Program description
Content
Microelectronics, or better named nanoelectronics, because the minimum structure size of state-of-the-art integrated electronic circuits are in the range of 20 nm and below, is the base of the products that significantly influence the daily life of people almost anywhere on earth. Examples are personal computers and smartphones. Both of them open up new possibilities of communication and give access to almost unlimited sources of information, especially when those devices are connected to the world wide web. Another example are medical diagnostic tools for computer tomography or nuclear resonance tomography or intelligent medical implants as all these systems are based on the high computational performance and high data communication efficiency provided by advanced nanoelectronics.
The fundament for microelectronics and microsystems is semiconductor physics and technology. Thus, the objective of the International Master Program “Microelectronics and Microsystems” is to give the students a profound knowledge on physical level about electronic effects in semiconductor materials, especially silicon, and on the functionality of electronic devices. Furthermore, the students are taught about process technology for fabrication of integrated circuits and microsystems. This will enable the students to understand in depth the function of advanced electronic devices and fabrication processes. They will be able to comprehend in a critical way the problems accompanied with the transition to smaller minimum structure sizes. Thus, the students can conceive which possible solutions may exist or could be developed to overcome the problems of scaling-down the device minimum feature size. This will enable the students to understand the ongoing scaling-down of MOS transistors with its potential but also with its limitations.
Besides the essential role of physical basics the precise knowledge of process dependent manufacturing procedures are of key importance for training of the students in the field of nanoelectronics and microsystems. This will help them to develop during their professional life the ability to generate innovative concepts and bring them to practical applications.
The International Master Program “Microelectronics and Microsystems” qualifies the students for scientific professional work in the fields of electrical engineering and information technology. This professional work may extend from the development, production and application to the quality control of complex systems with highly integrated circuits and microsystems components. Both fields are coming closer and closer together, as a fast rising number of complex applications requires the integration of nanoelectronics and microsystems to one combined system.
In particular, this program enables the students not only to design new complex systems for innovative applications, but also to make them usable for practical applications. This can be realized by teaching the students engineering methods both on a physical and theoretical level and on an application oriented level.
In addition to the foundational curriculum taught at TUHH, seminars on developing personal skills are integrated into the dual study programme, in the context of transfer between theory and practice. These seminars correspond to the modern professional requirements expected of an engineer, as well as promoting the link between the two places of learning.
The intensive dual courses at TUHH integrating practical experience consist of an academic-oriented and a practice-oriented element, which are completed at two places of learning. The academic-oriented element comprises study at TUHH. The practice-oriented element is coordinated with the study programme in terms of content and time, and consists of practical modules and phases spent in an affiliate company during periods when there are no lectures.
Career prospects
The graduates of the International Master Program “Microelectronics and Microsystems” can find a wide variety of professional options as they have well founded knowledge about technology, design and application of highly integrated systems based on nanoelectronics and microsystems.
Thus, one group of possible employers are large companies with international sites for the production of integrated circuits, but also small or medium-sized companies for microsystems. Many job opportunities also exist in the field of development and design of integrated circuits and of microsystems. Because of the fast decline in prices of high-performance computer system, even small companies can conduct tasks that require many computational efforts such as the design of integrated circuits that, then, are fabricated by specialized companies, so-called silicon foundries. This allows many small companies to participate in the market for integrated circuits, so that they can contribute to a good job market for engineers in nanoelectronics and microsystems.
In addition, students acquire basic professional and personal skills as part of the dual study programme that enable them to enter professional practice at an early stage and to go on to further study. Students also gain practical work experience through the integrated practical modules. Graduates of the dual course have broad foundational knowledge, fundamental skills for academic work and relevant personal competences.
Learning target
Knowledge
- The students understand the basic physical principles of microelectronic devices and functional block of microsystems. Furthermore, they have solid knowledge regarding fabrication technologies, so that they can explain them in detail.
- They have gained solid knowledge in selected fields based on a broad theoretical and methodical fundament.
- The students possess in-depth knowledge of interdisciplinary relationships.
- They have the required background knowledge in order to position their professional subjects by appropriate means in the scientific and social environment.
Skills
The students are able
- to apply computational methods for quantitative analysis of design parameters and for development of innovative systems for microelectronics and microsystems.
- to solve complex problems and tasks in a self-dependent manner by basic methodical approaches that may be, if necessary, beyond the standard patterns
- to consider technological progress and scientific advancements by taking into account the technical, financial and ecological boundary conditions.
