Digitale Ökonomie ist der zielgerichtete Ansatz zur Befriedigung menschlicher Bedürfnisse unter Berücksichtigung von Knappheit durch den Einsatz von digitalen Informations- und Kommunikationstechnologien. Ziel des Seminars ist es, aktuelle digitalökonomische Fragestellungen und deren Bezug zur volkswirtschaftlichen Theorie zu diskutieren. Hierfür werden vorab ein aktuelles populärwissenschaftliches Buch (in Deutsch oder Englisch) sowie zugehörige Fachliteratur (in Englisch) gelesen. Anschließend werden im Seminar einzelne Themen durch die Studierenden vorgestellt und gemeinsam kritisch diskutiert. 

The course offers an introduction to the methods and techniques of online experiments used in experimental Economics, Psychology, and Business Administration. The course is targeted at participants with no or limited experience. It pursues the agenda of providing the practical, theoretical and tool knowledge to find a research question, deduce hypotheses and design and run an experiment. Hence, the focus will be on general methodological, design and process issues. The course is not surveying the existing experimental evidence but rather pinpoints towards selected well knowns experiments. We will follow a learning-by-doing approach. We will have a short introduction to data evaluation using non-parametric statistics as well as to relevant software tools (oTree). At the end of this course you will have gained not only the know-how needed to develop and implement an experimental research design online but you have also gained the basic skills required to gather, analyze and interpret experimental data.

Webster, M., & Sell, J. (Eds.). (2014). Laboratory experiments in the social sciences. Elsevier.

Digital:
In  diesem Modul verschaffen wir Ihnen in 3 intensiven Phasen - der Konzeption, Implementierung und Etablierung von Projekten - einen praxisorientierten Überblick über digitale Tools & Methoden, neue Geschäftsmodelle & Strategien, technologische Trends sowie rechtliche Aspekte. Das Ganze wird gefestigt mit praxisnahen Übungen, so dass Sie bereits im Laufe des Seminars ein eigenes Geschäftsmodell entwickeln und am Markt mit den richtigen Techniken testen.

Human Factors:
Mit praxisnahen Übungen lernen Sie die methodische Nutzerzentrierung durch den User-Centered Design Prozess kennen und erlernen, in welchen Projektphasen, welche UCD-Methoden sinnvoll anzuwenden sind. Darüber hinaus lernen Sie das Themengebiet „Human Factors“ kennen und verstehen, warum wir auch in der Digitalisierung von soziotechnischen Systemen sprechen, warum diese einen wichtigen Erfolgsfaktor darstellen und welche Phasen zur Integration der Prinzipien in die Organisationsstruktur eines Unternehmen durchlaufen werden müssen.

New Leadership:
Im Modul New Leadership lernen Sie einen neuen Führungsansatz kennen, der Sie dabei unterstützt die Herausforderungen der Digitalisierung zu meistern. Mithilfe der agilen Methodik und interaktiven Übungen erlernen Sie, wie Sie die Prinzipien des neuen Führungsansatzes verankern sowie das Empowerment und die Selbstorganisation des Teams steigern, um den Rahmen für innovatives Arbeiten zu schaffen.

Digital:

• Eine kurze Geschichte der Menschheit, Yuval Noah Harari
• 21 Lektionen für das 21. Jahrhundert, Yuval Noah Harari
• Eine kurze Geschichte der Digitalisierung, Martin Burckhardt
• Digitale Fabrik, Uwe Bracht, Dieter Geckler und Gigrid Wenzel
• Human Computer Interaction, R. Dix, Verlag: Pearson/Prentice Hall
• The Mom Test: How to Talk to Customers & Learn if Your Business is a Good Idea When Everyone is Lying to You, Rob Fitzpatrick
• Digitalisierungsstrategie entwickeln und umsetzen: Ein Praxisratgeber zur Entwicklung und Umsetzung der Digitalisierungsstrategie für die digitale Transformation, David Theil

Human Factors:

• Ergonomie der Mensch-System-Interaktion, DIN EN ISO 9241, Deutsches Institut für Normung
• Methoden der Usability Evalution: Wissenschaftliche Grundlagen und praktische Anwendung von Florian Sarodnic , Henning Brau, Verlag: Hogrefe AG
• Introduction to Human Factors Engineering von Christopher D. Wicken, Verlag: Pearson
• Sketching User Experiences von Bill Buxton, Verlag:mitp
• Rapid Contextual Design von Karen Holtzblatt, Verlag: Elsevier Science & Technology
• Wie User Testing in der Praxis wirklich funktioniert von M. Pirker, S. Rössler, M. Placho, A. Riedmüller, Verlag: Independently published (05.06.2019)
• Wie User Experience in der Praxis wirklich funktioniert von M. Pirker, S. Rössler, M. Placho, A. Riedmüller, Verlag: Independently published (27.02.2018)
• Schreckensberger, P., Schilbach, B., & Saier, T. (2015). Design Management: Zwischen Marken- & Produktsystemen (1. Aufl; P. Schreckensberger, Hrsg.). Norderstedt: Books on Demand.
• Goodwin, K. (2009). Designing for the digital age: How to create human-centered products and services. Wiley Pub.
• Haskins, B., Stecklein, J., Dick, B., Moroney, G., Lovell, R., & Dabney, J. (2014). Error Cost Escalation Through the Project Life Cycle. INCOSE International Symposium

New Leadership

• Pink, D. H. (2011). Drive: The surprising truth about what motivates us. Penguin.
• Sinek, S. (2009). Start with why: How great leaders inspire everyone to take action. Penguin.
• Doerr, J. (2018). Measure what matters: OKRs: The simple idea that drives 10x growth. Penguin UK.
• Darrell, K. R., Sutherland, J., & Takeuchi, H. (2016). Embracing agile. Harvard Business Review, 94(5), 41-50.
• Sutherland, J. (2015). Die Scrum-Revolution: Management mit der bahnbrechenden Methode der erfolgreichsten Unternehmen. Campus Verlag.
• Schwaber, K., & Sutherland, J. (2011). The scrum guide. Scrum Alliance, 21(1).
• Beck, K., Beedle, M., Van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., ... & Thomas, D. (2009). Agile manifesto, 2001. URL http://www. agilemanifesto. org.
• Takeuchi, H., & Nonaka, I. (1986). The new new product development game. Harvard business review, 64(1), 137-146.
• Medinilla, Á. (2012). Agile management: Leadership in an agile environment. Springer Science & Business Media.
• Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350−383.
• Edmondson, A. C. (2003). Managing the risk of learning: Psychological safety in work teams. In M. West, D. Tjosvold, & K.G. Smith (Eds.), International handbook of organizational teamwork and cooperative working (pp. 255−276). John Wiley & Sons.
• Harteis, C., Bauer, J., & Gruber, H. (2008). The culture of learning from mistakes: How employees handle mistakes in everyday work. International Journal of Educational Research, 47(4), 223−231.
  

Vorlesungsteile

• Objektive und subjektive Wahrnehmung in der  Wertung von Produkteigenschaften
• Auswirkungen von Material, Farbe, Formgebung und Struktur auf die Akzeptanz eines Produkts
• Ästhetische Funktion eines Produkts
• Fallbeispiele, fehlende Akzeptanz eines Produkts und deren möglichen Gründe

Seminarteile

• Identifizieren nicht-technischer Funktionen eines Produkte
• Identifizieren der subjektiven Einflüsse in der Produktentwicklung

Projektarbeiten

• Themen werden mit den Studierenden gemeinsam entwickelt. Die Arbeiten werden in Teams präsentiert, moderiert und bewertet

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.

Präsentationsfolien, Beispiele und Fallstudien aus der Lehrveranstaltung.

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

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.

1.       Course notes and materials provided before the lecture

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

Innovationen sind die wichtigsten Quellen des Wachstums in industrialisierten Ländern. Die Frage, wie Innovationen herbeigeführt und erfolgreich gestaltet werden können, nimmt in der Betriebswirtschaftslehre einen immer größeren Raum ein. In der Lehrveranstaltung Innovationsmanagement behandelt Prof. Herstatt  ausgewählte Aspekte und Themen im Zusammenhang mit strategischen, organisatorischen und Ressourcen-bezogenen Entscheidungen.

Die Veranstaltung Innovationsmanagement findet im üblichen Vorlesungsformat statt, ergänzt durch studentische Präsentationen sowie Gruppen- und Einzelarbeiten.

