quantification of information in the sense of information theory. They know Shannon's source coding theorem and channel coding theorem and are able to determine theoretical limits of data compression and error-free data transmission over noisy channels. They understand the principles of source coding as well as error-detecting and error-correcting channel coding. They are familiar with the principles of decoding, in particular with modern methods of iterative decoding. They know fundamental coding schemes, their properties and decoding algorithms. 
Skills The students are able to determine the limits of data compression as well as of data transmission through noisy channels and based on those limits to design basic parameters of a transmission scheme. They can estimate the parameters of an error-detecting or error-correcting channel coding scheme for achieving certain performance targets. They are able to compare the properties of basic channel coding and decoding schemes regarding error correction capabilities, decoding delay, decoding complexity and to decide for a suitable method. They are capable of implementing basic coding and decoding schemes in software.
Personal Competence
Social Competence

The students can jointly solve specific problems.

Autonomy

The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Computational Science and Engineering: Specialisation II. Engineering Science: Elective Compulsory
Information and Communication Systems: Core Qualification: Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Course L0436: Information Theory and Coding
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle SoSe
Content
  • Fundamentals of information theory

    • Self information, entropy, mutual information

    • Source coding theorem, channel coding theorem

    • Channel capacity of various channels

  • Fundamental source coding algorithms:

    • Huffman Code, Lempel Ziv Algorithm

  • Fundamentals of channel coding

    • Basic parameters of channel coding and respective bounds

    • Decoding principles: Maximum-A-Posteriori Decoding, Maximum-Likelihood Decoding, Hard-Decision-Decoding and Soft-Decision-Decoding

    • Error probability

  • Block codes

  • Low Density Parity Check (LDPC) Codes and iterative Ddecoding

  • Convolutional codes and Viterbi-Decoding

  • Turbo Codes and iterative decoding

  • Coded Modulation

Literature

Bossert, M.: Kanalcodierung. Oldenbourg.

Friedrichs, B.: Kanalcodierung. Springer.

Lin, S., Costello, D.: Error Control Coding. Prentice Hall.

Roth, R.: Introduction to Coding Theory.

Johnson, S.: Iterative Error Correction. Cambridge.

Richardson, T., Urbanke, R.: Modern Coding Theory. Cambridge University Press.

Gallager, R. G.: Information theory and reliable communication. Whiley-VCH

Cover, T., Thomas, J.: Elements of information theory. Wiley.

Course L0438: Information Theory and Coding
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0804: Research Project and Seminar

Courses
Title Typ Hrs/wk CP
Project Work (L1761) Projection Course 10 15
Seminar (L0817) Seminar 2 3
Module Responsible Prof. Karl-Heinz Zimmermann
Admission Requirements None
Recommended Previous Knowledge Basic knowledge and techniques in the chosen field of specialization.
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to acquire advanced knowledge in a specific field of Computer Science or a closely related subject.
Skills Students are able to work self-dependent in a field of Computer Science or a closely related field.
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 372, Study Time in Lecture 168
Credit points 18
Course achievement None
Examination Study work
Examination duration and scale Presentation of a current research topic (25-30 min and 5 min discussion).
Assignment for the Following Curricula Information and Communication Systems: Core Qualification: Compulsory
Course L1761: Project Work
Typ Projection Course
Hrs/wk 10
CP 15
Workload in Hours Independent Study Time 310, Study Time in Lecture 140
Lecturer Dozenten des SD E
Language DE/EN
Cycle WiSe
Content

Current research topics of the chosen specialization.

Literature

Aktuelle Literatur zu Forschungsthemen aus der gewählten Vertiefungsrichtung.
/
Current literature on research topics of the chosen specialization.

Course L0817: Seminar
Typ Seminar
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dozenten des SD E
Language DE/EN
Cycle WiSe
Content
  • Seminar presentations by enrolled students about the research work carried out by the students
  • Active participation in discussions
Literature Wird vom Veranstalter bekanntgegeben.

Specialization Communication Systems

Graduates of the Communication Systems specialisation are qualified to independently resolve problems in communication networks and digital communications. They also have profound knowledge in software development principles and signal processing. Graduates are qualified to independently resolve problems in communication systems technology and related disciplines.

The Communication Systems specialisation is recommended for students who already bring along a good mathematical foundation, basic knowledge in computer science and/or electrical engineering with focus on information and communication technology.

Module M0676: Digital Communications

Courses
Title Typ Hrs/wk CP
Digital Communications (L0444) Lecture 2 3
Digital Communications (L0445) Recitation Section (large) 2 2
Laboratory Digital Communications (L0646) Practical Course 1 1
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics 1-3
  • Signals and Systems
  • Fundamentals of Communications and Random Processes
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students are able to understand, compare and design modern digital information transmission schemes. They are familiar with the properties of linear and non-linear digital modulation methods. They can describe distortions caused by transmission channels and design and evaluate detectors including channel estimation and equalization. They know the principles of single carrier transmission and multi-carrier transmission as well as the fundamentals of basic multiple access schemes.
Skills The students are able to design and analyse a digital information transmission scheme including multiple access. They are able to choose a digital modulation scheme taking into account transmission rate, required bandwidth, error probability, and further signal properties. They can design an appropriate detector including channel estimation and equalization taking into account performance and complexity properties of suboptimum solutions. They are able to set parameters of a single carrier or multi carrier transmission scheme and trade the properties of both approaches against each other.
Personal Competence
Social Competence

The students can jointly solve specific problems.

Autonomy

The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Written elaboration
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Electrical Engineering: Core Qualification: Compulsory
Computational Science and Engineering: Specialisation II. Engineering Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Microelectronics and Microsystems: Core Qualification: Elective Compulsory
Course L0444: Digital Communications
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content
  • Digital modulation methods

  • Coherent and non-coherent detection

  • Channel estimation and equalization

  • Single-Carrier- and multi carrier transmission schemes, multiple access schemes (TDMA, FDMA, CDMA, OFDM)

Literature

K. Kammeyer: Nachrichtenübertragung, Teubner

P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner.

J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill.

S. Haykin: Communication Systems. Wiley

R.G. Gallager: Principles of Digital Communication. Cambridge

A. Goldsmith: Wireless Communication. Cambridge.

D. Tse, P. Viswanath: Fundamentals of Wireless Communication. Cambridge.

Course L0445: Digital Communications
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0646: Laboratory Digital Communications
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content

- DSL transmission

- Random processes

- Digital data transmission

Literature

K. Kammeyer: Nachrichtenübertragung, Teubner

P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner.

J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill.

S. Haykin: Communication Systems. Wiley

R.G. Gallager: Principles of Digital Communication. Cambridge

A. Goldsmith: Wireless Communication. Cambridge.

D. Tse, P. Viswanath: Fundamentals of Wireless Communication. Cambridge.

Module M0710: Microwave Engineering

Courses
Title Typ Hrs/wk CP
Microwave Engineering (L0573) Lecture 2 3
Microwave Engineering (L0574) Recitation Section (large) 2 2
Microwave Engineering (L0575) Practical Course 1 1
Module Responsible Prof. Alexander Kölpin
Admission Requirements None
Recommended Previous Knowledge

Fundamentals of communication engineering, semiconductor devices and circuits. Basics of Wave propagation from transmission line theory and theoretical electrical engineering.

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the propagation of electromagnetic waves and related phenomena. They can describe transmission systems and components. They can name different types of antennas and describe the main characteristics of antennas. They can explain noise in linear circuits, compare different circuits using characteristic numbers and select the best one for specific scenarios.


Skills

Students are able to calculate the propagation of electromagnetic waves. They can analyze complete transmission systems und configure simple receiver circuits. They can calculate the characteristic of simple antennas and arrays based on the geometry. They can calculate the noise of receivers and the signal-to-noise-ratio of transmission systems. They can apply their theoretical knowledge to the practical courses.


Personal Competence
Social Competence

Students work together in small groups during the practical courses. Together they document, evaluate and discuss their results.


Autonomy

Students are able to relate the knowledge gained in the course to contents of previous lectures. With given instructions they can extract data needed to solve specific problems from external sources. They are able to apply their knowledge to the laboratory courses using the given instructions.


Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Electrical Engineering: Core Qualification: Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L0573: Microwave Engineering
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Arne Jacob
Language DE/EN
Cycle WiSe
Content

- Antennas: Analysis - Characteristics - Realizations

- Radio Wave Propagation

- Transmitter: Power Generation with Vacuum Tubes and Transistors

- Receiver: Preamplifier - Heterodyning - Noise

- Selected System Applications


Literature

H.-G. Unger, „Elektromagnetische Theorie für die Hochfrequenztechnik, Teil I“, Hüthig, Heidelberg, 1988

H.-G. Unger, „Hochfrequenztechnik in Funk und Radar“, Teubner, Stuttgart, 1994

E. Voges, „Hochfrequenztechnik - Teil II: Leistungsröhren, Antennen und Funkübertragung, Funk- und Radartechnik“, Hüthig, Heidelberg, 1991

E. Voges, „Hochfrequenztechnik“, Hüthig, Bonn, 2004


C.A. Balanis, “Antenna Theory”, John Wiley and Sons, 1982

R. E. Collin, “Foundations for Microwave Engineering”, McGraw-Hill, 1992

D. M. Pozar, “Microwave and RF Design of Wireless Systems”, John Wiley and Sons, 2001

D. M. Pozar, “Microwave Engineerin”, John Wiley and Sons, 2005


Course L0574: Microwave Engineering
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Arne Jacob
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0575: Microwave Engineering
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Arne Jacob
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0836: Communication Networks

Courses
Title Typ Hrs/wk CP
Selected Topics of Communication Networks (L0899) Project-/problem-based Learning 2 2
Communication Networks (L0897) Lecture 2 2
Communication Networks Excercise (L0898) Project-/problem-based Learning 1 2
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Fundamental stochastics
  • Basic understanding of computer networks and/or communication technologies is beneficial
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to describe the principles and structures of communication networks in detail. They can explain the formal description methods of communication networks and their protocols. They are able to explain how current and complex communication networks work and describe the current research in these examples.

Skills

Students are able to evaluate the performance of communication networks using the learned methods. They are able to work out problems themselves and apply the learned methods. They can apply what they have learned autonomously on further and new communication networks.

Personal Competence
Social Competence

Students are able to define tasks themselves in small teams and solve these problems together using the learned methods. They can present the obtained results. They are able to discuss and critically analyse the solutions.

Autonomy

Students are able to obtain the necessary expert knowledge for understanding the functionality and performance capabilities of new communication networks independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Presentation
Examination duration and scale 1.5 hours colloquium with three students, therefore about 30 min per student. Topics of the colloquium are the posters from the previous poster session and the topics of the module.
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Specialisation Avionic Systems: Elective Compulsory
Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L0899: Selected Topics of Communication Networks
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Timm-Giel
Language EN
Cycle WiSe
Content Example networks selected by the students will be researched on in a PBL course by the students in groups and will be presented in a poster session at the end of the term.
Literature
  • see lecture
Course L0897: Communication Networks
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Timm-Giel, Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle WiSe
Content
Literature
  • Skript des Instituts für Kommunikationsnetze
  • Tannenbaum, Computernetzwerke, Pearson-Studium


Further literature is announced at the beginning of the lecture.