Social Skills
The students are capable of
- working in interdisciplinary teams and organizing their tasks in a process oriented manner to become prepared for conducting research based professional work and for taking management responsibilities.
- to present their results in a written or oral form effectively targeting the audience, on international stage also.
Autonomy
- The students can pervade in an effectively and self-dependently organized way special areas of their professional fields using scientific methods.
- They are able to present their knowledge by appropriate media techniques or to describe it by documents with reasonable lengths.
- The students are able to identify the need for additional information and to develop a strategy for self-dependent enhancement of their knowledge.
By continually switching places of learnings throughout the dual study programme, it is possible for theory and practice to be interlinked. Students reflect theoretically on their individual professional practical experience, and apply the results of their reflection to new forms of practice. They also test theoretical elements of the course in a practical setting, and use their findings as a stimulus for theoretical debate.
Program structure
The curriculum of the International Master Program „Microelectronics and Microsystems“ is structured as follows:
- Core Qualification:
- Main subject: The students choose one main subject out of the following two options:
The students have to take for their main subjects moduls totaling 18 CPs (1. - 3. semester).
- Master thesis with 30 CP (4. semester)
The sum of required credit points of this Master program is 150 CP.
The structural model of the dual study programme follows a module-differentiating approach. Given the practice-oriented element, the curriculum of the dual study programme is different compared to a standard Bachelor’s course. Five practical modules are completed at the dual students’ partner company as part of corresponding practical terms during lecture-free periods.
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 |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Depends on choice of courses |
Credit points | 6 |
Course L3065: Current Issues in Digital Economics B&M |
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 | Dr. Christina Strobel |
Language | DE |
Cycle | WiSe |
Content |
Digital economics is the targeted approach to meeting human needs in the face of scarcity based on the use of digital information and communication technologies. The goal of the seminar is to discuss current issues in digital economics and their underlying economic theory. To do so, students will read a current popular science book (in German or English) as well as the relevant scientific literature (in English) prior to the seminar. During the seminar, individual topics will be presented by the students and critically discussed. |
Literature |
Course L2993: Current issues in behavioral economics |
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. Timo Heinrich | |
Language | EN | |
Cycle |
WiSe/ |
|
Content |
|
|
Literature | Wird noch bekanntgegeben. |
Course L2860: Behavioral Online Experiments |
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 | 5-seitige Ausarbeitung & 20-minütige Teampräsentation |
Lecturer | Dr. Christina Strobel |
Language | EN |
Cycle | SoSe |
Content |
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. |
Literature |
Webster, M., & Sell, J. (Eds.). (2014). Laboratory experiments in the social sciences. Elsevier. |
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 | Robert Damköhler, Laura Noack |
Language | DE |
Cycle | SoSe |
Content |
Digital: Human Factors: New Leadership: |
Literature |
Digital:
Human Factors:
New Leadership
|
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
Seminar
Project Work
|
Literature | Wird in der Veranstaltung angegeben |
Course L2348: Drivers of Success for Projects |
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 | Dr. Alexander Kuhlicke, Stephan Meier |
Language | DE |
Cycle | WiSe |
Content | |
Literature |
Course L3123: Organizational Design for Innovation and Collaboration |
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. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
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/ |
Content |
Topics:
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 |
|
Course L3093: Innovation Management (EN) |
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 | NN |
Lecturer | Dr. Vytaute Dlugoborskyte |
Language | EN |
Cycle | SoSe |
Content |
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: Skill Objectives: Learning Outcomes Course Outline - Lecture Topics: |
Literature |
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: |
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 |
|
Literature |
|
Course L3060: Causal Data Science for Business Analytics |
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 | Mehrere schriftliche Ausarbeitungen über das Semester hinweg verteilt |