Themen

• Die Rolle der Innovation
• Die Entwicklung einer Innovationsstrategie
• Ideen: Wie sich Kreativität und Wissen managen lassen
• Priorisierung: Auswahl und Management des Portfolios
• Implementierung neuer Produkte, Prozesse und Dienstleistungen
• Menschen, Organisation und Innovation
• Wie sich die Innovationsperformance steigern lässt
• Die Zukunft des Innovationsmanagements

• 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

The course aims to provide students with an understanding of key issues in the management of innovation and development of the relevant skills needed to manage innovation at both strategic and operational levels. It provides evidence of different approaches based on leading research, real world examples and experiences of firms and organizations from around the world. The management of innovation is one of the most important and challenging aspects of modern organization. Innovation is a fundamental driver of competitiveness and it plays a large part in improving quality of life. Innovation, and particularly technological innovation, is inherently difficult, uncertain and risky, and most new technologies fail to be translated into successful products and services. Given this, it is essential that students understand the strategies, tools and techniques for managing innovation, which often requires a different set of management knowledge and skills from those employed in everyday business administration. The course itself draws upon research activities of the Innovation Management Group within TUHH, the Institute for Technology and Innovation Management (TIM, W-7, www.tuhh.de/tim)

Knowledge Objectives:
1. Understand definitions and concepts of innovation,
2. Explore major models and theories of innovation,
3. Use and apply tools for innovation management.

Skill Objectives:
1. Diagnostic and analytical skills,
2. Enhance verbal skills through class and syndicate discussions,
3. Build up critical and interpretation skills,
4. Learn how to evaluate different options,
5. Formulate and develop strategy,
6. Assess and resolve managerial challenges.

Learning Outcomes
At the end of the course students will be able to demonstrate understanding, and make critical assessments of the following:
1. Assess and interpret innovation processes,
2. Develop and formulate managerial strategies to shape innovative performance,
3. Utilize tools of innovation management to map and measure innovative activities,
4. Diagnose different innovation challenges and make recommendations for resolving them.

Course Outline - Lecture Topics:
1. The Management of (Technological) Innovation,
2. Strategy and Organization for Innovation,
3. Innovation of Products, Services and Business Models,
4. Managing the Innovation Process,
5. Networks, Communities of Innovators and Lead User-Innovation,
6. Innovation in the Age of Circular Economy (C2C),
7. Market-Research for Innovation and Design-thinking,
8. Capturing value from R&D, Open Innovation and IP,
9. Creativity and mindfulness in Innovation,
10. Conclusions and Future Challenges.

Wir werden wichtige Themen auf der Grundlage wichtiger Forschungsarbeiten im Bereich des Innovationsmanagements diskutieren (wird den Studierenden über StudIP zur Verfügung gestellt). Darüber hinaus umfasst die Grundlagenliteratur die folgenden Themen:
1. Dodgson, M. Gann, D. and Salter A. The management of technological innovation: strategy and practice. Oxford University Press, 2008.
2. Tidd, J., Bessant, J. and Pavitt, K.: Managing Innovation: Integrating technological, market and organizational change. 5th ed., John Wiley and Sons, 2013.
3. Goffin, K., Mitchell, R.: Innovation Management: Effective strategy and implementation. 3rd ed., Macmillan Education, 2016.

• 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

• 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

Most managerial decision problems require answers to questions such as “what happens to Y if we do X?”, or “was it X that caused Y to change?” In other words, practical business decision-making requires knowledge about cause-and-effect. While most data science and machine learning approaches are designed to efficiently detect patterns in high-dimensional data, they are not able to distinguish causal relationships from simple correlations. That means, commonly used approaches to business analytics often fall short to provide decision makers with important causal knowledge. Therefore, many leading companies currently try to develop specific causal data science capabilities. This module will provide an introduction into the topic of causal inference with the help of modern data science and machine learning approaches and with a focus on applications to practical business problems from various management areas. Based on an overarching framework for causal data science, the course will guide students to detect sources of confounding influence factors, understand the problem of selective measurement in data collection, and extrapolate causal knowledge across different business contexts. We also cover several tools for causal inference, such as A/B testing and experiments, difference-in-differences, instrumental variables, matching, regression discontinuity designs, etc. A variety of hands-on examples will be discussed that allow students to apply their newly obtained knowledge and carry out state-of-the-art causal analyses by themselves.

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.

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

• Leadership & its Environment - Führung & Führungsumfeld
• Motivation
• Lead Yourself - Selbstführung
• Leadership Theories & Styles - Führungstheorien und -stile
• Team Leadership - Team & Führung
• Lead Change - Wandel herbeiführen
• Operational Change - Veränderung im Unternehmen umsetzen
• Develop Leadership - Führungsworkshop

Czikszentmihalyi, Mihalyi (2014): Flow im Beruf oder Das Geheimnis des Glücks am Arbeitsplatz,
Klett-Cotta, 1. Auflage

Drucker, Peter F. (1999): Manage Oneself, Harvard Business School, On Managing Yourself, S.13-32

Dweck, Carol (2017): Selbstbild - Wie unser Denken Erfolge oder Niederlagen bewirkt, Piper-Verlag (engl. Original: Mindset - The new psychology of success)

Goleman, Daniel (2000): Leadership that gets results, Harvard Business School, On Managing People, S.1-14

Laloux, Frederic (2015): Reinventing Organizations, Verlag Franz Vahlen

McKee, Annie (2014): A focus on leaders, Pearson Education Ltd., 2. Auflage

Northouse, Peter G. (2019): Leadership - Theory & Practise, Sage Publications, 8. Auflage

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

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.

In der Veranstaltung werden aktuelles Wissen und Trends zum Projektmanagement behandelt:

    Projektmanagementkultur mit Lessons Learned, Optimierung von Theorie und Prozess       Projektmanagementtheorie gespiegelt an den Erfahrungen aus der Projektmanagementpraxis
    Entwicklung, Implementierung und Betrieb eines PM-Systems in kleinen und großen Firmen, z.B. Siemens
   Grundlagen des Projektmanagements (Kompetenzen, Methoden, Tools) werden geübt, z.B. EVA, MTA, KTA, FMEA, PDCA, MPM

Ziel ist die Information über aktuelle Herausforderungen im PM.

    Modernes agiles Projektmanagement in dynamischen Märkten
    Herausforderungen in bewegten Zeiten bestehen, Projektmanagement im VUCA- und BANI-Umfeld
    Beherrschen von Änderungen und Veränderungen
    Sicherung der Zukunft durch professionelles Agieren
    Sicherstellen von Gesundheit und Ergebnis in Job und Projekt

Mit den Themenschwerpunkten

    Projektmanagement in Industrie, KMU, Studium und privat
    Project Life Cycle, Prozess und Organisation, agil oder ‘agil‘
    Integrations-, Inhalts- und Umfangsmanagement, Umfeld- und Stakeholder Management
    Vertrags-, Risiko- und Änderungsmanagement
    Termin-, Kosten- und Personalmanagement
    Qualitätsmanagement, Erfolgsfaktoren im Projektumfeld
    Der menschliche Faktor, Unternehmenskultur
    Kommunikationsmanagement, Teamentwicklung, Führungstheorien

Projektmanagement wird als probates Mittel zur Aufgaben- und Problemlösung in privaten und beruflichen Umfeldern präsentiert. Projektmanagement wird immer mehr als agiles zielorientiertes Führungskonzept in Firmen und Betrieben genutzt. Den TeilnehmerInnen werden Kompetenzen und Lösungswege zur besseren Bewältigung ihrer Aufgaben vorgestellt. Die Anwendung des Projektmanagements kann bereits im Studium zur Verbesserung von Struktur, Kommunikation, Ergebnis führen und auf den Berufseinstieg vorbereiten. Die Vorlesung dient als  Basis für eine Projektmanagementzertifizierung bei den entsprechenden Zertifizierungsstellen wie z.B. GPM oder PMI, der Projektmanagementprozess wird gemäß den grundlegenden internationalen Projektmanagementstandards von IPMA und PMI und dem für die Praxis angepasstem Projektmanagementsystem von Siemens vorgestellt.