Course L0898: Communication Networks Excercise
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Andreas Timm-Giel
Language EN
Cycle WiSe
Content Part of the content of the lecture Communication Networks are reflected in computing tasks in groups, others are motivated and addressed in the form of a PBL exercise.
Literature
  • announced during lecture

Module M0638: Modern Wireless Systems

Courses
Title Typ Hrs/wk CP
Selected Topics of Modern Wireless Systems (L1982) Project-/problem-based Learning 2 3
Modern Wireless Systems (L0296) Lecture 3 3
Module Responsible Dr. Rainer Grünheid
Admission Requirements None
Recommended Previous Knowledge
  • Lecture "Digital Communications"
  • Lecture "Advanced Concepts of Wireless Communications"
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students have an overview of a variety of contemporary wireless systems of different size and complexity. They understand the technical solutions from the perspective of the physical and data link layer. They have developed a system view and are aware of the technical arguments, considering the respective applications and associated constraints. For several examples (e.g., Long Term Evolution, LTE), students are able to explain different concepts in a very deep technical detail.
Skills Students have developed a system view. They can transfer their knowledge to evaluate other systems, not discussed in the lecture, and to understand the respective technical solutions. Given specific contraints and technical requirements, students are in a position to make proposals for certain design aspects by an appropriate assessment and the consideration of alternatives.
Personal Competence
Social Competence

Students can jointly elaborate tasks in small groups and present their results in an adequate fashion.

Autonomy

Students are able to extract necessary information from given literature sources and put it into the perspective of the lecture. They can continuously check their level of expertise with the help of accompanying measures (such as online tests, clicker questions, exercise tasks) and, based on that, to steer their learning process accordingly. They can relate their acquired knowledge to topics of other lectures, e.g., "Digital Communications" and "Advanced Topics of Wireless Communications".

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work PBL-Kurs mit Posterpräsentation
Examination Oral exam
Examination duration and scale 40 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
Course L1982: Selected Topics of Modern Wireless Systems
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Rainer Grünheid
Language EN
Cycle WiSe
Content

In this course, selected "hot" topics of modern wireless systems will be covererd. For that purpose, students work in groups to elaborate a given subject. The results will be presented in a poster session towards the end of the semester. Possible topics can include various system concepts and related technical principles, such as:

  • 5G systems
  • Millimeter wave communication
  • Visible light communication

  • Cooperative Multipoint
  • Massive MIMO
  • Massive machine-type communication
  • Interference cancellation
  • Non-orthogonal multiple access
  • Heterogeneous networks
  • ...




Literature will be provided, depending on the given topics
Course L0296: Modern Wireless Systems
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Dr. Rainer Grünheid
Language EN
Cycle WiSe
Content

The lecture gives an overview of contemporary wireless communication concepts and related techniques from a system point of view. For that purpose, different systems, ranging from Wireless Personal to Wide Area Networks, are covered, mainly discussing the physical and data link layer.

Systems under consideration include:
- ZigBee / IEEE 802.15.4
- Bluetooth
- IEEE 802.11 family
- Long Term Evolution (LTE) and LTE Advanced
- WiMAX

A special focus is placed on 4th generation networks; in particular, an in-depth view into the technical principles of the Long Term Evolution (LTE / LTE Advanced ) standard is given, with an emphasis on multiple antenna techniques.

Literature

John G. Proakis, Masoud Salehi: Digital Communications. 5th Edition, Irwin/McGraw Hill, 2007

Stefani Sesia, Issam Toufik, Matthew Baker: LTE - The UMTS Long Term Evolution. Second Edition, Wiley, 2011

Jeffrey G. Andrews, Arunabha Ghosh, Rias Muhamed: Fundamentals of WiMAX. Prentice Hall, 2007


Module M0837: Simulation of Communication Networks

Courses
Title Typ Hrs/wk CP
Simulation of Communication Networks (L0887) Project-/problem-based Learning 5 6
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Knowledge of computer and communication networks
  • Basic programming skills
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain the necessary stochastics, the discrete event simulation technology and modelling of networks for performance evaluation.

Skills

Students are able to apply the method of simulation for performance evaluation to different, also not practiced, problems of communication networks. The students can analyse the obtained results and explain the effects observed in the network. They are able to question their own results.

Personal Competence
Social Competence

Students are able to acquire expert knowledge in groups, present the results, and discuss solution approaches and results. They are able to work out solutions for new problems in small teams.

Autonomy

Students are able to transfer independently and in discussion with others the acquired method and expert knowledge to new problems. They can identify missing knowledge and acquire this knowledge independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Aircraft Systems Engineering: Specialisation Avionic Systems: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Course L0887: Simulation of Communication Networks
Typ Project-/problem-based Learning
Hrs/wk 5
CP 6
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Lecturer Prof. Andreas Timm-Giel, Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle SoSe
Content

In the course necessary basic stochastics and the discrete event simulation are introduced. Also simulation models for communication networks, for example, traffic models, mobility models and radio channel models are presented in the lecture. Students work with a simulation tool, where they can directly try out the acquired skills, algorithms and models. At the end of the course increasingly complex networks and protocols are considered and their performance is determined by simulation.

Literature
  • Skript des Instituts für Kommunikationsnetze

Further literature is announced at the beginning of the lecture.

Module M0637: Advanced Concepts of Wireless Communications

Courses
Title Typ Hrs/wk CP
Advanced Concepts of Wireless Communications (L0297) Lecture 3 4
Advanced Concepts of Wireless Communications (L0298) Recitation Section (large) 2 2
Module Responsible Dr. Rainer Grünheid
Admission Requirements None
Recommended Previous Knowledge
  • Lecture "Signals and Systems"
  • Lecture "Fundamentals of Telecommunications and Stochastic Processes"
  • Lecture "Digital Communications"
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to explain the general as well as advanced principles and techniques that are applied to wireless communications. They understand the properties of wireless channels and the corresponding mathematical description. Furthermore, students are able to explain the physical layer of wireless transmission systems. In this context, they are proficient in the concepts of multicarrier transmission (OFDM), modulation, error control coding, channel estimation and multi-antenna techniques (MIMO). Students can also explain methods of multiple access. On the example of contemporary communication systems (UMTS, LTE) they can put the learnt content into a larger context.
Skills

Using the acquired knowledge, students are able to understand the design of current and future wireless systems. Moreover, given certain constraints, they can choose appropriate parameter settings of communication systems. Students are also able to assess the suitability of technical concepts for a given application.

Personal Competence
Social Competence Students can jointly elaborate tasks in small groups and present their results in an adequate fashion.
Autonomy Students are able to extract necessary information from given literature sources and put it into the perspective of the lecture. They can continuously check their level of expertise with the help of accompanying measures (such as online tests, clicker questions, exercise tasks) and, based on that, to steer their learning process accordingly. They can relate their acquired knowledge to topics of other lectures, e.g., "Fundamentals of Communications and Stochastic Processes" and "Digital Communications".
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 minutes; scope: content of lecture and exercise
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L0297: Advanced Concepts of Wireless Communications
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Dr. Rainer Grünheid
Language EN
Cycle SoSe
Content

The lecture deals with technical principles and related concepts of mobile communications. In this context, the main focus is put on the physical and data link layer of the ISO-OSI stack.

In the lecture, the transmission medium, i.e., the mobile radio channel, serves as the starting point of all considerations. The characteristics and the mathematical descriptions of the radio channel are discussed in detail. Subsequently, various physical layer aspects of wireless transmission are covered, such as channel coding, modulation/demodulation, channel estimation, synchronization, and equalization. Moreover, the different uses of multiple antennas at the transmitter and receiver, known as MIMO techniques, are described. Besides these physical layer topics, concepts of multiple access schemes in a cellular network are outlined.

In order to illustrate the above-mentioned technical solutions, the lecture will also provide a system view, highlighting the basics of some contemporary wireless systems, including UMTS/HSPA, LTE, LTE Advanced, and WiMAX.


Literature

John G. Proakis, Masoud Salehi: Digital Communications. 5th Edition, Irwin/McGraw Hill, 2007

David Tse, Pramod Viswanath: Fundamentals of Wireless Communication. Cambridge, 2005

Bernard Sklar: Digital Communications: Fundamentals and Applications. 2nd Edition, Pearson, 2013

Stefani Sesia, Issam Toufik, Matthew Baker: LTE - The UMTS Long Term Evolution. Second Edition, Wiley, 2011

Course L0298: Advanced Concepts of Wireless Communications
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Rainer Grünheid
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Focus Signal Processing

Module M0550: Digital Image Analysis

Courses
Title Typ Hrs/wk CP
Digital Image Analysis (L0126) Lecture 4 6
Module Responsible Prof. Rolf-Rainer Grigat
Admission Requirements None
Recommended Previous Knowledge

System theory of one-dimensional signals (convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems), linear algebra (Eigenvalue decomposition, SVD), basic stochastics and statistics (expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters), basics of Matlab, basics in optics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can

  • Describe imaging processes
  • Depict the physics of sensorics
  • Explain linear and non-linear filtering of signals
  • Establish interdisciplinary connections in the subject area and arrange them in their context
  • Interpret effects of the most important classes of imaging sensors and displays using mathematical methods and physical models.


Skills

Students are able to

  • Use highly sophisticated methods and procedures of the subject area
  • Identify problems and develop and implement creative solutions.

Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems.

Students are able to assess different solution approaches in multidimensional decision-making areas.

Students can undertake a prototypical analysis of processes in Matlab.


Personal Competence
Social Competence k.A.


Autonomy

Students can solve image analysis tasks independently using the relevant literature.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 Minutes, Content of Lecture and materials in StudIP
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0126: Digital Image Analysis
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Rolf-Rainer Grigat
Language EN
Cycle WiSe
Content
  • Image representation, definition of images and volume data sets, illumination, radiometry, multispectral imaging, reflectivities, shape from shading
  • Perception of luminance and color, color spaces and transforms, color matching functions, human visual system, color appearance models
  • imaging sensors (CMOS, CCD, HDR, X-ray, IR), sensor characterization(EMVA1288), lenses and optics
  • spatio-temporal sampling (interpolation, decimation, aliasing, leakage, moiré, flicker, apertures)
  • features (filters, edge detection, morphology, invariance, statistical features, texture)
  • optical flow ( variational methods, quadratic optimization, Euler-Lagrange equations)
  • segmentation (distance, region growing, cluster analysis, active contours, level sets, energy minimization and graph cuts)
  • registration (distance and similarity, variational calculus, iterative closest points)
Literature

Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011
Wedel/Cremers, Stereo Scene Flow for 3D Motion Analysis, Springer 2011
Handels, Medizinische Bildverarbeitung, Vieweg, 2000
Pratt, Digital Image Processing, Wiley, 2001
Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989

Module M0677: Digital Signal Processing and Digital Filters

Courses
Title Typ Hrs/wk CP
Digital Signal Processing and Digital Filters (L0446) Lecture 3 4
Digital Signal Processing and Digital Filters (L0447) Recitation Section (large) 2 2
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics 1-3
  • Signals and Systems
  • Fundamentals of signal and system theory as well as random processes.
  • Fundamentals of spectral transforms (Fourier series, Fourier transform, Laplace transform)
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students know and understand basic algorithms of digital signal processing. They are familiar with the spectral transforms of discrete-time signals and are able to describe and analyse signals and systems in time and image domain. They know basic structures of digital filters and can identify and assess important properties including stability. They are aware of the effects caused by quantization of filter coefficients and signals. They are familiar with the basics of adaptive filters. They can perform traditional and parametric methods of spectrum estimation, also taking a limited observation window into account.
Skills The students are able to apply methods of digital signal processing to new problems. They can choose and parameterize suitable filter striuctures. In particular, the can design adaptive filters according to the minimum mean squared error (MMSE) criterion and develop an efficient implementation, e.g. based on the LMS or RLS algorithm.  Furthermore, the students are able to apply methods of spectrum estimation and to take the effects of a limited observation window into account.
Personal Competence
Social Competence

The students can jointly solve specific problems.