Lecturer | Oliver Mork |
Language | EN |
Cycle | WiSe |
Content |
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. |
Literature |
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
Skills Based on the acquired knowledge students will be able to:
Social Competence The students will be able to
Self-reliance The students will be able to
|
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 L3140: Sustainable corporate governance in practice |
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 | 60 Minuten |
Lecturer | Stefan Klebert |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Course L3125: Open and Collaborative Innovation |
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. Tim Schweisfurth |
Language | EN |
Cycle | SoSe |
Content | |
Literature |
Course L2350: Operational 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 |
Czikszentmihalyi, Mihalyi (2014): Flow im Beruf oder Das Geheimnis des Glücks am Arbeitsplatz, 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 Robbins, Stephen P., Coulter, Mary, Fischer, Ingo (2014): Management - Grundlagen der Unternehmensführung, , Pearson Deutschland GmbH, 12. Auflage (engl. Original: Management, 2007, Pearson Prentice Hall, 9. Auflage) |
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:
|
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 | Schriftliche Ausarbeitung |
Examination duration and scale | Gruppenarbeit: Erstellung eines Poster sowie eines Aufgabenblatts (inkl. Lösungen) |
Lecturer | Dipl.-Ing. Wilhelm Radomsky |
Language | DE |
Cycle | WiSe |
Content |
The event will cover current knowledge and trends in project management: Basics of project management (competences, methods, tools) are practised, e.g. EVA, MTA, KTA, FMEA, PDCA, MPM The aim is to inform about current challenges in PM. Modern agile project management in dynamic markets With the main topics Project management in industry, SMEs, studies and private life Project management is presented as a proven means of solving tasks and problems in private and professional environments. Project management is increasingly used as an agile goal-oriented leadership concept in companies and businesses. The participants are presented with competences and solutions to better cope with their tasks. The application of project management can already lead to an improvement of structure, communication and results during studies and prepare for the start of a career. The lecture serves as a basis for project management certification with the corresponding certification bodies such as GPM or PMI. The project management process is presented according to the basic international project management standards of IPMA and PMI and the Siemens project management system adapted for practical use. |
Literature |
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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:
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:
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/ |
Content | |
Literature |
Course L1133: Law for Engineers |
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 Minuten |
Lecturer | Markus A. Meyer-Chory |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
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 Empfohlene Literatur: Meurer Rechtshandbuch für Architekten und Ingenieure 1…Auflage -- erscheint Anfg 2014 Werner Verlag ISBN 978-3-8041-4342-5 |
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 | 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 L2982: Startup Engineering |
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, Dr. Hannes Lampe |
Language | EN |
Cycle | WiSe |
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/ |
Content | |
Literature |
Course L2295: Strategic Planning with Simulation Games |
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 L2669: Negotiation Management |
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 | Vorbereitung, Durchführung und Selbstreflektion zu einer simulierten Verhandlungssituation. Die fiktive Verhandlung hat einen Umfang von 4 ½ Präsenzstunden und erfordert ausführliche Vor- und Nachbereitung im Umfang von ca. 3 x 2 Stunden. Zum Abschluss ist ein Reflektionsbericht einzureichen. Weitere Prüfungsleistungen werden im Rahmen von Lernfortschrittsabfragen entlang der Vorlesung erbracht. |
Lecturer | Prof. Christian Lüthje |
Language | EN |
Cycle | WiSe |
Content |
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:
Knowledge Students know...
Skills Students are capable of...
Social Competence Students can...
|
Literature |
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. |
Course L1132: Civil- & Business Law |
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 Minuten |
Lecturer | Markus A. Meyer-Chory |
Language | DE |
Cycle | SoSe |
Content |
- Basics of German Law System - Basic concepts and Systematics of Civil-, Commercial-, Companies- and Labor Law by specific bullet points, i.e. Insurance law, etc.