• PMI - PMBOK-Guide 7th Edition (A Guide to the Project Management Body of Knowledge) 2021
• GPM - Kompetenzbasiertes Projektmanagement (PM4) 2019
• Bea/Scheurer/Hesselmann - Projektmanagement 2019
• Kerzner, Harold - Projektmanagement 2022

Die Veranstaltung vermittelt die Grundlagen des Projektmanagements, wie es sowohl in technischen als auch in kaufmännischen Projekten angewandt wird. Inhaltlich abgerundet wird sie durch einen Exkurs zum Prozessmanagement. Zentrale Fragestellungen sind:

- Was macht ein Projekt aus und vor welche Herausforderungen stellt es die Beteiligten?

- Welche Methoden gibt es, um diesen Herausforderungen zu begegnen?

- Wie wurden die Methoden weiterentwickelt, um immer schnelleren Innovationszyklen gerecht zu werden? Was ist heute "state of the art"?

- Was wird von den einzelnen Projektmitgliedern erwartet? 

- Was unterscheidet Projekte von Prozessen? Wie werden letztere analysiert?

Die Methoden werden in der Veranstaltung nicht nur vermittelt, sondern unmittelbar in Gruppenarbeit angewendet. Damit werden die Teilnehmer befähigt, sich konstruktiv in Projekte einzubringen und später selbst Projekte zu gestalten und zu steuern. Da in Unternehmen immer mehr projektorientiert gearbeitet wird, stellt dies eine Schlüsselqualifikation dar.

Themenschwerpunkte sind dabei:

- Das "magische Dreieck" der Projektziele

- Typische Projektphasen

- Klassische Instrumente und Methoden (Projektstrukturplan, DEMI, Gantt-Diagramm)

- Projektorganisation und -steuerung

- Kommunikation und Arbeit im Team

- Agiles Vorgehen nach Scrum

- Prozessebenen und -kaskadierung

- Grundlagen der Prozessoptimierung

Die Veranstaltung ist so aufgebaut, dass die Teilnehmer mit überschaubarem zusätzlichen Aufwand eine Basiszertifizierung für Projektmanagement bei einer entsprechenden Zertifizierungsstellen (z.B. GPM Basiszertifikat) erwerben können.

Teile der Hausarbeit sind bereits Ergebnis der Gruppenarbeit im Seminar selbst. Sie soll 5-10 Seiten umfassen sowie einen Projektstrukturplan, der z.B. in Excel ausgearbeitet werden kann. Erwünscht ist, dass die Hausarbeit in Arbeitsgruppen erstellt wird. Der erwartete Umfang steigt dann an, jedoch nicht proportional zur Zahl der Arbeitsgruppenmitglieder (bei 4 Teilnehmern z.B. 15-20 Seiten).

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

• Auffrischung: Grundlagen des Rechts
• Fälle rechtlich relevanten Ingenieurshandelns: Vertragsrecht, Haftungsrecht - auch Produkthaftung,  Arbeitsrecht, Patentrecht, Gesellschaftsrecht 

Notwendiger Gesetzestext (in Klausur erlaubt):

Bürgerliches Gesetzbuch 72. Auflage , 2013  , dtv Beck-Texte  5001,  ISBN 978-3-406-65707-8

Empfohlene Gesetzestexte:Arbeitsgesetze 83. Auflage, 2013  dtv Beck-Texte  5006   ISBN 978-3-406-65689-7
Handelsgesetzbuch 54. Auflage, 2013   dtv Beck Texte  5002  ISBN 978-3-406-65083-3
Gesellschaftsrecht, 13. Auflage , 2013  dtv Beck Texte  5585   ISBN 978-3-406-64502-0
Wettbewerbsrecht, Markenrecht und Kartellrecht , 33. Auflage, 2013  dtv Beck Texte    ISBN 978-3-406-65212-7

Empfohlene Literatur: 

Vock, Willi,  Recht der Ingenieure, 1. Auflage 2012, Boorberg Verlag , ISBN-10:3-415-04535-8  --- EAN:9783415045354

Meurer Rechtshandbuch für Architekten und Ingenieure 1…Auflage  -- erscheint  Anfg 2014      Werner Verlag   ISBN 978-3-8041-4342-5
Eisenberg / Gildeggen / Reuter / Willburger  Produkthaftung 2. Auflage - erscheint Anfg 2014    Oldenbourg Verlag - ISBN 978-3-486-71324-4
ENDERS/HETGER, Grundzüge der betrieblichen Rechtsfragen, 4. Auflage, 2008 Richard Boorberg Verlag - ISBN 978-3-415-04005-2
Müssig, Peter,  Wirtschaftsprivatrecht,  15. Auflage, 2012 ,  C.F. Müller   UTB  - ISBN  978-3-81149476-3
Schade, Friedrich, Wirtschaftsprivatrecht,  2. Auflage 2009,  Kohlhammer - ISBN  978-3-17-021087-5 

Das Seminar behandelt in vertiefter und komprimierter Form fünf wesentliche Schwerpunkte des Patentrechts, nämlich die Patentierungsvoraussetzungen, das Anmeldeverfahren, Fragen der Inhaberschaft unter besonderer Berücksichtigung von Arbeitnehmererfindern, den Verletzungsprozess sowie den Lizenzvertrag und die sonstige wirtschaftliche Verwertung von Patenten.

Einer vorlesungsartigen Einführung in den Themenkreis durch den Referenten folgt eine vertiefte Auseinandersetzung der Teilnehmer mit dem Stoff durch die Anwendung im Rahmen von Gruppenarbeiten, die Vorstellung der Ergebnisse und anschließende Diskussion im Kreis der Seminarteilnehmer.

Die Vorlesung "Unternehmensberatung" vermittelt dem Studierenden komplementäres Wissen zum technischen und betriebswirtschaftlichen Studium. Die Studierenden lernen die Grundlagen der Beratung sowie das Zusammenwirken der Akteure (Agent-Prinzipal-Theorie) kennen und erhalten einen Überblick zum Beratungsmarkt. Darüber hinaus wird aufgezeigt, wie eine Unternehmensberatung funktioniert und welche methodischen Bausteine (Prozesse) notwendig sind, um ein Anliegen eines Klienten zu bearbeiten und einen Beratungsprozess durchzuführen. Anhand von praxisnahen Anwendungsbeispielen sollen die Studierenden einen Einblick in das breite Leistungsangebot der Managementberatung als auch der funktionalen Beratung erhalten. 

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

General description of course content and course goals

We negotiaate everday in privat and professional contexts. Leading negotiations successfully has a significant impact on future careers. Yet, we tend to have limited knowledge about the theory and empirical evidence regarding successful negotiating. Many people approach negotiations in a rather intuitive and unplanned way which often results in sub-optimal negotiation outcomes.

The purpose of this interactive and problem-based course is to theortically understand the strategies and process of negotiation as practiced in a variety of business-related settings (e.g. negotiations about working conditions, negotiations with customers and suppliers). The course will highlight the components of an effective negotiation (strategy, perparation, execution, evaluation) and offer the students the opportunity to analyze their own behavior in negotiations in order to improve.

The course structure is experiential and problem-based, combining lectures, class discussion, mini-cases and small erxercises, and more comprehensive negotiation practices in longer sessions. Through participation in negotiation exercises, students will have the opportunity to practice their communication and persuasion skills and to experiment with a variety of negotiating strategies and tactics. Students will apply the lessons learned to ongoing, real-world negotiations.

Content:

The students will find answers to the following fundamental questions of negotiation strategies in theory and practice:

• How do negotiations influence everyday life and business processes?
• What are key features of negotiations?
• What are different forms of negotiations? What kinds of negotiation can be distinguished?
• Which theoretical approaches to a theory of negotiation can be distinguished?
• How can game theory be applied to negotiation?
• What makes an effective negotiator?
• Which factors should be considered when planning negotiations?
• What steps must be followed to reach a deal?
• Are there specific negotiation tactics?
• What are the typical barriers to an agreement and how to deal with them?
• What are possible cognitive (mental) errors and how to correct them?

Knowledge

Students know...

• the theory basics of negotiations (e.g. game theory, behavioral theories)
  
• the types and the pros and cons of diffrent negotiation strategies
• the process of negotiation, inlcuding goal formulation, preparation/planning, execution and evaluation 
• about some key issues impacting negotiations (e.g. team building and roles, barriers to reaching a deal, cognitive biases, multi-phase negotiations)

Skills

Students are capable of...