Autonomy

The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation II. Engineering Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0446: Digital Signal Processing and Digital Filters
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Gerhard Bauch
Language EN
Cycle WiSe
Content
  • Transforms of discrete-time signals:

    • Discrete-time Fourier Transform (DTFT)

    • Discrete Fourier-Transform (DFT), Fast Fourier Transform (FFT)

    • Z-Transform

  • Correspondence of continuous-time and discrete-time signals, sampling, sampling theorem

  • Fast convolution, Overlap-Add-Method, Overlap-Save-Method

  • Fundamental structures and basic types of digital filters

  • Characterization of digital filters using pole-zero plots, important properties of digital filters

  • Quantization effects

  • Design of linear-phase filters

  • Fundamentals of stochastic signal processing and adaptive filters

    • MMSE criterion

    • Wiener Filter

    • LMS- and RLS-algorithm

  • Traditional and parametric methods of spectrum estimation

Literature

K.-D. Kammeyer, K. Kroschel: Digitale Signalverarbeitung. Vieweg Teubner.

V. Oppenheim, R. W. Schafer, J. R. Buck: Zeitdiskrete Signalverarbeitung. Pearson StudiumA. V.

W. Hess: Digitale Filter. Teubner.

Oppenheim, R. W. Schafer: Digital signal processing. Prentice Hall.

S. Haykin:  Adaptive flter theory.

L. B. Jackson: Digital filters and signal processing. Kluwer.

T.W. Parks, C.S. Burrus: Digital filter design. Wiley.

Course L0447: Digital Signal Processing and Digital Filters
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0738: Digital Audio Signal Processing

Courses
Title Typ Hrs/wk CP
Digital Audio Signal Processing (L0650) Lecture 3 4
Digital Audio Signal Processing (L0651) Recitation Section (large) 1 2
Module Responsible Prof. Udo Zölzer
Admission Requirements None
Recommended Previous Knowledge

Signals and Systems

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Die Studierenden können die grundlegenden Verfahren und Methoden der digitalen Audiosignalverarbeitung erklären. Sie können die wesentlichen physikalischen Effekte bei der Sprach- und Audiosignalverarbeitung erläutern und in Kategorien einordnen. Sie können einen Überblick der numerischen Methoden und messtechnischen Charakterisierung von Algorithmen zur Audiosignalverarbeitung geben. Sie können die erarbeiteten Algorithmen auf weitere Anwendungen im Bereich der Informationstechnik und Informatik abstrahieren.

Skills

The students will be able to apply methods and techniques from audio signal processing in the fields of mobile and internet communication. They can rely on elementary algorithms of audio signal processing in form of Matlab code and interactive JAVA applets. They can study parameter modifications and evaluate the influence on human perception and technical applications in a variety of applications beyond audio signal processing. Students can perform measurements in time and frequency domain in order to give objective and subjective quality measures with respect to the methods and applications.

Personal Competence
Social Competence

The students can work in small groups to study special tasks and problems and will be enforced to present their results with adequate methods during the exercise.

Autonomy

The students will be able to retrieve information out of the relevant literature in the field and putt hem into the context of the lecture. They can relate their gathered knowledge and relate them to other lectures (signals and systems, digital communication systems, image and video processing, and pattern recognition). They will be prepared to understand and communicate problems and effects in the field audio signal processing.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 45 min
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L0650: Digital Audio Signal Processing
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Udo Zölzer
Language EN
Cycle WiSe
Content
  • Introduction (Studio Technology,  Digital Transmission Systems, Storage Media, Audio Components at Home)

  • Quantization (Signal Quantization, Dither, Noise Shaping, Number Representation)

  • AD/DA Conversion (Methods, AD Converters, DA Converters, Audio Processing Systems, Digital Signal Processors, Digital Audio Interfaces, Single-Processor Systems, Multiprocessor Systems)

  • Equalizers (Recursive Audio Filters, Nonrecursive Audio Filters, Multi-Complementary Filter Bank)

  • Room Simulation (Early Reflections, Subsequent Reverberation, Approximation of Room Impulse Responses)

  • Dynamic Range Control (Static Curve, Dynamic Behavior, Implementation, Realization Aspects)

  • Sampling Rate Conversion (Synchronous Conversion, Asynchronous Conversion, Interpolation Methods)

  • Data Compression (Lossless Data Compression, Lossy Data Compression, Psychoacoustics, ISO-MPEG1 Audio Coding)

Literature

- U. Zölzer, Digitale Audiosignalverarbeitung, 3. Aufl., B.G. Teubner, 2005.

- U. Zölzer, Digitale Audio Signal Processing, 2nd Edition, J. Wiley & Sons, 2005.


- U. Zölzer (Ed), Digital Audio Effects, 2nd Edition, J. Wiley & Sons, 2011.


 






Course L0651: Digital Audio Signal Processing
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Udo Zölzer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0556: Computer Graphics

Courses
Title Typ Hrs/wk CP
Computer Graphics (L0145) Lecture 2 3
Computer Graphics (L0768) Recitation Section (small) 2 3
Module Responsible Prof. Tobias Knopp
Admission Requirements None
Recommended Previous Knowledge
  •  Linear Algebra (in particular matrix/vector computation)
  •  Basic programming skills in C/C++


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain and describe basic algorithms in 3D computer graphics.


Skills

Students are capable of

  •  implementing a basic 3D rendering pipeline. This consists of projecting simple 3D structures (e.g. cube, spheres) onto a 2D surface using a virtual camera.
  •  apply geometric transformations (e.g. rotation, scaling) in 2D and 3D computer graphics.
  •  using well-known 2D/3D APIs (OpenGL, Cairo) for solving a given problem statement.
Personal Competence
Social Competence

Students can collaborate in a small team on the realization and validation of a 3D computer graphics pipeline.



Autonomy
  •  Students are able to solve simple tasks independently with reference to the contents of the lectures and the exercise sets.
  •  Students are able to solve detailed problems independently with the aid of the tutorial’s programming task.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Course L0145: Computer Graphics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language EN
Cycle SoSe
Content

Computer graphics and animation are leading to an unprecedented visual revolution. The course deals with its technological foundations:

  • Object-oriented Computer Graphics
  • Projections and Transformations
  • Polygonal and Parametric Modelling
  • Illuminating, Shading, Rendering
  • Computer Animation Techniques
  • Kinematics and Dynamics Effects

Students will be be working on a series of mini-projects which will eventually evolve into a final project. Learning computer graphics and animation resembles learning a musical instrument. Therefore, doing your projects well and in time is essential for performing well on this course.

Literature
Alan H. Watt:
3D Computer Graphics.
Harlow: Pearson (3rd ed., repr., 2009).

Dariush Derakhshani:
Introducing Autodesk Maya 2014.
New York, NY : Wiley (2013).

Course L0768: Computer Graphics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0551: Pattern Recognition and Data Compression

Courses
Title Typ Hrs/wk CP
Pattern Recognition and Data Compression (L0128) Lecture 4 6
Module Responsible Prof. Rolf-Rainer Grigat
Admission Requirements None
Recommended Previous Knowledge

Linear algebra (including PCA, unitary transforms), stochastics and statistics, binary arithmetics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can name the basic concepts of pattern recognition and data compression.

Students are able to discuss logical connections between the concepts covered in the course and to explain them by means of examples.


Skills

Students can apply statistical methods to classification problems in pattern recognition and to prediction in data compression. On a sound theoretical and methodical basis they can analyze characteristic value assignments and classifications and describe data compression and video signal coding. They are able to use highly sophisticated methods and processes of the subject area. Students are capable of assessing different solution approaches in multidimensional decision-making areas.



Personal Competence
Social Competence

k.A.

Autonomy

Students are capable of identifying problems independently and of solving them scientifically, using the methods they have learnt.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 Minutes, Content of Lecture and materials in StudIP
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0128: Pattern Recognition and Data Compression
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Rolf-Rainer Grigat
Language EN
Cycle SoSe
Content

Structure of a pattern recognition system, statistical decision theory, classification based on statistical models, polynomial regression, dimension reduction, multilayer perceptron regression, radial basis functions, support vector machines, unsupervised learning and clustering, algorithm-independent machine learning, mixture models and EM, adaptive basis function models and boosting, Markov random fields

Information, entropy, redundancy, mutual information, Markov processes, basic coding schemes (code length, run length coding, prefix-free codes), entropy coding (Huffman, arithmetic coding), dictionary coding (LZ77/Deflate/LZMA2, LZ78/LZW), prediction, DPCM, CALIC, quantization (scalar and vector quantization), transform coding, prediction, decorrelation (DPCM, DCT, hybrid DCT, JPEG, JPEG-LS), motion estimation, subband coding, wavelets, HEVC (H.265,MPEG-H)

Literature

Schürmann: Pattern Classification, Wiley 1996
Murphy, Machine Learning, MIT Press, 2012
Barber, Bayesian Reasoning and Machine Learning, Cambridge, 2012
Duda, Hart, Stork: Pattern Classification, Wiley, 2001
Bishop: Pattern Recognition and Machine Learning, Springer 2006

Salomon, Data Compression, the Complete Reference, Springer, 2000
Sayood, Introduction to Data Compression, Morgan Kaufmann, 2006
Ohm, Multimedia Communication Technology, Springer, 2004
Solari, Digital video and audio compression, McGraw-Hill, 1997
Tekalp, Digital Video Processing, Prentice Hall, 1995

Module M1598: Image Processing

Courses
Title Typ Hrs/wk CP
Image Processing (L2443) Lecture 2 4
Image Processing (L2444) Recitation Section (small) 2 2
Module Responsible Prof. Tobias Knopp
Admission Requirements None
Recommended Previous Knowledge Signal and Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know about

  • visual perception
  • multidimensional signal processing
  • sampling and sampling theorem
  • filtering
  • image enhancement
  • edge detection
  • multi-resolution procedures: Gauss and Laplace pyramid, wavelets
  • image compression
  • image segmentation
  • morphological image processing
Skills

The students can

  • analyze, process, and improve multidimensional image data
  • implement simple compression algorithms
  • design custom filters for specific applications
Personal Competence
Social Competence

Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem.