|
Literature |
folgt im Seminar |
Course L1381: Public and Constitutional Law |
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 | 2 Stunden |
Lecturer | Klaus-Ulrich Tempke |
Language | DE |
Cycle |
WiSe/ |
Content |
Different areas of public law; proceedings, jurisdiction of administrative courts with stages of appeal, |
Literature |
Module M1048: Integrated Circuit Design |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Matthias Kuhl |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic knowledge of (solid-state) physics and mathematics. Knowledge in fundamentals of electrical engineering and electrical networks. |
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 | 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 |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Course L0691: Integrated Circuit Design |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Matthias Kuhl |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0998: Integrated Circuit Design |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Matthias Kuhl |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0676: Digital Communications |
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Courses | ||||||||||||||||
|
Module Responsible | Prof. Gerhard Bauch | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
|
||||||||
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. The students are familiar with the contents of lecture and tutorials. They can explain and apply them to new problems. |
||||||||
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 |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Core Qualification: Compulsory Computer Science in 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 | EN |
Cycle | WiSe |
Content |
|
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 | 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 M0746: Microsystem Engineering |
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Courses | ||||||||||||
|
Module Responsible | Dr. rer. nat. Thomas Kusserow | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Basic courses in physics, mathematics and electric engineering | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
The students know about the most important technologies and materials of MEMS as well as their applications in sensors and actuators. |
||||||||
Skills |
Students are able to analyze and describe the functional behaviour of MEMS components and to evaluate the potential of microsystems. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students are able to solve specific problems alone or in a group and to present the results accordingly. |
||||||||
Autonomy |
Students are able to acquire particular knowledge using specialized literature and to integrate and associate this knowledge with other fields. |
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 2h | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Core Qualification: Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Microelectronics and Microsystems: Core Qualification: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory |
Course L0680: Microsystem Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Dr. rer. nat. Thomas Kusserow |
Language | EN |
Cycle | WiSe |
Content |
Object and goal of MEMS Scaling Rules Lithography Film deposition Structuring and etching Energy conversion and force generation Electromagnetic Actuators Reluctance motors Piezoelectric actuators, bi-metal-actuator Transducer principles Signal detection and signal processing Mechanical and physical sensors Acceleration sensor, pressure sensor Sensor arrays System integration Yield, test and reliability |
Literature |
M. Kasper: Mikrosystementwurf, Springer (2000) M. Madou: Fundamentals of Microfabrication, CRC Press (1997) |
Course L0682: Microsystem Engineering |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. rer. nat. Thomas Kusserow |
Language | EN |
Cycle | WiSe |
Content |
Examples of MEMS components Layout consideration Electric, thermal and mechanical behaviour Design aspects |
Literature |
Wird in der Veranstaltung bekannt gegeben |
Module M0768: Microsystems Technology in Theory and Practice |
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Courses | ||||||||||||
|
Module Responsible | Prof. Hoc Khiem Trieu | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Basics in physics, chemistry, mechanics and semiconductor technology |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able • to present and to explain current fabrication techniques for microstructures and especially methods for the fabrication of microsensors and microactuators, as well as the integration thereof in more complex systems • to explain in details operation principles of microsensors and microactuators and • to discuss the potential and limitation of microsystems in application. |
||||||||
Skills |
Students are capable • to analyze the feasibility of microsystems, • to develop process flows for the fabrication of microstructures and • to apply them. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students are able to plan and carry out experiments in groups, as well as present and represent the results in front of others. These social skills are practiced both during the preparation phase, in which the groups work out and present the theory, and during the follow-up phase, in which the groups prepare, document and present their practical experiences. |
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Autonomy |
The independence of the students is demanded and promoted in that they have to transfer and apply what they have learned to ever new boundary conditions. This requirement is communicated at the beginning of the semester and consistently practiced until the exam. Students are encouraged to work independently by not being given a solution, but by learning to work out the solution step by step by asking specific questions. Students learn to ask questions independently when they are faced with a problem. They learn to independently break down problems into manageable sub-problems. |
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Oral exam | ||||||||
Examination duration and scale | 30 min | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Course L0724: Microsystems Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