• simultaneously considering multiple factors in negotiation situations and taking reasoned actions when preparing and conducting negotiations.
• Analyzing and handling the key challenges of uncertainty, risk, intercultural differences, and time pressure in realistic negotiation situations.
• assessing the typical barriers to an agreement (e.g. lack of trust), dealing with hardball tactics (e.g. good cop, bad cop; lowball, highball; intimidation), and avoiding cognitive traps (e.g. unchecked emotions, overconfidence).
• reflecting on their decision-making in uncertain negotiation situations and derive actions for future decisions.

Social Competence

Students can...

• provide appropriate feedback and handle feedback on their own performance constructively.
• constructively interact with their team members in role playing in negotiations sessions
• develop joint solutions in mixed teams and present them to others in real-world negotiation situatio
  

  Self-Reliance

  Students are able to...

  • assess possible consequences of their own negotiation behavior
  • define own positions and tasks in the negotiation preparation process.
  • justify and make elaborated decisions in authentic negotiation situations.
  
  
  

R.J. Lewicki / B. Barry / D.M. Saunders: Negotiation. Sixth Edition, McGraw-Hill, Boston, 2010.

H. Raiffa: Negotiation analysis. Belknap Press of Harvard Univ. Press, Cambridge, Mass, 2007.

R. Fisher / W. Ury: Getting to yes. Third edition. Penguin, New York, 2011.

M. Voeth / U. Herbst: Verhandlungsmanagement: Planung, Steuerung und Analyse. Schäffer-Poeschel, Stuttgart, 2009.

- Grundzüge des Deutschen Rechtssystems

- Grundbegriffe und Systematik des Zivil-, Handels-, Gesellschafts- und Arbeitsrechts mit spezifischen Schwerpunkten z.B. Versicherungsrecht

Unterschiedliche Gewalten, Organe und Handlungsformen der Gewalten

 Grundbegriffe und Grundstrukturen der Grundrechte, grundrechtsgleiche Rechte

Grundrechtsfähigkeit, objektive Funktionen und subjektiver Gewährleistungsgehalt von Grundrechten

Die Menschenwürde als Leitprinzip der Verfassung

Das allgemeine Persönlichkeitsrecht

Die allgemeine Handlungsfreiheit 

Vorrausgesetzt:

Eigene Ausgabe des Grundgesetzes (kostenlos bei der Landeszentrale für politische Bildung erhältlich)

• Theorien und Methoden des Projektmanagements
• Innovationsmanagement
• Agiles Projektmanagement
• Grundlagen agiler und klassischer Methoden
• Hybrider Einsatz klassischer und agiler Methoden  
• Rollen, Perspektiven und Stakeholder im Projektverlauf
• Initiierung und Koordination von komplexen Projekten im Ingenieurbereich
• Grundlagen Moderation, Teamsteuerung, Teamführung, Konfliktmanagement
• Kommunikationsstrukturen: betriebsintern, unternehmensübergreifend
• Öffentliche Informationspolitik
• Förderung von Commitment und Empowerment
• Erfahrungsaustausch mit Fach- und Führungskräften aus dem Ingenieurbereich
• Dokumentation und Reflexion von Lernerfahrungen

Seminarapparat

• Grundkonzepte, Chancen und Grenzen organisationalen Wandels 
• Modelle und Methoden der Organisationsgestaltung und -entwicklung
• Strategische Ausrichtung und Veränderung und deren kurz-, mittel- und langfristigen Konsequenzen für Individuum, Organisation und Gesellschaft
• Rollen, Perspektiven und Stakeholder in Veränderungsprozessen
• Initiierung und Koordinierung von Veränderungsmaßnahmen im Ingenieurbereich
• Phasen-Modelle des organisationalen Wandels (Lewin, Kotter etc.) 
• Veränderungsgerechte Informationspolitik und Umgang mit Widerständen und Unsicherheit 
• Förderung von Commitment und Empowerment
• Erfolgreicher Umgang mit Change und Transformation: persönlich, als Mitarbeiterin bzw. Mitarbeiter, als Führungskraft (persönlich, professional, organisational)
• Unternehmen und Globe (systemisch)
• Erfahrungsaustausch mit Fach- und Führungskräften aus dem Ingenieurbereich
• Dokumentation und Reflexion von Lernerfahrungen

Onboarding Betrieb

• Zuweisung berufliches Tätigkeitsfeld als Ingenieurin bzw. Ingenieur (B.Sc.) und dazugehöriger Arbeitsbereiche
• Festlegung der Zuständigkeiten und Befugnisse des dual Studierenden im Betrieb als Ingenieurin bzw. Ingenieur (B.Sc.)
• Eigenverantwortliches Arbeiten im Team und ausgewählten Projekten - bereichs- und ggf. unternehmensübergreifend
• Ablaufplanung des aktuellen Praxismoduls mit klarer Zuordnung zu den Arbeitsstrukturen 
• Ablaufplanung der Prüfungsphase/nächstes Studiensemester

Betriebliches Wissen und betriebliche Fertigkeiten

• Unternehmensspezifika: Verantwortung als Ingenieurin bzw. Ingenieur (B.Sc.) im eigenen Arbeitsbereich, Koordination von Team- und Projektarbeit, Umgang mit komplexen Zusammenhängen und ungelösten Problemstellungen, Entwicklung und Realisierung von Innovationen
• Fachliche Spezialisierung (korrespondierend mit dem gewählten Studiengang (M.Sc.) im Tätigkeitsfeld
• Systemische Fertigkeiten
• Umsetzung der hochschulseitigen Anwendungsempfehlungen (Theorie-Praxis-Transfer) in damit korrespondierenden Arbeits- und Aufgabenbereichen des Betriebes 

Lerntransfer/-reflexion

• Anlegen E-Portfolio
• Bedeutung der Studieninhalte (M.Sc.) für die Arbeit als Ingenieurin bzw. Ingenieur
• Bedeutung von Entwicklung und Innovation für die Arbeit als Ingenieurin bzw. Ingenieur 
• Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

• Studierendenhandbuch
• Betriebliche Dokumente
• Hochschulseitige Handlungsempfehlungen zum Theorie-Praxis-Transfer