Autonomy

Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L2443: Image Processing
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content
  • Visual perception
  • Multidimensional signal processing
  • Sampling and sampling theorem
  • Filtering
  • Image enhancement
  • Edge detection
  • Multi-resolution procedures: Gauss and Laplace pyramid, wavelets
  • Image Compression
  • Segmentation
  • Morphological image processing
Literature

Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011
Pratt, Digital Image Processing, Wiley, 2001
Bernd Jähne: Digitale Bildverarbeitung - Springer, Berlin 2005

Course L2444: Image Processing
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Focus Software

Module M0753: Software Verification

Courses
Title Typ Hrs/wk CP
Software Verification (L0629) Lecture 2 3
Software Verification (L0630) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Automata theory and formal languages
  • Computational logic
  • Object-oriented programming, algorithms, and data structures
  • Functional programming or procedural programming
  • Concurrency
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students apply the major verification techniques in model checking and deductive verification. They explain in formal terms syntax and semantics of the underlying logics, and assess the expressivity of different logics as well as their limitations. They classify formal properties of software systems. They find flaws in formal arguments, arising from modeling artifacts or underspecification. 

Skills

Students formulate provable properties of a software system in a formal language. They develop logic-based models that properly abstract from the software under verification and, where necessary, adapt model or property. They construct proofs and property checks by hand or using tools for model checking or deductive verification, and reflect on the scope of the results. Presented with a verification problem in natural language, they select the appropriate verification technique and justify their choice.   

Personal Competence
Social Competence

Students discuss relevant topics in class. They defend their solutions orally. They communicate in English. 

Autonomy

Using accompanying on-line material for self study, students can assess their level of knowledge continuously and adjust it appropriately.  Working on exercise problems, they receive additional feedback. Within limits, they can set their own learning goals. Upon successful completion, students can identify and precisely formulate new problems in academic or applied research in the field of software verification. Within this field, they can conduct independent studies to acquire the necessary competencies and compile their findings in academic reports. They can devise plans to arrive at new solutions or assess existing ones. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 15 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems: Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Course L0629: Software Verification
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content
  • Syntax and semantics of logic-based systems
  • Deductive verification
    • Specification
    • Proof obligations
    • Program properties
    • Automated vs. interactive theorem proving
  • Model checking
    • Foundations
    • Property languages
    • Tool support
  • Timed automata
  • Recent developments of verification techniques and applications
Literature
  • C. Baier and J-P. Katoen, Principles of Model Checking, MIT Press 2007.
  • M. Huth and M. Bryan, Logic in Computer Science. Modelling and Reasoning about Systems, 2nd Edition, 2004.
  • Selected Research Papers
Course L0630: Software Verification
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0733: Software Analysis

Courses
Title Typ Hrs/wk CP
Software Analysis (L0631) Lecture 2 3
Software Analysis (L0632) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Basic knowledge of software-engineering activities
  • Discrete algebraic structures
  • Object-oriented programming, algorithms, and data structures
  • Functional programming or Procedural programming
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students apply the major approaches to data-flow analysis, control-flow analysis, and type-based analysis, along with their classification schemes, and employ abstract interpretation. They explain the standard forms of internal representations and models, including their mathematical structure and properties, and evaluate their suitability for a particular analysis. They explain and categorize the major analysis algorithms. They distinguish precise solutions from approximative approaches, and show termination and soundness properties. 

Skills

Presented with an analytical task for a software artifact, students select appropriate approaches from software analysis, and justify their choice. They design suitable representations by modifying standard representations. They develop customized analyses and devise them as safe overapproximations. They formulate analyses in a formal way and construct arguments for their correctness, behavior, and precision.

Personal Competence
Social Competence

Students discuss relevant topics in class. They defend their solutions orally. They communicate in English. 

Autonomy

Using accompanying on-line material for self study, students can assess their level of knowledge continuously and adjust it appropriately.  Working on exercise problems, they receive additional feedback. Within limits, they can set their own learning goals. Upon successful completion, students can identify and precisely formulate new problems in academic or applied research in the field of software analysis. Within this field, they can conduct independent studies to acquire the necessary competencies and compile their findings in academic reports. They can devise plans to arrive at new solutions or assess existing ones. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale software artifacts/mathematical write-ups; short presentation
Assignment for the Following Curricula Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Course L0631: Software Analysis
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content


  • Modeling: Control-Flow Modeling, Data Dependences, Intermediate Languages)
  • Classical Bit-Vector Analyses (Reaching Definition, Very Busy Expressions, Liveness, Available Expressions, May/Must, Forward/Backward)
  • Monotone Frameworks (Lattices, Transfer Functions, Ascending Chain Condition, Distributivity, Constant Propagation)
  • Theory of Data-Flow Analysis (Tarski's Fixed Point Theorem,  Data-Flow Equations, MFP Solution, MOP Solution, Worklist Algorithm)
  • Non-Classical Data-Flow Analyses
  • Abstract Interpretation (Galois Connections, Approximating Fixed Points, Construction Techniques)
  • Type Systems (Type Derivation, Inference Trees, Algorithm W, Unification)
  • Recent Developments of Analysis Techniques and Applications


Literature
  • Flemming Nielsen, Hanne Nielsen, and Chris Hankin. Principles of Program Analysis. Springer, 2nd. ed. 2005.
  • Uday Khedker, Amitabha Sanyal, and Bageshri Karkara. Data Flow Analysis: Theory and Practice. CRC Press, 2009.
  • Benjamin Pierce, Types and Programming Languages, MIT Press.
  • Selected research papers
Course L0632: Software Analysis
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1301: Software Testing

Courses
Title Typ Hrs/wk CP
Software Testing (L1791) Lecture 2 3
Software Testing (L1792) Project-/problem-based Learning 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Software Engineering
  • Higher Programming Languages
  • Object-Oriented Programming
  • Algorithms and Data Structures
  • Experience with (Small) Software Projects
  • Statistics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Students explain the different phases of testing, describe fundamental
techniques of different types of testing, and paraphrase the basic
principles of the corresponding test process. They give examples of
software development scenarios and the corresponding test type and
technique. They explain algorithms used for particular testing
techniques and describe possible advantages and limitations.
Skills
Students identify the appropriate testing type and technique for a given
problem. They adapt and execute respective algorithms to execute a
concrete test technique properly. They interpret testing results and
execute corresponding steps for proper re-test scenarios. They write and
analyze test specifications. They apply bug finding techniques for
non-trivial problems.
Personal Competence
Social Competence

Students discuss relevant topics in class. They defend their solutions orally.
They communicate in English.

Autonomy

Students can assess their level of knowledge continuously and adjust it appropriately, based on feedback and on self-guided studies. Within limits, they can set their own learning goals. Upon successful completion, students can identify and precisely formulate new problems in academic or applied research in the field of software testing. Within this field, they can conduct independent studies to acquire the necessary competencies and compile their findings in academic reports. They can devise plans to arrive at new solutions or assess existing ones

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Software
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Course L1791: Software Testing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle SoSe
Content
  • Fundamentals of software testing
  • Model-based testing
  • Test automation
  • Criteria-based testing
Literature
  • M. Pezze and M. Young, Software Testing and Analysis, John Wiley 2008.
  • P. Ammann and J. Offutt, "Introduction to Software Testing", 2nd edition 2016.
  • A. Zeller: "Why Programs Fail: A Guide to Systematic Debugging", 2nd edition 2012.
Course L1792: Software Testing
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle SoSe
Content
  • Fundamentals of software testing
  • Model-based testing
  • Test automation
  • Criteria-based testing
Literature
  • M. Pezze and M. Young, Software Testing and Analysis, John Wiley 2008.
  • P. Ammann and J. Offutt, "Introduction to Software Testing", 2nd edition 2015.

Module M0924: Software for Embedded Systems

Courses
Title Typ Hrs/wk CP
Software for Embdedded Systems (L1069) Lecture 2 3
Software for Embdedded Systems (L1070) Recitation Section (small) 3 3
Module Responsible Prof. Bernd-Christian Renner
Admission Requirements None
Recommended Previous Knowledge
  • Good knowledge and experience in programming language C
  • Basis knowledge in software engineering
  • Basic understanding of assembly language
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students know the basic principles and procedures of software engineering for embedded systems. They are able to describe the usage and pros of event based programming using interrupts. They know the components and functions of a concrete microcontroller. The participants explain requirements of real time systems. They know at least three scheduling algorithms for real time operating systems including their pros and cons.
Skills Students build interrupt-based programs for a concrete microcontroller. They build and use a preemptive scheduler. They use peripheral components (timer, ADC, EEPROM) to realize complex tasks for embedded systems. To interface with external components they utilize serial protocols.
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Course L1069: Software for Embdedded Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bernd-Christian Renner
Language DE/EN
Cycle SoSe
Content
  • General-Purpose Processors
  • Programming the Atmel AVR
  • Interrupts
  • C for Embedded Systems
  • Standard Single Purpose Processors: Peripherals
  • Finite-State Machines
  • Memory
  • Operating Systems for Embedded Systems
  • Real-Time Embedded Systems
  • Boot loader and Power Management
Literature
  1. Embedded System Design,  F. Vahid and T. Givargis,  John Wiley
  2. Programming Embedded Systems: With C and Gnu Development Tools, M. Barr and A. Massa, O'Reilly

  3. C und C++ für Embedded Systems,  F. Bollow, M. Homann, K. Köhn,  MITP
  4. The Art of Designing  Embedded Systems, J. Ganssle, Newnses

  5. Mikrocomputertechnik mit Controllern der Atmel AVR-RISC-Familie,  G. Schmitt, Oldenbourg
  6. Making Embedded Systems: Design Patterns for Great Software, E. White, O'Reilly

Course L1070: Software for Embdedded Systems
Typ Recitation Section (small)
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Bernd-Christian Renner
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1397: Model Checking - Proof Engines and Algorithms

Courses
Title Typ Hrs/wk CP
Model Checking - Proof Engines and Algorithms (L1979) Lecture 2 3
Model Checking - Proof Engines and Algorithms (L1980) Recitation Section (small) 2 3
Module Responsible Prof. Görschwin Fey
Admission Requirements None
Recommended Previous Knowledge Basic knowledge about data structures and algorithms
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students know

  • algorithms and data structures for model checking,
  • basics of Boolean reasoning engines and
  • the impact of specification and modelling on the computational effort for model checking.
Skills

Students can

  • explain and implement algorithms and data structures for model checking,
  • decide whether a given problem can be solved using Boolean reasoning or model checking, and
  • implement the respective algorithms.
Personal Competence
Social Competence

Students

  • discuss relevant topics in class and
  • defend their solutions orally.
Autonomy Using accompanying material students independently learn in-depth relations between concepts explained in the lecture and additional solution strategies.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Die Aufgabe wird im Rahmen von Volresung und Prüfung definiert. Die Lösung der Aufgabe ist Zulassungsvoraussetzung für die Prüfung.
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems: Elective Compulsory
Course L1979: Model Checking - Proof Engines and Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle SoSe
Content

Correctness is a major concern in embedded systems. Model checking can fully automatically proof formal properties about digital hardware or software. Such properties are given in temporal logic, e.g., to prove "No two orthogonal traffic lights will ever be green."