M. Madou: Fundamentals of Microfabrication, CRC Press, 2002 N. Schwesinger: Lehrbuch Mikrosystemtechnik, Oldenbourg Verlag, 2009 T. M. Adams, R. A. Layton:Introductory MEMS, Springer, 2010 G. Gerlach; W. Dötzel: Introduction to microsystem technology, Wiley, 2008 |
Course L0725: Microsystems Technology |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1137: Technical Elective Complementary Course for IMPMM - field ET (according to Subject Specific Regulations) |
||||
Courses | ||||
|
Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge | Basic knowledge in electrical enginnering, physics, semiconductor devices and mathematics at Bachelor of Science level |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | As this modul can be chosen from the modul catalogue of the department E, the competence to be acquired is acccording to the chosen subject. |
Skills |
As this modul can be chosen from the modul catalogue of the department E, the skills to be acquired is acccording to the chosen subject. |
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Depends on choice of courses |
Credit points | 6 |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Module M1759: Linking theory and practice (dual study program, Master's degree) |
Module Responsible | Dr. Henning Haschke |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Dual students … … can describe and classify selected classic and current theories, concepts and methods
... and apply them to specific situations, processes and plans in a personal, professional context. |
Skills |
Dual students …
|
Personal Competence | |
Social Competence |
Dual students …
|
Autonomy |
Dual students …
|
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Studienbegleitende und semesterübergreifende Dokumentation: Die Leistungspunkte für das Modul werden durch die Anfertigung eines digitalen Lern- und Entwicklungsberichtes (E-Portfolio) erworben. Dabei handelt es sich um eine fortlaufende Dokumentation und Reflexion der Lernerfahrungen und der Kompetenzentwicklung im Bereich der Personalen Kompetenz. |
Course L2890: Responsible Project Management in Engineering (for Dual Study Program) |
Typ | Seminar |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Dr. Henning Haschke, Heiko Sieben |
Language | DE |
Cycle |
WiSe/ |
Content |
|
Literature |
Seminarapparat |
Course L2891: Responsible Change and Transformation Management in Engineering (for Dual Study Program) |
Typ | Seminar |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Dr. Henning Haschke, Heiko Sieben |
Language | DE |
Cycle |
WiSe/ |
Content |
|
Literature | Seminarapparat |
Module M1756: Practical module 1 (dual study program, Master's degree) |
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Courses | ||||||||
|
Module Responsible | Dr. Henning Haschke |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Dual students …
|
Skills |
Dual students …
|
Personal Competence | |
Social Competence |
Dual students …
|
Autonomy |
Dual students …
|
Workload in Hours | Independent Study Time 300, Study Time in Lecture 0 |
Credit points | 10 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase. |
Assignment for the Following Curricula |
Civil Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Computer Science: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Energy Systems: Core Qualification: Compulsory Environmental Engineering: Core Qualification: Compulsory Aircraft Systems Engineering: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Information and Communication Systems: Core Qualification: Compulsory International Management and Engineering: Core Qualification: Compulsory Logistics, Infrastructure and Mobility: Core Qualification: Compulsory Materials Science: Core Qualification: Compulsory Mechanical Engineering and Management: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Biomedical Engineering: Core Qualification: Compulsory Microelectronics and Microsystems: Core Qualification: Compulsory Product Development, Materials and Production: Core Qualification: Compulsory Renewable Energies: Core Qualification: Compulsory Naval Architecture and Ocean Engineering: Core Qualification: Compulsory Theoretical Mechanical Engineering: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Water and Environmental Engineering: Core Qualification: Compulsory |
Course L2887: Practical term 1 (dual study program, Master's degree) |
Typ | |
Hrs/wk | 0 |
CP | 10 |
Workload in Hours | Independent Study Time 300, Study Time in Lecture 0 |
Lecturer | Dr. Henning Haschke |
Language | DE |
Cycle |
WiSe/ |
Content |
Company onboarding process
Operational knowledge and skills
Sharing/reflecting on learning
|
Literature |
|
Module M0918: Advanced IC Design |
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Courses | ||||||||||||
|
Module Responsible | Prof. Matthias Kuhl |
Admission Requirements | None |
Recommended Previous Knowledge | Fundamentals of electrical engineering, electronic devices and circuits |
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 | 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 |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Course L0766: Advanced IC Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Kuhl |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
R. J. Baker, „CMOS-Circuit Design, Layout, and Simulation“, Wiley & Sons, IEEE Press, 2010 B. Razavi,"Design of Analog CMOS Integrated Circuits", McGraw-Hill Education Ltd, 2000 X. Liu, VLSI-Design Methodology Demystified; IEEE, 2009 |
Course L1057: Advanced IC Design |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Kuhl, Weitere Mitarbeiter |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0761: Semiconductor Technology |
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Courses | ||||||||||||
|
Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics in physics, chemistry, material science and semiconductor devices |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able • to describe and to explain current fabrication techniques for Si and GaAs substrates, • to discuss in details the relevant fabrication processes, process flows and the impact thereof on the fabrication of semiconductor devices and integrated circuits and • to present integrated process flows. |