• Introduction to information theory and coding
• Definitions of information: Self information, entropy
• Binary entropy function
• Source coding theorem
• Entropy of continuous random variables: Differential entropy, differential entropy of uniformly and Gaussian distributed random variables
• Source coding
  • Principles of lossless source coding
  • Optimal source codes
  • Prefix codes, prefix-free codes, instantaneous codes
  • Morse code
  • Huffman code
  • Shannon code
  • Bounds on the average codeword length
  • Relative entropy, Kullback-Leibler distance, Kullback-Leibler divergence
  • Cross entropy
  • Lempel-Ziv algorithm
  • Lempel-Ziv-Welch (LZW) algorithm
  • Text compression and image compression using variants of the Lempel-Ziv algorithm
• Channel models
  • AWGN channel
  • Binary-input AWGN channel
  • Binary symmetric channel (BSC)
  • Relationship between AWGN channel and BSC
  • Binary error and erasure channel (BEEC)
  • Binary erasure channel (BEC)
  • Discrete memoryless channels (DMC)
• Definitions of information for multiple random variables
  • Mutual information and channel capacity
  • Entropy, conditional entropy
  • Chain rules for entropy and mutual information
• Channel coding theorem
• Channel capacity of fundamental channels: BSC, BEC, AWGN channel, binary-input AWGN channel etc.
• Power-limited vs. bandlimited transmission
• Capacity of parallel AWGN channels
  • Waterfilling
  • Examples: Multiple input multiple output (MIMO) channels, complex equivalent baseband channels, orthogonal frequency division multiplex (OFDM)
• Source-channel coding theorem, separation theorem
• Multiuser information theory
  • Multiple access channel (MAC)
  • Broadcast channel
  • Principles of multiple access, time division multiple access (TDMA), frequency division multiple access (FDMA), non-orthogonal multiple access (NOMA), hybrid multiple access
  • Achievable rate regions of TDMA and FDMA with power constraint, energy constraint, power spectral density constraint, respectively
  • Achievable rate region of the two-user and K-user multiple access channels
  • Achievable rate region of the two-user and K user broadcast channels
  • Multiuser diversity
• Channel coding
  • Principles and types of channel coding
  • Code rate, data rate, Hamming distance, minimum Hamming distance, Hamming weight, minimum Hamming weight
  • Error detecting and error correcting codes
  • Simple block codes: Repetition codes, single parity check codes, Hamming code, etc.
  • Syndrome decoding
  • Representations of binary data
  • Non-binary symbol alphabets and non-binary codes
  • Code and encoder, systematic and non-systematic encoders
  • Properties of Hamming distance and Hamming weight
  • Decoding spheres
  • Perfect codes
  • Linear codes
  • Decoding principles
    • Syndrome decoding
    • Maximum a posteriori probability (MAP) decoding and maximum likelihood (ML) decoding
    • Hard decision and soft decision decoding
    • Log-likelihood ratios (LLRs), boxplus operation
    • MAP and ML decoding using log-likelihood ratios
    • Soft-in soft-out decoders
  • Error rate performance comparison of codes in terms of SNR per info bit vs. SNR per code bit
  • Linear block codes
    • Generator matrix and parity check matrix, properties of generator matrix and parity check matrix
    • Dual codes
  • Low density parity check (LDPC) codes
    • Sparse parity check matrix
    • Tanner graphs, cycles and girth
    • Degree distributions
    • Code rate and degree distribution
    • Regular and irregular LDPC codes
    • Message passing decoding
      • Message passing decoding in binary erasure channels (BEC)
      • Systematic encoding using erasure message passing decoding
      • Message passing decoding in binary symmetric channels (BSC)
        • Extrinsic information
        • Bit-flipping decoding
        • Effects of short cycles in the Tanner graph
        • Alternative bit-flipping decoding
        • Soft decision message passing decoding: Sum product decoding
      • Bit error rate performance of LDPC codes
    • Repeat accumulate codes and variants of repeat accumulate codes
    • Message passing decoding and turbo decoding of repeat accumulate codes
  • Convolutional codes
    • Encoding using shift registers
    • Trellis representation
    • Hard decision and soft decision Viterbi decoding
    • Bit error rate performance of convolutional codes
    • Asymptotic coding gain
    • Viterbi decoding complexity
    • Free distance and optimum convolutional codes
    • Generator polynomial description and octal description
    • Catastrophic convolutional codes
    • Non-systematic and recursive systematic convolutional (RSC) encoders
    • Rate compatible punctured convolutional (RCPC) codes
    • Hybrid automatic repeat request (HARQ) with incremental redundancy
    • Unequal error protection with punctured convolutional codes
    • Error patterns of convolutional codes
  • Concatenated codes
    • Serial concatenated codes
    • Parallel concatenated codes, Turbo codes
    • Iterative decoding, turbo decoding
    • Bit error rate performance of turbo codes
    • Interleaver design for turbo codes
  • Coded modulation
    • Principle of coded modulation
    • Achievable rates with PSK/QAM modulation
    • Trellis coded modulation (TCM)
    • Set partitioning
    • Ungerböck codes
    • Multilevel coding
    • Bit-interleaved coded modulation

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.

Onboarding Betrieb

• Zuweisung berufliches Tätigkeitsfeld als Ingenieurin bzw. Ingenieur (B.Sc.) und dazugehöriger Arbeitsbereiche
• Festlegung der Zuständigkeiten und Befugnisse des dual Studierenden im Betrieb als Ingenieurin bzw. Ingenieur (B.Sc.)
• Eigenverantwortliches Arbeiten im Team und ausgewählten Projekten - im bereichs- und ggf. unternehmensübergreifend
• Ablaufplanung des aktuellen Praxismoduls mit klarer Zuordnung zu den Arbeitsstrukturen 
• Ablaufplanung der Prüfungsphase/nächstes Studiensemester

Betriebliches Wissen und betriebliche Fertigkeiten

• Unternehmensspezifika: Verantwortung als Ingenieurin bzw. Ingenieur (B.Sc.) im eigenen Arbeitsbereich, Koordination von Team- und Projektarbeit, Umgang mit komplexen Zusammenhängen und ungelösten Problemstellungen, Entwicklung und Realisierung von Innovationen
• Fachliche Spezialisierung (korrespondierend mit dem gewählten Studiengang (M.Sc.) im Tätigkeitsfeld
• Systemische Fertigkeiten
• Umsetzung der hochschulseitigen Anwendungsempfehlungen (Theorie-Praxis-Transfer) in damit korrespondierenden Arbeits- und Aufgabenbereichen des Betriebes 

Lerntransfer/-reflexion

• Fortschreiben E-Portfolio
• Bedeutung der Studieninhalte (M.Sc.) für die Arbeit als Ingenieurin bzw. Ingenieur
• Bedeutung von Entwicklung und Innovation für die Arbeit als Ingenieurin bzw. Ingenieur 
• Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

• Studierendenhandbuch
• Betriebliche Dokumente
• Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

Current research topics of the chosen specialization.

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

Onboarding Betrieb

• Zuweisung zukünftiges berufliches Tätigkeitsfeld als Ingenieurin bzw. Ingenieur (M.Sc.) und dazugehöriger Arbeitsbereiche
• Erweiterung der Zuständigkeiten und Befugnisse des dual Studierenden im Betrieb bis hin zur vorgesehenen Erstverwendung nach dem Studium 
• Verantwortliches Arbeiten im Team; Projektverantwortung im eigenen Zuständigkeitsbereich ggf. auch bereichs- und unternehmensübergreifend
• Ablaufplanung des letzten Praxismoduls mit klarer Zuordnung zu den Arbeitsstrukturen 
• Betriebsinterne Abstimmung über eine potenzielle Problemstellung oder ein Innovationsvorhaben für die Masterarbeit
• Ablaufplanung der Masterarbeit im Betrieb in der Zusammenarbeit mit der TU Hamburg  
• Ablaufplanung der Prüfungsphase/nächstes Studiensemester

Betriebliches Wissen und betriebliche Fertigkeiten

• Unternehmensspezifika: Umgang mit Veränderungen, Projekt- und Teamentwicklung, Verantwortung als Ingenieurin bzw. Ingenieur im zukünftigen Arbeitsbereich (M.Sc.), Umgang mit komplexen Zusammenhängen, häufigen und unvorhersehbaren Veränderungen, Entwicklung und Realisierung von Innovationen
• Fachliche Spezialisierung in einem Arbeitsbereich (Abschlussarbeit)
• Systemische Fertigkeiten
• Umsetzung der hochschulseitigen Anwendungsempfehlungen (Theorie-Praxis-Transfer) in damit korrespondierenden Arbeits- und Aufgabenbereichen des Betriebes 

Lerntransfer/-reflexion

• E-Portfolio
• Bedeutung von Studieninhalten und der eigenen Spezialisierung für die Arbeit als Ingenieurin bzw. Ingenieur
• Bedeutung von Forschung und Innovation für die Arbeit als Ingenieurin bzw. Ingenieur 
• Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

• Studierendenhandbuch
• betriebliche Dokumente
• Hochschulseitige Anwendungsempfehlungen zum Theorie-Praxis-Transfer