And how do the underlying reasoning algorithms work so effectively in practice despite a computational complexity of NP hardness and beyond?

But what are the limitations of model checking?
How are the models generated from a given design?
The lecture will answer these questions. Open source tools will be used to gather a practical experience.

Among other topics, the lecture will consider the following topics:

  • Modelling digital Hardware, Software, and Cyber Physical Systems

  • Data structures, decision procedures and proof engines

    • Binary Decision Diagrams

    • And-Inverter-Graphs

    • Boolean Satisfiability

    • Satisfiability Modulo Theories

  • Specification Languages

    • CTL

    • LTL

    • System Verilog Assertions

  • Algorithms for

    • Reachability Analysis

    • Symbolic CTL Checking

    • Bounded LTL-Model Checking

    • Optimizations, e.g., induction, abstraction

  • Quality assurance

Literature

Edmund M. Clarke, Jr., Orna Grumberg, and Doron A. Peled. 1999. Model Checking. MIT Press, Cambridge, MA, USA.

A. Biere, A. Biere, M. Heule, H. van Maaren, and T. Walsh. 2009. Handbook of Satisfiability: Volume 185 Frontiers in Artificial Intelligence and Applications. IOS Press, Amsterdam, The Netherlands, The Netherlands.

Selected research papers

Course L1980: Model Checking - Proof Engines and Algorithms
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Specialization Secure and Dependable IT Systems

Graduates of the Secure and Dependable IT Systems specialisation acquire extensive knowledge in software verification and IT security. They also have knowledge in communication networks and signal processing. They are able to apply methods and procedures required to work on secure and dependable IT systems, as well as critically examine new insights to further develop and incorporate in their work.

The Secure and Dependable IT Systems specialisation is recommended for students who already have a good mathematical foundation and basic knowledge in computer science and software development.

Module M0753: Software Verification

Courses
Title Typ Hrs/wk CP
Software Verification (L0629) Lecture 2 3
Software Verification (L0630) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Automata theory and formal languages
  • Computational logic
  • Object-oriented programming, algorithms, and data structures
  • Functional programming or procedural programming
  • Concurrency
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students apply the major verification techniques in model checking and deductive verification. They explain in formal terms syntax and semantics of the underlying logics, and assess the expressivity of different logics as well as their limitations. They classify formal properties of software systems. They find flaws in formal arguments, arising from modeling artifacts or underspecification. 

Skills

Students formulate provable properties of a software system in a formal language. They develop logic-based models that properly abstract from the software under verification and, where necessary, adapt model or property. They construct proofs and property checks by hand or using tools for model checking or deductive verification, and reflect on the scope of the results. Presented with a verification problem in natural language, they select the appropriate verification technique and justify their choice.   

Personal Competence
Social Competence

Students discuss relevant topics in class. They defend their solutions orally. They communicate in English. 

Autonomy

Using accompanying on-line material for self study, students can assess their level of knowledge continuously and adjust it appropriately.  Working on exercise problems, they receive additional feedback. Within limits, they can set their own learning goals. Upon successful completion, students can identify and precisely formulate new problems in academic or applied research in the field of software verification. Within this field, they can conduct independent studies to acquire the necessary competencies and compile their findings in academic reports. They can devise plans to arrive at new solutions or assess existing ones. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes 15 % Excercises
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems: Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Course L0629: Software Verification
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content
  • Syntax and semantics of logic-based systems
  • Deductive verification
    • Specification
    • Proof obligations
    • Program properties
    • Automated vs. interactive theorem proving
  • Model checking
    • Foundations
    • Property languages
    • Tool support
  • Timed automata
  • Recent developments of verification techniques and applications
Literature
  • C. Baier and J-P. Katoen, Principles of Model Checking, MIT Press 2007.
  • M. Huth and M. Bryan, Logic in Computer Science. Modelling and Reasoning about Systems, 2nd Edition, 2004.
  • Selected Research Papers
Course L0630: Software Verification
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0942: Software Security

Courses
Title Typ Hrs/wk CP
Software Security (L1103) Lecture 2 3
Software Security (L1104) Recitation Section (small) 2 3
Module Responsible Prof. Dieter Gollmann
Admission Requirements None
Recommended Previous Knowledge Familiarity with C/C++, web programming
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can 

  • name the main causes for security vulnerabilities in software 
  • explain current methods for identifying and avoiding security vulnerabilities 
  • explain the fundamental concepts of code-based access control 
Skills

Students are capable of 

  • performing a software vulnerability analysis 
  • developing secure code 
Personal Competence
Social Competence None
Autonomy Students are capable of acquiring knowledge independently from professional publications, technical  standards, and other sources, and are capable of applying newly acquired knowledge to new problems. 
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems: Elective Compulsory
Course L1103: Software Security
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Gollmann
Language EN
Cycle WiSe
Content
  • Reliabilty and Software Security
  • Attacks exploiting character and integer representations
  • Buffer overruns
  • Vulnerabilities in memory managemet: double free attacks
  • Race conditions
  • SQL injection
  • Cross-site scripting and cross-site request forgery
  • Testing for security; taint analysis
  • Type safe languages
  • Development proceses for secure software
  • Code-based access control


Literature

M. Howard, D. LeBlanc: Writing Secure Code, 2nd edition, Microsoft Press (2002)

G. Hoglund, G. McGraw: Exploiting Software, Addison-Wesley (2004)

L. Gong, G. Ellison, M. Dageforde: Inside Java 2 Platform Security, 2nd edition, Addison-Wesley (2003)

B. LaMacchia, S. Lange, M. Lyons, R. Martin, K. T. Price: .NET Framework Security, Addison-Wesley Professional (2002)

D. Gollmann: Computer Security, 3rd edition (2011)


Course L1104: Software Security
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Gollmann
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1400: Design of Dependable Systems

Courses
Title Typ Hrs/wk CP
Designing Dependable Systems (L2000) Lecture 2 3
Designing Dependable Systems (L2001) Recitation Section (small) 2 3
Module Responsible Prof. Görschwin Fey
Admission Requirements None
Recommended Previous Knowledge Basic knowledge about data structures and algorithms
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

In the following "dependable" summarizes the concepts Reliability, Availability, Maintainability, Safety and Security.

Knowledge about approaches for designing dependable systems, e.g.,

  • Structural solutions like modular redundancy
  • Algorithmic solutions like handling byzantine faults or checkpointing

Knowledge about methods for the analysis of dependable systems


Skills

Ability to implement dependable systems using the above approaches.

Ability to analyzs the dependability of systems using the above methods for analysis.

Personal Competence
Social Competence

Students

  • discuss relevant topics in class and
  • present their solutions orally.
Autonomy Using accompanying material students independently learn in-depth relations between concepts explained in the lecture and additional solution strategies.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Die Lösung einer Aufgabe ist Zuslassungsvoraussetzung für die Prüfung. Die Aufgabe wird in Vorlesung und Übung definiert.
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Course L2000: Designing Dependable Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle SoSe
Content

Description

The term dependability comprises various aspects of a system. These are typically:
  • Reliability
  • Availability
  • Maintainability
  • Safety
  • Security
This makes dependability a core aspect that has to be considered early in system design, no matter whether software, embedded systems or full scale cyber-physical systems are considered.

Contents

The module introduces the basic concepts for the design and the analysis of dependable systems. Design examples for getting practical hands-on-experience in dependable design techniques. The module focuses towards embedded systems. The following topics are covered:
  • Modelling
  • Fault Tolerance
  • Design Concepts
  • Analysis Techniques
Literature
Course L2001: Designing Dependable Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1397: Model Checking - Proof Engines and Algorithms

Courses
Title Typ Hrs/wk CP
Model Checking - Proof Engines and Algorithms (L1979) Lecture 2 3
Model Checking - Proof Engines and Algorithms (L1980) Recitation Section (small) 2 3
Module Responsible Prof. Görschwin Fey
Admission Requirements None
Recommended Previous Knowledge Basic knowledge about data structures and algorithms
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students know

  • algorithms and data structures for model checking,
  • basics of Boolean reasoning engines and
  • the impact of specification and modelling on the computational effort for model checking.
Skills

Students can

  • explain and implement algorithms and data structures for model checking,
  • decide whether a given problem can be solved using Boolean reasoning or model checking, and
  • implement the respective algorithms.
Personal Competence
Social Competence

Students

  • discuss relevant topics in class and
  • defend their solutions orally.
Autonomy Using accompanying material students independently learn in-depth relations between concepts explained in the lecture and additional solution strategies.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Subject theoretical and practical work Die Aufgabe wird im Rahmen von Volresung und Prüfung definiert. Die Lösung der Aufgabe ist Zulassungsvoraussetzung für die Prüfung.
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems: Elective Compulsory
Course L1979: Model Checking - Proof Engines and Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle SoSe
Content

Correctness is a major concern in embedded systems. Model checking can fully automatically proof formal properties about digital hardware or software. Such properties are given in temporal logic, e.g., to prove "No two orthogonal traffic lights will ever be green."

And how do the underlying reasoning algorithms work so effectively in practice despite a computational complexity of NP hardness and beyond?

But what are the limitations of model checking?
How are the models generated from a given design?
The lecture will answer these questions. Open source tools will be used to gather a practical experience.

Among other topics, the lecture will consider the following topics:

  • Modelling digital Hardware, Software, and Cyber Physical Systems

  • Data structures, decision procedures and proof engines

    • Binary Decision Diagrams

    • And-Inverter-Graphs

    • Boolean Satisfiability

    • Satisfiability Modulo Theories

  • Specification Languages

    • CTL

    • LTL

    • System Verilog Assertions

  • Algorithms for

    • Reachability Analysis

    • Symbolic CTL Checking

    • Bounded LTL-Model Checking

    • Optimizations, e.g., induction, abstraction

  • Quality assurance

Literature

Edmund M. Clarke, Jr., Orna Grumberg, and Doron A. Peled. 1999. Model Checking. MIT Press, Cambridge, MA, USA.

A. Biere, A. Biere, M. Heule, H. van Maaren, and T. Walsh. 2009. Handbook of Satisfiability: Volume 185 Frontiers in Artificial Intelligence and Applications. IOS Press, Amsterdam, The Netherlands, The Netherlands.

Selected research papers

Course L1980: Model Checking - Proof Engines and Algorithms
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Görschwin Fey
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Focus Networks

Module M0676: Digital Communications

Courses
Title Typ Hrs/wk CP
Digital Communications (L0444) Lecture 2 3
Digital Communications (L0445) Recitation Section (large) 2 2
Laboratory Digital Communications (L0646) Practical Course 1 1
Module Responsible Prof. Gerhard Bauch
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics 1-3
  • Signals and Systems
  • Fundamentals of Communications and Random Processes
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students are able to understand, compare and design modern digital information transmission schemes. They are familiar with the properties of linear and non-linear digital modulation methods. They can describe distortions caused by transmission channels and design and evaluate detectors including channel estimation and equalization. They know the principles of single carrier transmission and multi-carrier transmission as well as the fundamentals of basic multiple access schemes.
Skills The students are able to design and analyse a digital information transmission scheme including multiple access. They are able to choose a digital modulation scheme taking into account transmission rate, required bandwidth, error probability, and further signal properties. They can design an appropriate detector including channel estimation and equalization taking into account performance and complexity properties of suboptimum solutions. They are able to set parameters of a single carrier or multi carrier transmission scheme and trade the properties of both approaches against each other.
Personal Competence
Social Competence

The students can jointly solve specific problems.