Skills |
Students are capable • to analyze the impact of process parameters on the processing results, • to select and to evaluate processes and • to develop process flows for the fabrication of semiconductor devices. |
Personal Competence | |
Social Competence |
Students are able to plan and carry out experiments in groups, as well as present and represent the results in front of others. These social skills are practiced both during the preparation phase, in which the groups work out and present the theory, and during the follow-up phase, in which the groups prepare, document and present their practical experiences. |
Autonomy | The independence of the students is demanded and promoted in that they have to transfer and apply what they have learned to ever new boundary conditions. This requirement is communicated at the beginning of the semester and consistently practiced until the exam. Students are encouraged to work independently by not being given a solution, but by learning to work out the solution step by step by asking specific questions. Students learn to ask questions independently when they are faced with a problem. They learn to independently break down problems into manageable sub-problems. |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Course L0722: Semiconductor Technology |
Typ | Lecture |
Hrs/wk | 4 |
CP | 4 |
Workload in Hours | Independent Study Time 64, Study Time in Lecture 56 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
S.K. Ghandi: VLSI Fabrication principles - Silicon and Gallium Arsenide, John Wiley & Sons S.M. Sze: Semiconductor Devices - Physics and Technology, John Wiley & Sons U. Hilleringmann: Silizium-Halbleitertechnologie, Teubner Verlag H. Beneking: Halbleitertechnologie - Eine Einführung in die Prozeßtechnik von Silizium und III-V-Verbindungen, Teubner Verlag K. Schade: Mikroelektroniktechnologie, Verlag Technik Berlin S. Campbell: The Science and Engineering of Microelectronic Fabrication, Oxford University Press P. van Zant: Microchip Fabrication - A Practical Guide to Semiconductor Processing, McGraw-Hill |
Course L0723: Semiconductor Technology |
Typ | Practical Course |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0747: Microsystem Design |
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Courses | ||||||||||||
|
Module Responsible | Dr. rer. nat. Thomas Kusserow | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Mathematical Calculus, Linear Algebra, Microsystem Engineering |
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Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
The students know about the most important and most common simulation and design methods used in microsystem design. The scientific background of finite element methods and the basic theory of these methods are known. |
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Skills |
Students are able to apply simulation methods and commercial simulators in a goal oriented approach to complex design tasks. Students know to apply the theory in order achieve estimates of expected accuracy and can judge and verify the correctness of results. Students are able to develop a design approach even if only incomplete information about material data or constraints are available. Student can make use of approximate and reduced order models in a preliminary design stage or a system simulation. |
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Personal Competence | |||||||||
Social Competence |
Students are able to solve specific problems alone or in a group and to present the results accordingly. Students can develop and explain their solution approach and subdivide the design task to subproblems which are solved separately by group members. |
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Autonomy |
Students are able to acquire particular knowledge using specialized literature and to integrate and associate this knowledge with other fields. |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
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Examination | Oral exam | ||||||||
Examination duration and scale | 30 min | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Course L0683: Microsystem Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. rer. nat. Thomas Kusserow |
Language | EN |
Cycle | SoSe |
Content |
Finite difference methods Approximation error Finite element method Order of convergence Error estimation, mesh refinement Makromodeling Reduced order modeling Black-box models System identification Multi-physics systems System simulation Levels of simulation, network simulation Transient problems Non-linear problems Introduction to Comsol Application to thermal, electric, electromagnetic, mechanical and fluidic problems |
Literature |
M. Kasper: Mikrosystementwurf, Springer (2000) S. Senturia: Microsystem Design, Kluwer (2001) |
Course L0684: Microsystem Design |
Typ | Practical Course |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Dr. rer. nat. Thomas Kusserow |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1131: Technical Elective Complementary Course for IMPMM - field TUHH (according to Subject Specific Regulations) |
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Courses | ||||
|
Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic knowledge in electrical enginnering, physics, semiconductor devices, software and mathematics at Bachelor of Science level. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
As this module can be chosen from the module catalogue of the TUHH, the competence to be acquired is according to the chosen subject. |
Skills |
As this module can be chosen from the module catalogue of the TUHH, the skills to be acquired is according to the chosen subject. |
Personal Competence | |
Social Competence |
|
Autonomy | |
Workload in Hours | Depends on choice of courses |
Credit points | 6 |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Core Qualification: Elective Compulsory |
Module M1757: Practical module 2 (dual study program, Master's degree) |
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Courses | ||||||||
|