• Repetition: Baseband Transmission
  • Pulse shaping: Non-return to zero (NRZ) rectangular pulses, raised-cosine pulses, square-root raised-cosine pulses
  • Power spectral density (psd) of baseband signals
  • Intersymbol interference (ISI)
  • First and second Nyquist criterion
  • AWGN channel
  • Matched filter
  • Matched-filter receiver and correlation receiver
  • Noise whitening matched filter
  • Discrete-time AWGN channel model
• Representation of bandpass signals and systems in the equivalent baseband
  • Quadrature amplitude modulation (QAM)
  • Equivalent baseband signal and system
  • Analytical signal
  • Equivalent baseband random process, equivalent baseband white Gaussian noise process
  • Equivalent baseband AWGN channel
  • Equivalent baseband channel model with frequency-offset and phase noise
  • Equivalent baseband Rayleigh fading and Rice fading channel models
  • Equivalent baseband frequency-selective channel model
  • Discrete memoryless channels (DMC)
• Bandpass transmission via carrier modulation
  • Amplitude modulation, frequency modulation, phase modulation
  • Linear digital modulation methods
    • On-off keying, M-ary amplitude shift keying (M-ASK), M-ary phase shift keying (M-PSK), M-ary quadrature amplitude modulation (M-QAM), offset-QPSK
    • Signal space representation of transmit signal constellations and signals
    • Energy of linear digital modulated signals, average energy per symbol
    • Power spectral density of linear digital modulated signals
    • Bandwidth efficiency
    • Correlation coefficient of elementary signals
    • Error probabilities of linear digital modulation methods
      • Error functions
      • Gray mapping and natural mapping
      • Bit error probabilities, symbol error probabilities, pairwise symbol error probabilities
      • Euclidean distance and Hamming distance
      • Exact and approximate computation of error probabilities
      • Performance comparison of modulation schemes in terms of per bit SNR vs. per symbol SNR
    • Hierarchical modulation, multilevel modulation
    • Effects of carrier phase offset and carrier frequency offset
    • Differential modulation
      • M-ary differential phase shift keying (M-PSK)
      • Coherent and non-coherent detection of DPSK
      • p/M-differential phase shift keying (p/M-DPSK)
      • Differential amplitude and phase shift keying (DAPSK)
  • Non-linear digital modulation methods
    • Frequency shift keying (FSK)
    • Modulation index
    • Minimum shift keying (MSK)
      • Offset-QPSK representation of MSK
      • MSK with differential precoding and rotation
      • Bit error probabilities of MSK
      • Gaussian minimum shift keying (GMSK)
      • Power spectral density of MSK and GMSK
    • Continuous phase modulation (CPM)
      • General description of CPM signals
      • Frequency pulses and phase pulses
    • Coherent and non-coherent detection of FSK
  • Performance comparison of linear and non-linear digital modulation methods
• Frequency-selective channels, ISI channels
  • Intersymbol interference and frequency-selectivity
  • RMS delay spread
  • Narrowband and broadband channels
  • Equivalent baseband transmission model for frequency-selective channels
  • Receive filter design
• Equalization
  • Symbol-spaced and fractionally-spaced equalizers
  • Inverse system
  • Non-recursive linear equalizers
    • Linear zero-forcing (ZF) equalizer
    • Linear minimum mean squared error (MMSE) equalizer
  • Non-linear equalization:
    • Decision feedback equalizer (DFE)
    • Tomlinson-Harashima precoding
  • Maximum a posteriori probability (MAP) and maximum likelihood equalizer, Viterbi algorithm
• Single-carrier vs. multi-carrier transmission
• Multi-carrier transmission
  • General multicarrier transmission
  • Orthogonal frequency division multiplex (OFDM)
    • OFDM implementation using the Fast Fourier Transform (FFT)
    • Cyclic guard interval
    • Power spectral density of OFDM
    • Peak-to-average power ratio (PAPR)
• Multiple access
  • Principles of time division multiple access (TDMA), frequency division multiple access (FDMA), code division multiple access (CDMA), non-orthogonal multiple access (NOMA), hybrid multiple access
• Spread spectrum communications
  • Direct sequence spread spectrum communications
  • Frequency hopping
  • Protection against eavesdropping
  • Protection against narrowband jammers
  • Short vs. long spreading codes
  • Direct sequence spread spectrum communications in frequency-selective channels
    • Rake receiver
  • Code division multiple access (CDMA)
    • Design criteria of spreading sequences, autocorrelation function and crosscorrelation function of spreading sequences
    • Intersymbol interference (ISI) and multiple access interference (MAI)
    • Pseudo noise (PN) sequences, maximum length sequences (m-sequences), Gold codes, Walsh-Hadamard codes, orthogonal variable spreading factor (OVSF) codes
    • Multicode transmission   
    • CDMA in uplink and downlink of a wireless communications system
    • Single-user detection vs. multi-user detection

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.

- DSL-Übertragung

- Stochastische Prozesse

- Digitale Datenübertragung

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.

• see lecture

• Skript des Instituts für Kommunikationsnetze
• Tannenbaum, Computernetzwerke, Pearson-Studium

Further literature is announced at the beginning of the lecture.

• announced during lecture

- Antennen: Berechnungsgrundlagen - Kenngrößen - Verschiedene Antennenformen

- Funkwellenausbreitung

- Sender: Leistungserzeugung mit Röhren - Sendeverstärker

- Empfänger: Vorverstärker - Überlagerungsempfang - Empfangsempfindlichkeit - Rauschen

- Ausgewählte Systembeispiele

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

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 LTE, LTE Advanced, and 5G New Radio.

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. Second Edition, Pearson, 2013

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

Erik Dahlman, Stefan Parkvall, Johan Sköld: 5G NR - The Next Generation Wireless Access Technology. Second Edition, Academic Press, 2021

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.

• Skript des Instituts für Kommunikationsnetze

Further literature is announced at the beginning of the lecture.

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

• WLAN sytems
  
• 5G systems
• Millimeter wave communication
• Visible light communication
  
• Cooperative Multipoint
• Massive MIMO
• Massive machine-type communication
  
• Interference cancellation
• Non-orthogonal multiple access
• Heterogeneous networks
• ...
  

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:

- Near Field Communication (NFC)
- ZigBee / IEEE 802.15.4
- Bluetooth
- IEEE 802.11 family

- L-band Digital Aeronautical Communication System (LDACS)
- Long Term Evolution (LTE) and LTE Advanced
- 5G New Radio

A special focus is placed on 4th and 5th generation networks; in particular, an in-depth view into the technical principles of the 5G New Radio standard is given.

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

Erik Dahlman, Stefan Parkvall, Johan Sköld: 5G NR - The Next Generation Wireless Access Technology. Second Edition, Academic Press, 2021

• 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)

- 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.

• 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

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.

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.

• Information extraction from communication signals
  • Time-of-arrival principle
    • Ranging in additive white Gaussian noise (AWGN) channel
    • Correlation-based range estimation
    • Effect of multipath propagation on time-of-arrival principle
    • Zero-forcing range estimation in the presence of multipath
    • Optimum range estimation in the presence of multipath
    • Zero-forcing in presence of noise
  • Angle-of-arrival principle
    • Angle-of-arrival estimation in AWGN channel
    • Delay-and-sum estimator
    • Multiple Signal Classifier (MUSIC)
    • MUSIC-based angle-of-arrival estimation
    • Case study: Comparison of estimators in AWGN channels
    • Effect of multipath propagation on angle-of-arrival principle
    • Case study: Comparison of estimators in multipath channels
• Information fusion of extracted signals 
  • Distance-based positioning
    • Principle of time-of-arrival positioning
    • Geometric interpretation
    • Positioning in the absence of noise
    • Linearization of the positioning problem
    • Positioning in the presence of noise
    • Optimality criteria
    • Least squares time-of-arrival positioning
    • Maximum likelihood time-of-arrival positioning
    • Interactive Matlab demo
    • Excursion: gradient descent solvers for nonlinear programs
    • Real-life positioning with embedded development board (Arduino)
    • Linearized least squares time-of-arrival positioning
    • Effect of clock offsets on distance-based positioning
    • Time-difference-of-arrival principle
    • Least squares time-difference-of-arrival positioning
    • Clock offset mitigation via two-way ranging
  • Performance limits of distance-based positioning
    • Fisher information and the Cramér-Rao lower bound
    • Fisher information in the AWGN case
    • Multi-variate Fisher information
    • Cramér-Rao lower bound for synchronized time-of-arrival positioning
    • Case study: Synchronized time-of-arrival positioning
    • Cramér-Rao lower bound for unsynchronized time-of-arrival positioning
    • Case study: Unsynchronized time-of-arrival positioning
  • Angle-based Positioning
    • Angle-of-arrival positioning principle
    • Geometric interpretation angle-of-arrival positioning principle
    • Noise-free angle-of-arrival positioning with known orientation
    • Effect of noise on angle-of-arrival positioning
    • Least squares angle-of-arrival positioning with known orientation
    • Linear least squares angle-of-arrival positioning
    • Effect of orientation uncertainty
    • Angle-difference-of-arrival positioning
    • Geometric interpretation angle difference of arrival positioning
    • Proof of angle-difference-of-arrival locus
    • Inscribed angle lemma
    • Case study: Angle-difference-of-arrival-positioning
  • Performance limits of angle-based positioning
    • Cramér-Rao lower bound for angle-of-arrival positioning with known orientation
    • Case study: Angle-of-arrival positioning with known orientation
• Information Filtering
  • Bayesian filtering
    • Principle of Bayesian filtering
    • General Problem Formulation
    • Solution to the linear Gaussian case
    • State transition in the linear Gaussian case
    • Proof of predicted posterior distribution of the Kalman filter
    • State update in the linear Gaussian case
    • Proof of marginal posterior distribution of the Kalman filter
    • Working with Gaussian random variables
      • Proof: Affine transformation
      • Proof: Marginalization
      • Proof: Conditioning
    • Kalman filter: Optimum Inference in the linear Gaussian case
    • Modeling of process noise
    • Modeling of measurement noise
    • Case study: Kalman filtering in the linear Gaussian case
    • Interactive Kalman filtering in Matlab
    • Dealing with nonlinearities in Bayesian filtering
    • Nonlinear Gaussian case
    • Extended Kalman filter
    • Proof of predicted posterior distribution of the extended Kalman filter
    • Proof of marginal posterior distribution of the extended Kalman filter
    • Example: Nonlinear state transition
    • Case study: Extended Kalman filtering
    • Practical considerations for filter design