Autonomy

The students are able to acquire relevant information from appropriate literature sources. They can control their level of knowledge during the lecture period by solving tutorial problems, software tools, clicker system.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement
Compulsory Bonus Form Description
Yes None Written elaboration
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Electrical Engineering: Core Qualification: Compulsory
Computational Science and Engineering: Specialisation II. Engineering Science: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Microelectronics and Microsystems: Core Qualification: Elective Compulsory
Course L0444: Digital Communications
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content
  • Digital modulation methods

  • Coherent and non-coherent detection

  • Channel estimation and equalization

  • Single-Carrier- and multi carrier transmission schemes, multiple access schemes (TDMA, FDMA, CDMA, OFDM)

Literature

K. Kammeyer: Nachrichtenübertragung, Teubner

P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner.

J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill.

S. Haykin: Communication Systems. Wiley

R.G. Gallager: Principles of Digital Communication. Cambridge

A. Goldsmith: Wireless Communication. Cambridge.

D. Tse, P. Viswanath: Fundamentals of Wireless Communication. Cambridge.

Course L0445: Digital Communications
Typ Recitation Section (large)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0646: Laboratory Digital Communications
Typ Practical Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Gerhard Bauch
Language DE/EN
Cycle WiSe
Content

- DSL transmission

- Random processes

- Digital data transmission

Literature

K. Kammeyer: Nachrichtenübertragung, Teubner

P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner.

J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill.

S. Haykin: Communication Systems. Wiley

R.G. Gallager: Principles of Digital Communication. Cambridge

A. Goldsmith: Wireless Communication. Cambridge.

D. Tse, P. Viswanath: Fundamentals of Wireless Communication. Cambridge.

Module M0836: Communication Networks

Courses
Title Typ Hrs/wk CP
Selected Topics of Communication Networks (L0899) Project-/problem-based Learning 2 2
Communication Networks (L0897) Lecture 2 2
Communication Networks Excercise (L0898) Project-/problem-based Learning 1 2
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Fundamental stochastics
  • Basic understanding of computer networks and/or communication technologies is beneficial
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to describe the principles and structures of communication networks in detail. They can explain the formal description methods of communication networks and their protocols. They are able to explain how current and complex communication networks work and describe the current research in these examples.

Skills

Students are able to evaluate the performance of communication networks using the learned methods. They are able to work out problems themselves and apply the learned methods. They can apply what they have learned autonomously on further and new communication networks.

Personal Competence
Social Competence

Students are able to define tasks themselves in small teams and solve these problems together using the learned methods. They can present the obtained results. They are able to discuss and critically analyse the solutions.

Autonomy

Students are able to obtain the necessary expert knowledge for understanding the functionality and performance capabilities of new communication networks independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Presentation
Examination duration and scale 1.5 hours colloquium with three students, therefore about 30 min per student. Topics of the colloquium are the posters from the previous poster session and the topics of the module.
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Specialisation Avionic Systems: Elective Compulsory
Computational Science and Engineering: Specialisation I. Computer Science: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L0899: Selected Topics of Communication Networks
Typ Project-/problem-based Learning
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Timm-Giel
Language EN
Cycle WiSe
Content Example networks selected by the students will be researched on in a PBL course by the students in groups and will be presented in a poster session at the end of the term.
Literature
  • see lecture
Course L0897: Communication Networks
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Timm-Giel, Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle WiSe
Content
Literature
  • Skript des Instituts für Kommunikationsnetze
  • Tannenbaum, Computernetzwerke, Pearson-Studium


Further literature is announced at the beginning of the lecture.

Course L0898: Communication Networks Excercise
Typ Project-/problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Andreas Timm-Giel
Language EN
Cycle WiSe
Content Part of the content of the lecture Communication Networks are reflected in computing tasks in groups, others are motivated and addressed in the form of a PBL exercise.
Literature
  • announced during lecture

Module M0837: Simulation of Communication Networks

Courses
Title Typ Hrs/wk CP
Simulation of Communication Networks (L0887) Project-/problem-based Learning 5 6
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Knowledge of computer and communication networks
  • Basic programming skills
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to explain the necessary stochastics, the discrete event simulation technology and modelling of networks for performance evaluation.

Skills

Students are able to apply the method of simulation for performance evaluation to different, also not practiced, problems of communication networks. The students can analyse the obtained results and explain the effects observed in the network. They are able to question their own results.

Personal Competence
Social Competence

Students are able to acquire expert knowledge in groups, present the results, and discuss solution approaches and results. They are able to work out solutions for new problems in small teams.

Autonomy

Students are able to transfer independently and in discussion with others the acquired method and expert knowledge to new problems. They can identify missing knowledge and acquire this knowledge independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Aircraft Systems Engineering: Specialisation Avionic Systems: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Course L0887: Simulation of Communication Networks
Typ Project-/problem-based Learning
Hrs/wk 5
CP 6
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Lecturer Prof. Andreas Timm-Giel, Dr.-Ing. Koojana Kuladinithi
Language EN
Cycle SoSe
Content

In the course necessary basic stochastics and the discrete event simulation are introduced. Also simulation models for communication networks, for example, traffic models, mobility models and radio channel models are presented in the lecture. Students work with a simulation tool, where they can directly try out the acquired skills, algorithms and models. At the end of the course increasingly complex networks and protocols are considered and their performance is determined by simulation.

Literature
  • Skript des Instituts für Kommunikationsnetze

Further literature is announced at the beginning of the lecture.

Module M0839: Traffic Engineering

Courses
Title Typ Hrs/wk CP
Seminar Traffic Engineering (L0902) Seminar 2 2
Traffic Engineering (L0900) Lecture 2 2
Traffic Engineering Exercises (L0901) Recitation Section (small) 1 2
Module Responsible Prof. Andreas Timm-Giel
Admission Requirements None
Recommended Previous Knowledge
  • Fundamentals of communication or computer networks
  • Stochastics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to describe methods for planning, optimisation and performance evaluation of communication networks.

Skills

Students are able to solve typical planning and optimisation tasks for communication networks. Furthermore they are able to evaluate the network performance using queuing theory.

Students are able to apply independently what they have learned to other and new problems. They can present their results in front of experts and discuss them.

Personal Competence
Social Competence
Autonomy

Students are able to acquire the necessary expert knowledge to understand the functionality and performance of new communication networks independently.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Networks: Elective Compulsory
Course L0902: Seminar Traffic Engineering
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Timm-Giel, Dr. Phuong Nga Tran
Language EN
Cycle WiSe
Content Selected applications of methods for planning, optimization, and performance evaluation of communication networks, which have been introduced in the traffic engineering lecture are prepared by the students and presented in a seminar.
Literature
  • U. Killat, Entwurf und Analyse von Kommunikationsnetzen, Vieweg + Teubner
  • further literature announced in the lecture
Course L0900: Traffic Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Andreas Timm-Giel, Dr. Phuong Nga Tran
Language EN
Cycle WiSe
Content

Network Planning and Optimization
• Linear Programming (LP)
• Network planning with LP solvers
• Planning of communication networks
Queueing Theory for Communication Networks
• Stochastic processes
• Queueing systems
• Switches (circuit- and packet switching)
• Network of queues

Literature

Literatur:
U. Killat, Entwurf und Analyse von Kommunikationsnetzen, Springer
Weitere Literatur wird in der Lehrveranstaltung bekanntgegeben
/
 Literature:
U. Killat, Entwurf und Analyse von Kommunikationsnetzen, Springer
further literature announced in the lecture

Course L0901: Traffic Engineering Exercises
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Andreas Timm-Giel
Language EN
Cycle WiSe
Content

Accompanying exercise for the traffic engineering course

Literature

Literatur:
U. Killat, Entwurf und Analyse von Kommunikationsnetzen, Springer
Weitere Literatur wird in der Lehrveranstaltung bekanntgegeben / Literature:
U. Killat, Entwurf und Analyse von Kommunikationsnetzen, Springer
further literature announced in the lecture

Focus Software and Signal Processing

Module M0738: Digital Audio Signal Processing

Courses
Title Typ Hrs/wk CP
Digital Audio Signal Processing (L0650) Lecture 3 4
Digital Audio Signal Processing (L0651) Recitation Section (large) 1 2
Module Responsible Prof. Udo Zölzer
Admission Requirements None
Recommended Previous Knowledge

Signals and Systems

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Die Studierenden können die grundlegenden Verfahren und Methoden der digitalen Audiosignalverarbeitung erklären. Sie können die wesentlichen physikalischen Effekte bei der Sprach- und Audiosignalverarbeitung erläutern und in Kategorien einordnen. Sie können einen Überblick der numerischen Methoden und messtechnischen Charakterisierung von Algorithmen zur Audiosignalverarbeitung geben. Sie können die erarbeiteten Algorithmen auf weitere Anwendungen im Bereich der Informationstechnik und Informatik abstrahieren.

Skills

The students will be able to apply methods and techniques from audio signal processing in the fields of mobile and internet communication. They can rely on elementary algorithms of audio signal processing in form of Matlab code and interactive JAVA applets. They can study parameter modifications and evaluate the influence on human perception and technical applications in a variety of applications beyond audio signal processing. Students can perform measurements in time and frequency domain in order to give objective and subjective quality measures with respect to the methods and applications.

Personal Competence
Social Competence

The students can work in small groups to study special tasks and problems and will be enforced to present their results with adequate methods during the exercise.

Autonomy

The students will be able to retrieve information out of the relevant literature in the field and putt hem into the context of the lecture. They can relate their gathered knowledge and relate them to other lectures (signals and systems, digital communication systems, image and video processing, and pattern recognition). They will be prepared to understand and communicate problems and effects in the field audio signal processing.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 45 min
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L0650: Digital Audio Signal Processing
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Udo Zölzer
Language EN
Cycle WiSe
Content
  • Introduction (Studio Technology,  Digital Transmission Systems, Storage Media, Audio Components at Home)

  • Quantization (Signal Quantization, Dither, Noise Shaping, Number Representation)

  • AD/DA Conversion (Methods, AD Converters, DA Converters, Audio Processing Systems, Digital Signal Processors, Digital Audio Interfaces, Single-Processor Systems, Multiprocessor Systems)

  • Equalizers (Recursive Audio Filters, Nonrecursive Audio Filters, Multi-Complementary Filter Bank)

  • Room Simulation (Early Reflections, Subsequent Reverberation, Approximation of Room Impulse Responses)

  • Dynamic Range Control (Static Curve, Dynamic Behavior, Implementation, Realization Aspects)

  • Sampling Rate Conversion (Synchronous Conversion, Asynchronous Conversion, Interpolation Methods)

  • Data Compression (Lossless Data Compression, Lossy Data Compression, Psychoacoustics, ISO-MPEG1 Audio Coding)

Literature

- U. Zölzer, Digitale Audiosignalverarbeitung, 3. Aufl., B.G. Teubner, 2005.

- U. Zölzer, Digitale Audio Signal Processing, 2nd Edition, J. Wiley & Sons, 2005.


- U. Zölzer (Ed), Digital Audio Effects, 2nd Edition, J. Wiley & Sons, 2011.


 






Course L0651: Digital Audio Signal Processing
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Udo Zölzer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0733: Software Analysis

Courses
Title Typ Hrs/wk CP
Software Analysis (L0631) Lecture 2 3
Software Analysis (L0632) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Basic knowledge of software-engineering activities
  • Discrete algebraic structures
  • Object-oriented programming, algorithms, and data structures
  • Functional programming or Procedural programming
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students apply the major approaches to data-flow analysis, control-flow analysis, and type-based analysis, along with their classification schemes, and employ abstract interpretation. They explain the standard forms of internal representations and models, including their mathematical structure and properties, and evaluate their suitability for a particular analysis. They explain and categorize the major analysis algorithms. They distinguish precise solutions from approximative approaches, and show termination and soundness properties. 

Skills

Presented with an analytical task for a software artifact, students select appropriate approaches from software analysis, and justify their choice. They design suitable representations by modifying standard representations. They develop customized analyses and devise them as safe overapproximations. They formulate analyses in a formal way and construct arguments for their correctness, behavior, and precision.

Personal Competence
Social Competence

Students discuss relevant topics in class. They defend their solutions orally. They communicate in English. 

Autonomy

Using accompanying on-line material for self study, students can assess their level of knowledge continuously and adjust it appropriately.  Working on exercise problems, they receive additional feedback. Within limits, they can set their own learning goals. Upon successful completion, students can identify and precisely formulate new problems in academic or applied research in the field of software analysis. Within this field, they can conduct independent studies to acquire the necessary competencies and compile their findings in academic reports. They can devise plans to arrive at new solutions or assess existing ones. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale software artifacts/mathematical write-ups; short presentation
Assignment for the Following Curricula Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Course L0631: Software Analysis
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content


  • Modeling: Control-Flow Modeling, Data Dependences, Intermediate Languages)
  • Classical Bit-Vector Analyses (Reaching Definition, Very Busy Expressions, Liveness, Available Expressions, May/Must, Forward/Backward)
  • Monotone Frameworks (Lattices, Transfer Functions, Ascending Chain Condition, Distributivity, Constant Propagation)
  • Theory of Data-Flow Analysis (Tarski's Fixed Point Theorem,  Data-Flow Equations, MFP Solution, MOP Solution, Worklist Algorithm)
  • Non-Classical Data-Flow Analyses
  • Abstract Interpretation (Galois Connections, Approximating Fixed Points, Construction Techniques)
  • Type Systems (Type Derivation, Inference Trees, Algorithm W, Unification)
  • Recent Developments of Analysis Techniques and Applications


Literature
  • Flemming Nielsen, Hanne Nielsen, and Chris Hankin. Principles of Program Analysis. Springer, 2nd. ed. 2005.
  • Uday Khedker, Amitabha Sanyal, and Bageshri Karkara. Data Flow Analysis: Theory and Practice. CRC Press, 2009.
  • Benjamin Pierce, Types and Programming Languages, MIT Press.
  • Selected research papers
Course L0632: Software Analysis
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0550: Digital Image Analysis

Courses
Title Typ Hrs/wk CP
Digital Image Analysis (L0126) Lecture 4 6
Module Responsible Prof. Rolf-Rainer Grigat
Admission Requirements None
Recommended Previous Knowledge

System theory of one-dimensional signals (convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems), linear algebra (Eigenvalue decomposition, SVD), basic stochastics and statistics (expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters), basics of Matlab, basics in optics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can

  • Describe imaging processes
  • Depict the physics of sensorics
  • Explain linear and non-linear filtering of signals
  • Establish interdisciplinary connections in the subject area and arrange them in their context
  • Interpret effects of the most important classes of imaging sensors and displays using mathematical methods and physical models.


Skills

Students are able to

  • Use highly sophisticated methods and procedures of the subject area
  • Identify problems and develop and implement creative solutions.

Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems.

Students are able to assess different solution approaches in multidimensional decision-making areas.

Students can undertake a prototypical analysis of processes in Matlab.


Personal Competence
Social Competence k.A.


Autonomy

Students can solve image analysis tasks independently using the relevant literature.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 Minutes, Content of Lecture and materials in StudIP
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0126: Digital Image Analysis
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Rolf-Rainer Grigat
Language EN
Cycle WiSe
Content
  • Image representation, definition of images and volume data sets, illumination, radiometry, multispectral imaging, reflectivities, shape from shading
  • Perception of luminance and color, color spaces and transforms, color matching functions, human visual system, color appearance models
  • imaging sensors (CMOS, CCD, HDR, X-ray, IR), sensor characterization(EMVA1288), lenses and optics
  • spatio-temporal sampling (interpolation, decimation, aliasing, leakage, moiré, flicker, apertures)
  • features (filters, edge detection, morphology, invariance, statistical features, texture)
  • optical flow ( variational methods, quadratic optimization, Euler-Lagrange equations)
  • segmentation (distance, region growing, cluster analysis, active contours, level sets, energy minimization and graph cuts)
  • registration (distance and similarity, variational calculus, iterative closest points)
Literature

Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011
Wedel/Cremers, Stereo Scene Flow for 3D Motion Analysis, Springer 2011
Handels, Medizinische Bildverarbeitung, Vieweg, 2000
Pratt, Digital Image Processing, Wiley, 2001
Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989

Module M0924: Software for Embedded Systems

Courses
Title Typ Hrs/wk CP
Software for Embdedded Systems (L1069) Lecture 2 3
Software for Embdedded Systems (L1070) Recitation Section (small) 3 3
Module Responsible Prof. Bernd-Christian Renner
Admission Requirements None
Recommended Previous Knowledge
  • Good knowledge and experience in programming language C
  • Basis knowledge in software engineering
  • Basic understanding of assembly language
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students know the basic principles and procedures of software engineering for embedded systems. They are able to describe the usage and pros of event based programming using interrupts. They know the components and functions of a concrete microcontroller. The participants explain requirements of real time systems. They know at least three scheduling algorithms for real time operating systems including their pros and cons.
Skills Students build interrupt-based programs for a concrete microcontroller. They build and use a preemptive scheduler. They use peripheral components (timer, ADC, EEPROM) to realize complex tasks for embedded systems. To interface with external components they utilize serial protocols.
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory
Course L1069: Software for Embdedded Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bernd-Christian Renner
Language DE/EN
Cycle SoSe
Content
  • General-Purpose Processors
  • Programming the Atmel AVR
  • Interrupts
  • C for Embedded Systems
  • Standard Single Purpose Processors: Peripherals
  • Finite-State Machines
  • Memory
  • Operating Systems for Embedded Systems
  • Real-Time Embedded Systems
  • Boot loader and Power Management
Literature
  1. Embedded System Design,  F. Vahid and T. Givargis,  John Wiley
  2. Programming Embedded Systems: With C and Gnu Development Tools, M. Barr and A. Massa, O'Reilly

  3. C und C++ für Embedded Systems,  F. Bollow, M. Homann, K. Köhn,  MITP
  4. The Art of Designing  Embedded Systems, J. Ganssle, Newnses

  5. Mikrocomputertechnik mit Controllern der Atmel AVR-RISC-Familie,  G. Schmitt, Oldenbourg
  6. Making Embedded Systems: Design Patterns for Great Software, E. White, O'Reilly

Course L1070: Software for Embdedded Systems
Typ Recitation Section (small)
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Bernd-Christian Renner
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0556: Computer Graphics

Courses
Title Typ Hrs/wk CP
Computer Graphics (L0145) Lecture 2 3
Computer Graphics (L0768) Recitation Section (small) 2 3
Module Responsible Prof. Tobias Knopp
Admission Requirements None
Recommended Previous Knowledge
  •  Linear Algebra (in particular matrix/vector computation)
  •  Basic programming skills in C/C++


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain and describe basic algorithms in 3D computer graphics.


Skills

Students are capable of

  •  implementing a basic 3D rendering pipeline. This consists of projecting simple 3D structures (e.g. cube, spheres) onto a 2D surface using a virtual camera.
  •  apply geometric transformations (e.g. rotation, scaling) in 2D and 3D computer graphics.
  •  using well-known 2D/3D APIs (OpenGL, Cairo) for solving a given problem statement.
Personal Competence
Social Competence

Students can collaborate in a small team on the realization and validation of a 3D computer graphics pipeline.



Autonomy
  •  Students are able to solve simple tasks independently with reference to the contents of the lectures and the exercise sets.
  •  Students are able to solve detailed problems independently with the aid of the tutorial’s programming task.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Course L0145: Computer Graphics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language EN
Cycle SoSe
Content

Computer graphics and animation are leading to an unprecedented visual revolution. The course deals with its technological foundations:

  • Object-oriented Computer Graphics
  • Projections and Transformations
  • Polygonal and Parametric Modelling
  • Illuminating, Shading, Rendering
  • Computer Animation Techniques
  • Kinematics and Dynamics Effects

Students will be be working on a series of mini-projects which will eventually evolve into a final project. Learning computer graphics and animation resembles learning a musical instrument. Therefore, doing your projects well and in time is essential for performing well on this course.

Literature
Alan H. Watt:
3D Computer Graphics.
Harlow: Pearson (3rd ed., repr., 2009).

Dariush Derakhshani:
Introducing Autodesk Maya 2014.
New York, NY : Wiley (2013).

Course L0768: Computer Graphics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0551: Pattern Recognition and Data Compression

Courses
Title Typ Hrs/wk CP
Pattern Recognition and Data Compression (L0128) Lecture 4 6
Module Responsible Prof. Rolf-Rainer Grigat
Admission Requirements None
Recommended Previous Knowledge

Linear algebra (including PCA, unitary transforms), stochastics and statistics, binary arithmetics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can name the basic concepts of pattern recognition and data compression.

Students are able to discuss logical connections between the concepts covered in the course and to explain them by means of examples.


Skills

Students can apply statistical methods to classification problems in pattern recognition and to prediction in data compression. On a sound theoretical and methodical basis they can analyze characteristic value assignments and classifications and describe data compression and video signal coding. They are able to use highly sophisticated methods and processes of the subject area. Students are capable of assessing different solution approaches in multidimensional decision-making areas.



Personal Competence
Social Competence

k.A.