• Satellite Navigation
  • Overview from positioning perspective
    • Earth-centered earth-fixed (ECEF) coordinate system
    • World geodetic system (WGS)
    • Satellite navigation systems
    • System-receiver clock offsets and pseudo-ranges
    • Unsynchronized time-of-arrival positioning revisited
  • GPS legacy signals and ranging
    • Signal overview
    • Time-of-arrival principle revisited
    • Direct sequence spread spectrum principle
    • Short and long codes
    • Satellite signal generation
    • Carriers and codes
    • Correlation properties of codes
    • Code division multiple access in flat fading channels
    • Navigation message
  • Velocity estimation
  • Hands-on case study: Design of an extended Kalman filter for satellite navigation based on recorded data

• Robust navigation
  • Multipath-assisted positioning in millimeter wave multiple antenna systems
  • Multi-sensor fusion 

• Introduction to satellite communications
  • What is a satellite
  • Overview orbits, Van Allen Belt, components of a satellite
  • Satellite services
  • Frequency bands for satellite services
  • International Telecommunications Union (ITU)
  • Influence of atmospheric impairments
  • Milestones in satellite communications
• Components of a satellite communications system
  • Ground segment
  • Space segment
  • Control segment
• Communication links
  • Uplink, downlink
  • Forward link, reverse link
  • Intersatellite links
  • Multiple access
  • Performance measures
    • Effective isotropic radiated power (EIRP), antenna gain, figure of merit, G/T, carrier to noise ratio
    • Signal to noise power ratio vs. carrier to noise ratio
• Single beam and multibeam satellites
  • Beam coverage
  • Examples for beam coverage of LEO and GEO satellites (Iridium, Viasat)
• Transparent vs. regenerative payload

• Orbits
  • Low earth orbot (LEO), medium earth orbit (MEO), geosynchroneous and geostationary orbits (GEO), highly elliptical orbits (HEO
  • Favourable orbits:
    • HEO orbits with 63-64^o inclination, Molnya and Tundra orbits
    • Circular LEO orbits
    • Circular MEO Orbits (Intermediate Circular Orbits (ICO))
    • Equatorial orbits, geostationary orbit (GEO)
  • Important aspects of LEO, MEO and GEO satellites
• Kepler’s laws of planetary motion
• Gravitational force
• Parameters of ellipses and elliptical orbits
  • Major and minor half axis
  • Foci
  • Eccentricity
  • Eccentric anomaly, mean anomaly, true anomaly
  • Area
  • Orbit period
  • Perigee, apogee
  • Distance of satellite from center of earth
  • Construction of ellipses according to de La Hire
  • Orbital plane in space, inclination, right ascension (longitude) of ascending node, Vernal equinox
• Newton’s laws of motion
• Newton’s universal law of gravitation

• Energy of satellites: Potential energy, kinetic energy, total energy
• Instantaneous speed of a satellite
• Kepler’s equation
• Satellite visibility, elevation
• Required number of LEO, MEO or GEO satellites for continuous earth coverage
• Satellite altitude and distance from a point on earth

• Choice of orbits
  • LEO, HEO, GEO
  • Elliptical orbits with non-zero inclination, Molnya orbits, Tundra orbits
  • Geosynchronous orbits
    • Parameters of geosynchronous orbits
    • Circular geosynchronous orbits
    • Inclined geosynchronous orbits
    • Quasi-zenith satellite systems (QZSS)
    • Syb-synchronous circular equatorial orbits
    • Geostationary orbit
      • Parameters of the geostationary orbit
      • Visibility
      • Propagation delay
      • Applications and system examples

• Perturbations of orbits
  • Station keeping
    • Station keeping box
    • Estimation of orbit parameters

• Fundamentals of digital communications techniques
  • Components of a digital communications system
  • Principles of encryption
  • Scrambling
  • Scrambling vs. interleaving for randomization of data sequences
  • Interleaving: Block interleaver, convolutional interleaver, random interleaver
  • Digital modulation methods
    • Linear and non-linear digital modulation methods
    • Linear digital modulation methods
      • QAM modulator and demodulator
      • Pulse shaping, square-root raised-cosine pulses
      • Average power spectral density
      • Signal space constellation
      • Examples: M-ary phase shift keying (M-PSK), M-ary quadrature amplitude shift keying (M-QAM)
      • M-PSK in noisy channels
      • Bit error probabilities of M-PSK and M-QAM
      • M-PSK vs. M-QAM
      • M-ary amplitude and phase shift keying (M-APSK)
      • M-APSK vs. M-QAM
      • Differential phase shift keying (DPSK)

Error control coding (channel coding)

• Error detecting and forward error correcting (FEC) codes
• Principle of channel coding
• Data rate, code rate, Baud rate, spectral efficiency of modulation and coding schemes
• Bandwidth-power trade-off, bandwidth-limited vs. power-limited transmission
• Coding and modulation for transparent vs. regenerative payload
• Block codes and convolutional codes
• Concatenated codes
• Bit-interleaved coded modulation
• Convolutional codes
• Low density parity check (LDPC) codes, principle of message passing decoding, bit error rate performance
• Cyclic block codes
  • Examples for cyclic block codes
  • Single errors vs. block errors, cyclic block codes for burst errors
  • Generator matrix, generator polynomials
  • Systematic encoding and syndrome determination with shift registers
  • Cyclic redundancy check (CRC) codes

• Automatic repeat request (ARQ)
  • Principle of ARQ
  • Stop-and-wait ARQ
  • Go-back-N ARQ
  • Selective-repeat ARQ
• Transmission gains and losses
  • Antenna gain
    • Antenna radiation pattern
    • Maximum antenna gain, 3dB beamwidth
    • Maximum antenna gain of circular aperture
    • Maximum antenna gain of a geostationary satellite with global coverage
  • Effective isotropic radiated power (EIRP)
  • Power flux density
  • Path loss
    • Free space loss, free space loss for geostationary satellites
    • Atmospheric loss
    • Received power
  • Losses in transmit and receive equipment
    • Feeder loss
    • Depointing loss
    • Polarization mismatch loss
  • Combined effect of losses
• Noise
  • Origins of noise
  • White noise
  • Noise power spectral density and noise power
  • Additive white Gaussian noise (AWGN) channel model
  • Antenna noise temperature
  • Earth brightness temperature
  • Signal to noise ratios
• Atmospheric distortions
  • Atmosphere of the earth: Troposphere, stratosphere, mesosphere, thermosphere, exosphere
  •  Attenuation and depolarization due to rain, fog, rain and ice clouds, sandstorms
  • Scintillation
  • Faraday effect
  • Multipath contributions
• Link budget calculations
  • GEO clear sky uplink and downlink
  • GEO uplink and downlink under rain conditions
  • Transparent vs. regenerative payload
• Link availability improvement through site diversity and adaptive transmission
  • Transparent vs. regenerative payload
    • Non-linear amplifiers
      • Saleh model, Rapp model
      • Input and output back-off factor
    • Single carrier and multicarrier operation
    • Dimensioning of transmission parameters
    • Sources of noise: Thermal noise, interference, intermodulation products
    • Signal to noise ratio and bit error probability
    • Robustness against interference and non-linear channels

• Satellite networks
  • Satellite network reference architectures
  • Network topologies
  • Network connectivity
    • Types of network connectivity
    • On-board connectivity
    • Inter-satellite links
  • Broadcast networks
  • Satellite-based internet

• Satellite communications systems and standards examples
  • The role of standards in satellite communications
  • The Digital Video Broadcast Satellite Standard: DVB-S, DVB-S2, DVB-S2X
  • Satellites in 3GPP mobile communications networks
  • LEO megaconstellations: SpaceX Starlink, Kuiper, OneWeb
  • Space debris
  • The German Heinrich Hertz mission

Wang, M. (2015). Industrial Tomography. Cambridge, UK: Woodhead Publishing. 