Autonomy

Students are capable of identifying problems independently and of solving them scientifically, using the methods they have learnt.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 60 Minutes, Content of Lecture and materials in StudIP
Assignment for the Following Curricula Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory
Course L0128: Pattern Recognition and Data Compression
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Rolf-Rainer Grigat
Language EN
Cycle SoSe
Content

Structure of a pattern recognition system, statistical decision theory, classification based on statistical models, polynomial regression, dimension reduction, multilayer perceptron regression, radial basis functions, support vector machines, unsupervised learning and clustering, algorithm-independent machine learning, mixture models and EM, adaptive basis function models and boosting, Markov random fields

Information, entropy, redundancy, mutual information, Markov processes, basic coding schemes (code length, run length coding, prefix-free codes), entropy coding (Huffman, arithmetic coding), dictionary coding (LZ77/Deflate/LZMA2, LZ78/LZW), prediction, DPCM, CALIC, quantization (scalar and vector quantization), transform coding, prediction, decorrelation (DPCM, DCT, hybrid DCT, JPEG, JPEG-LS), motion estimation, subband coding, wavelets, HEVC (H.265,MPEG-H)

Literature

Schürmann: Pattern Classification, Wiley 1996
Murphy, Machine Learning, MIT Press, 2012
Barber, Bayesian Reasoning and Machine Learning, Cambridge, 2012
Duda, Hart, Stork: Pattern Classification, Wiley, 2001
Bishop: Pattern Recognition and Machine Learning, Springer 2006

Salomon, Data Compression, the Complete Reference, Springer, 2000
Sayood, Introduction to Data Compression, Morgan Kaufmann, 2006
Ohm, Multimedia Communication Technology, Springer, 2004
Solari, Digital video and audio compression, McGraw-Hill, 1997
Tekalp, Digital Video Processing, Prentice Hall, 1995

Module M1301: Software Testing

Courses
Title Typ Hrs/wk CP
Software Testing (L1791) Lecture 2 3
Software Testing (L1792) Project-/problem-based Learning 2 3
Module Responsible Prof. Sibylle Schupp
Admission Requirements None
Recommended Previous Knowledge
  • Software Engineering
  • Higher Programming Languages
  • Object-Oriented Programming
  • Algorithms and Data Structures
  • Experience with (Small) Software Projects
  • Statistics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Students explain the different phases of testing, describe fundamental
techniques of different types of testing, and paraphrase the basic
principles of the corresponding test process. They give examples of
software development scenarios and the corresponding test type and
technique. They explain algorithms used for particular testing
techniques and describe possible advantages and limitations.
Skills
Students identify the appropriate testing type and technique for a given
problem. They adapt and execute respective algorithms to execute a
concrete test technique properly. They interpret testing results and
execute corresponding steps for proper re-test scenarios. They write and
analyze test specifications. They apply bug finding techniques for
non-trivial problems.
Personal Competence
Social Competence

Students discuss relevant topics in class. They defend their solutions orally.
They communicate in English.

Autonomy

Students can assess their level of knowledge continuously and adjust it appropriately, based on feedback and on self-guided studies. Within limits, they can set their own learning goals. Upon successful completion, students can identify and precisely formulate new problems in academic or applied research in the field of software testing. Within this field, they can conduct independent studies to acquire the necessary competencies and compile their findings in academic reports. They can devise plans to arrive at new solutions or assess existing ones

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Subject theoretical and practical work
Examination duration and scale Software
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Software: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Course L1791: Software Testing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle SoSe
Content
  • Fundamentals of software testing
  • Model-based testing
  • Test automation
  • Criteria-based testing
Literature
  • M. Pezze and M. Young, Software Testing and Analysis, John Wiley 2008.
  • P. Ammann and J. Offutt, "Introduction to Software Testing", 2nd edition 2016.
  • A. Zeller: "Why Programs Fail: A Guide to Systematic Debugging", 2nd edition 2012.
Course L1792: Software Testing
Typ Project-/problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Schupp
Language EN
Cycle SoSe
Content
  • Fundamentals of software testing
  • Model-based testing
  • Test automation
  • Criteria-based testing
Literature
  • M. Pezze and M. Young, Software Testing and Analysis, John Wiley 2008.
  • P. Ammann and J. Offutt, "Introduction to Software Testing", 2nd edition 2015.

Module M1598: Image Processing

Courses
Title Typ Hrs/wk CP
Image Processing (L2443) Lecture 2 4
Image Processing (L2444) Recitation Section (small) 2 2
Module Responsible Prof. Tobias Knopp
Admission Requirements None
Recommended Previous Knowledge Signal and Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know about

  • visual perception
  • multidimensional signal processing
  • sampling and sampling theorem
  • filtering
  • image enhancement
  • edge detection
  • multi-resolution procedures: Gauss and Laplace pyramid, wavelets
  • image compression
  • image segmentation
  • morphological image processing
Skills

The students can

  • analyze, process, and improve multidimensional image data
  • implement simple compression algorithms
  • design custom filters for specific applications
Personal Competence
Social Competence

Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem.

Autonomy

Students are able to independently investigate a complex problem and assess which competencies are required to solve it. 

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Data Science: Core Qualification: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Course L2443: Image Processing
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content
  • Visual perception
  • Multidimensional signal processing
  • Sampling and sampling theorem
  • Filtering
  • Image enhancement
  • Edge detection
  • Multi-resolution procedures: Gauss and Laplace pyramid, wavelets
  • Image Compression
  • Segmentation
  • Morphological image processing
Literature

Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011
Pratt, Digital Image Processing, Wiley, 2001
Bernd Jähne: Digitale Bildverarbeitung - Springer, Berlin 2005

Course L2444: Image Processing
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Tobias Knopp
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1694: Security of Cyber-Physical Systems

Courses
Title Typ Hrs/wk CP
Security of Cyber-Physical Systems (L2691) Lecture 2 3
Security of Cyber-Physical Systems (L2692) Recitation Section (small) 2 3
Module Responsible Prof. Sibylle Fröschle
Admission Requirements None
Recommended Previous Knowledge

IT security, programming skills, statistics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students know and can explain 

- the threats posed by cyber attacks to cyber-physical systems (CPS)

- concrete attacks at a technical level, e.g. on bus systems

- security solutions specific to CPS with their capabilities and limitations

- examples of security architectures for CPS and the requirements they guarantee 

- standard security engineering processes for CPS

Skills

The students are able to

-  identify security threats and assess the risks for a given CPS

-  apply attack toolkits to analyse a networked control system, and detect attacks beyond those taught in class 

-  identify and apply security solutions suitable to the requirements

-  follow security engineering processes to develop a security architecture for a given CPS 

-  recognize challenges and limitations, e.g. posed by novel types of attack


Personal Competence
Social Competence

The students are able to

- expertly discuss security risks and incidents of CPS and their mitigation in a solution-oriented fashion with experts and non-experts

- foster a security culture with respect to CPS and the corresponding critical infrastructures 

Autonomy

The students are able to

- follow up and critically assess current developments in the security of CPS including relevant security incidents

- master a new topic within the area by self-study and self-initiated interaction with experts and peers.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Course achievement None
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
Course L2691: Security of Cyber-Physical Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language EN
Cycle WiSe
Content

Embedded systems in energy, production, and transportation are currently undergoing a technological transition to highly networked automated cyber-physical systems (CPS). Such systems are potentially vulnerable to cyber attacks, and these can have physical impact. In this course we investigate security threats, solutions and architectures that are specific to CPS. The topics are as follows: 

Fundamentals and motivating examples

Networked and embedded control systems 

    Bus system level attacks

    Intruder detection systems (IDS), in particular physics-based IDS

    System security architectures, including cryptographic solutions

Adversarial machine learning attacks in the physical world 

Aspects of Location and Localization

Wireless networks and infrastructures for critical applications 

    Communication security architectures and remaining threats 

    Intruder detection systems (IDS), in particular data-centric IDS

    Resilience against multi-instance attacks

Security Engineering of CPS: Process and Norms

Literature

Recent scientific papers and reports in the public domain. 

Course L2692: Security of Cyber-Physical Systems
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sibylle Fröschle
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Thesis

Module M-002: Master Thesis

Courses
Title Typ Hrs/wk CP
Module Responsible Professoren der TUHH
Admission Requirements
  • According to General Regulations §21 (1):

    At least 60 credit points have to be achieved in study programme. The examinations board decides on exceptions.

Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students can use specialized knowledge (facts, theories, and methods) of their subject competently on specialized issues.
  • The students can explain in depth the relevant approaches and terminologies in one or more areas of their subject, describing current developments and taking up a critical position on them.
  • The students can place a research task in their subject area in its context and describe and critically assess the state of research.


Skills

The students are able:

  • To select, apply and, if necessary, develop further methods that are suitable for solving the specialized problem in question.
  • To apply knowledge they have acquired and methods they have learnt in the course of their studies to complex and/or incompletely defined problems in a solution-oriented way.
  • To develop new scientific findings in their subject area and subject them to a critical assessment.
Personal Competence
Social Competence

Students can

  • Both in writing and orally outline a scientific issue for an expert audience accurately, understandably and in a structured way.
  • Deal with issues competently in an expert discussion and answer them in a manner that is appropriate to the addressees while upholding their own assessments and viewpoints convincingly.


Autonomy

Students are able:

  • To structure a project of their own in work packages and to work them off accordingly.
  • To work their way in depth into a largely unknown subject and to access the information required for them to do so.
  • To apply the techniques of scientific work comprehensively in research of their own.
Workload in Hours Independent Study Time 900, Study Time in Lecture 0
Credit points 30
Course achievement None
Examination Thesis
Examination duration and scale According to General Regulations
Assignment for the Following Curricula Civil Engineering: Thesis: Compulsory
Bioprocess Engineering: Thesis: Compulsory
Chemical and Bioprocess Engineering: Thesis: Compulsory
Computer Science: Thesis: Compulsory
Electrical Engineering: Thesis: Compulsory
Energy and Environmental Engineering: Thesis: Compulsory
Energy Systems: Thesis: Compulsory
Environmental Engineering: Thesis: Compulsory
Aircraft Systems Engineering: Thesis: Compulsory
Global Innovation Management: Thesis: Compulsory
Computational Science and Engineering: Thesis: Compulsory
Information and Communication Systems: Thesis: Compulsory
Interdisciplinary Mathematics: Thesis: Compulsory
International Management and Engineering: Thesis: Compulsory
Joint European Master in Environmental Studies - Cities and Sustainability: Thesis: Compulsory
Logistics, Infrastructure and Mobility: Thesis: Compulsory
Materials Science: Thesis: Compulsory
Mechanical Engineering and Management: Thesis: Compulsory
Mechatronics: Thesis: Compulsory
Biomedical Engineering: Thesis: Compulsory
Microelectronics and Microsystems: Thesis: Compulsory
Product Development, Materials and Production: Thesis: Compulsory
Renewable Energies: Thesis: Compulsory
Naval Architecture and Ocean Engineering: Thesis: Compulsory
Ship and Offshore Technology: Thesis: Compulsory
Teilstudiengang Lehramt Metalltechnik: Thesis: Compulsory
Theoretical Mechanical Engineering: Thesis: Compulsory
Process Engineering: Thesis: Compulsory
Water and Environmental Engineering: Thesis: Compulsory
Certification in Engineering & Advisory in Aviation: Thesis: Compulsory