Available as e-book in the library of TUHH: https://katalog.tub.tuhh.de/Record/823579395

Content: The module focuses primarily on discussing established imaging techniques including (a) optical and infrared imaging, (b) magnetic resonance imaging, (c) X-ray imaging and tomography, and (d) ultrasound imaging and also covers a range of more recent imaging modalities. The students will learn:

1. what these imaging techniques can measure (such as sample density or concentration, material transport, chemical composition, temperature),
2. how the measurements work (physical measurement principles, hardware requirements, image reconstruction), and
3. how to determine the most suited imaging methods for a given problem.

Learning goals: After the successful completion of the course, the students shall:

1. understand the physical principles and practical aspects of the most common imaging methods,
2. be able to assess the pros and cons of these methods with regard to cost, complexity, expected contrasts, spatial and temporal resolution, and based on this assessment
3. be able to identify the most suited imaging modality for any specific engineering challenge in the field of chemical and bioprocess engineering.

Wang, M. (2015). Industrial Tomography. Cambridge, UK: Woodhead Publishing. 

Available as e-book in the library of TUHH: https://katalog.tub.tuhh.de/Record/823579395

• Visuelle Wahrnehmung
• Mehrdimensionale Signalverarbeitung
• Abtastung und Abtasttheorem
• Filterung
• Bildverbesserung
• Kantendetektion
• Mehrfachauflösende Verfahren: Gauss- und Laplace-Pyramide, Wavelets
• Bildkompression
• Segmentierung
• Morphologische Bildverarbeitung

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

• • Model checking (bounded model checking, CTL, LTL)
    

  • Real-time model checking (TCTL, timed automata)
    
  • Deductive verification (Hoare logic)
  • Tool support
  • Recent developments of verification techniques and applications
  
  

• 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

• 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

• 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
  

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

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

• Fundamentals of software testing
  
• Model-based testing
• Test automation
• Criteria-based testing
  

• 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.

• Fundamentals of software testing
  
• Model-based testing
• Test automation
• Criteria-based testing
  

• M. Pezze and M. Young, Software Testing and Analysis, John Wiley 2008.
• P. Ammann and J. Offutt, "Introduction to Software Testing", 2nd edition 2015.
  
  

• Secure software development processes and maturity models
• Techniques to define security requirements
• Techniques to create, document and analyse the design of secure applications
• Threat and risk analysis techniques
• Security code reviews
• Program repair techniques for security vulnerabilities
• Privacy engineering

Sindre, G. and Opdahl, A.L., 2005. Eliciting security requirements with misuse cases. Requirements engineering, 10(1), pp.34-44.

Fontaine, P.J., Van Lamsweerde, A., Letier, E. and Darimont, R., 2001. Goal-oriented elaboration of security requirements.

Mead, N.R. and Stehney, T., 2005. Security quality requirements engineering (SQUARE) methodology. ACM SIGSOFT Software Engineering Notes, 30(4), pp.1-7.

Mirakhorli, M., Shin, Y., Cleland-Huang, J. and Cinar, M., 2012, June. A tactic-centric approach for automating traceability of quality concerns. In 2012 34th international conference on software engineering (ICSE) (pp. 639-649). IEEE.

Jürjens, J., UMLsec: Extending UML for secure systems development, International Conference on The Unified Modeling Language, 2002 

Lund, M.S., Solhaug, B. and Stølen, K., 2011. A guided tour of the CORAS method. In Model-Driven Risk Analysis (pp. 23-43). Springer, Berlin, Heidelberg.

Howard, M.A., 2006. A process for performing security code reviews. IEEE Security & privacy, 4(4), pp.74-79

Diaz, C. and Gürses, S., 2012. Understanding the landscape of privacy technologies. Proceedings of the information security summit, 12, pp.58-63.

• Secure software development processes and maturity models
• Techniques to define security requirements
• Techniques to create, document and analyse the design of secure applications
• Threat and risk analysis techniques
• Security code reviews
• Program repair techniques for security vulnerabilities
• Privacy engineering

This module provides a comprehensive knowledge in modern cryptography and how it plays a key role in securing the digital world we live in today. We will thoroughly treat cryptographic primitives such as symmetric and asymmetric encryption schemes, cryptographic hash functions, message authentication codes, and digital signatures. Moreover, we will cover aspects of practical deployment such as key management, public key infrastructures, and secure storage of keys. We will see how everything comes together in applications such as the ubiquitous security protocols of the Internet (e.g. TLS and WPA3) and/or the Internet-of-things. We also discuss current challenges such as the need for post-quantum cryptography.

Introduction to Modern Cryptography, Third Edition, Jonathan Katz and Jehuda Lindell, Chapman & Hall/CRC, 2021

Sicherheit und Kryptographie im Internet, 5th Edition, Jörg Schwenk, Springer-Verlag, 2020

This lecture discusses modern Internet-based distributed systems in three blocks: (i) Cloud computing, (ii) the Internet of Things, and (iii) blockchain technologies. The following topics will be covered in the single lectures:

• Cloud Computing
• Elastic Computing
• Technologies for identification for the IoT: RFID & EPC
• Communication in the IoT: Standards and protocols
• Security and trust in the IoT: Concerns and solution approaches
• Edge and Fog Computing
• Application areas: Smart factories, smart cities, smart healthcare
• Blockchain technologies 
• Consensus 

This project-/problemoriented part of the module augments the theoretical content of the lecture by a concrete technical problem, which needs to be solved by the students in group work during the semester. Possible topics are (blockchain-based) sensor data integration, Big Data processing, Cloud-based redundant data storages, and Cloud-based Onion Routing.

Will be discussed in the lecture.

• General-Purpose Processors
• Programming the Atmel AVR
• Interrupts
• C für Embedded Systems
• Standard Single Purpose Processors: Peripherals
• Finite-State Machines
• Speicher
• Betriebssystem für Eingebettete Systeme
• Echtzeit Eingebettete Systeme
  

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

• From Rule-Based Systems to Machine Learning
  • Brief overview recent advances in ML in various domain
  • Outline and expected learning outcomes
  • Basics statistical inference and statistics
  • Basics of information theory
• The Notions of Learning in Machine Learning
  • Unsupervised and supervised machine learning
  • Model-based and data-driven machine learning
  • Hybrid modelling
  • Online/offline/meta/transfer learning
  • General loss functions
• Introduction to Deep Learning
  • Variants of neural networks
  • MLP
  • Conv. neural networks
  • Recurrent neural networks
  • Training neural networks
  • (Stochastic) Gradient Descent
• Regression vs. Classification
  • Classification as supervised learning problem
  • Hands-On Session
• Representation Learning and Generative Models
  • AutoEncoders
  • Directed Generative Models
  • Undirected Generative Models
  • Generative Adversarial Neural Networks
• Probabilistic Graphical Models
  • Bayesian Networks
  • Variational inference (variational autoencoder)

Electromagnetic Compatibility (EMC) Engineering deals with design, simulation, measurement, and certification of electronic and electric components and systems in such a way that their operation is safe, reliable, and efficient in any possible application. Safety is hereby understood as safe with respect to parasitic effects of electromagnetic fields on humans as well as on the operation of other components and systems nearby. Examples for components and systems range from the wiring in aircraft and ships to high-speed interconnects in server systems and wirless interfaces for brain implants. In this part of the course we will give an introduction to the physical basics of EMC engineering and then show how methods of Machine Learning (ML) can be applied to expand todays physcis-based approaches in EMC Engineering.

• Supervised Learning Application - Channel Coding
  • Recap channel coding and block codes
  • Block codes as trainable neural networks
  • Tanner graph with trainable weights
  • Hands-on session
• Supervised Learning Application - Modulation Detection
  • Recap wireless modulation schemes
  • Convolutional neuronal networks for blind detection of modulation schemes
  • Hands-on session
• Autoencoder Application - Constellation Shaping I
  • Recap channel capacity and constellation shaping, 
  • Capacity achieving machine learning systems
  • Information theoretical explanation of the autoencoder training
  • Hands-on session
• Autoencoder Application - Constellation Shaping II
  • Training without a channel model
  • Mutual information neural estimator
  • Hands-on session
• Generative Adversarial Network Application - Channel Modelling
  • Recap realistic channels with non-linear hardware impairments
  • Training a digital twin of a realistic channel with insufficient training data
  • Hands-on session
• Recurrent Neural Network Application - Channel prediction
  • Recap time-varying channel models
  • Recurrent neural networks for temporal prediction
  • Hands-on session