Module Responsible | Dr. Henning Haschke |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Dual students …
|
Skills |
Dual students …
|
Personal Competence | |
Social Competence |
Dual students …
|
Autonomy |
Dual students …
|
Workload in Hours | Independent Study Time 300, Study Time in Lecture 0 |
Credit points | 10 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase. |
Assignment for the Following Curricula |
Civil Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Computer Science: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Energy Systems: Core Qualification: Compulsory Environmental Engineering: Core Qualification: Compulsory Aircraft Systems Engineering: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Information and Communication Systems: Core Qualification: Compulsory International Management and Engineering: Core Qualification: Compulsory Logistics, Infrastructure and Mobility: Core Qualification: Compulsory Materials Science: Core Qualification: Compulsory Mechanical Engineering and Management: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Biomedical Engineering: Core Qualification: Compulsory Microelectronics and Microsystems: Core Qualification: Compulsory Product Development, Materials and Production: Core Qualification: Compulsory Renewable Energies: Core Qualification: Compulsory Naval Architecture and Ocean Engineering: Core Qualification: Compulsory Theoretical Mechanical Engineering: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Water and Environmental Engineering: Core Qualification: Compulsory |
Course L2888: Practical term 2 (dual study program, Master's degree) |
Typ | |
Hrs/wk | 0 |
CP | 10 |
Workload in Hours | Independent Study Time 300, Study Time in Lecture 0 |
Lecturer | Dr. Henning Haschke |
Language | DE |
Cycle |
WiSe/ |
Content |
Company onboarding process
Operational knowledge and skills
Sharing/reflecting on learning
|
Literature |
|
Module M1130: Project Work IMPMM |
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Courses | ||||
|
Module Responsible | Dozenten des SD E |
Admission Requirements | None |
Recommended Previous Knowledge | Good knowledge in the design of electronic circuits, microprocessor systems, systems for signal processing and the handling of software packages for simulation of electrical and physical processes. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | The student is able to achieve in a specific scientific field special knowledge and she or he can independently acquire in this field the skills necessary for solving these scientific problems. |
Skills | The student is able to formulate the scientific problems to be solved and to work out solutions in an independent manner and to realize them. |
Personal Competence | |
Social Competence |
The student can integrate herself or himself into small teams of researchers and she or he can discuss proposals for solutions of scientific problems within the team. She or he is able to present the results in a clear and well structured manner. |
Autonomy | The student can perform scientific work in a timely manner and document the results in a detailed and well readable form. She or he is able to anticipate possible problems well in advance and to prepare proposals for their solutions. |
Workload in Hours | Independent Study Time 450, Study Time in Lecture 0 |
Credit points | 15 |
Course achievement | None |
Examination | Study work |
Examination duration and scale | see FSPO |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Core Qualification: Compulsory |
Module M1591: Seminar for IMPMM |
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Courses | ||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge | Basics from the field of the seminar |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Students can explain the most important facts and relationships of a specific topic from the field of the seminar. |
Skills | Students are able to compile a specified topic from the field of the seminar and to give a clear, structured and comprehensible presentation of the subject. They can comply with a given duration of the presentation. They can write in English a summary including illustrations that contains the most important results, relationships and explanations of the subject. |
Personal Competence | |
Social Competence | Students are able to adapt their presentation with respect to content, detailedness, and presentation style to the composition and previous knowledge of the audience. They can answer questions from the audience in a curt and precise manner. |
Autonomy | Students are able to autonomously carry out a literature research concerning a given topic. They can independently evaluate the material. They can self-reliantly decide which parts of the material should be included in the presentation. |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Credit points | 3 |
Course achievement | None |
Examination | Presentation |
Examination duration and scale | 15 minutes presentation + 5-10 minutes discussion + 2 pages written abstract |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Core Qualification: Compulsory |
Course L2428: Seminar for IMPMM |
Typ | Seminar |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Hoc Khiem Trieu |
Language | EN |
Cycle |
WiSe/ |
Content |
Prepare, present, and discuss talks about recent topics from the field of semiconductors. The presentations must be given in English. Evaluation Criteria:
Handout: |
Literature |
Aktuelle Veröffentlichungen zu dem gewählten Thema. Recent publications of the selected topics. |
Module M1758: Practical module 3 (dual study program, Master's degree) |
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Courses | ||||||||
|
Module Responsible | Dr. Henning Haschke |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Dual students …
|
Skills |
Dual students …
|
Personal Competence | |
Social Competence |
Dual students …
|
Autonomy |
Dual students …
|
Workload in Hours | Independent Study Time 300, Study Time in Lecture 0 |
Credit points | 10 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Documentation accompanying studies and across semesters: Module credit points are earned by completing a digital learning and development report (e-portfolio). This documents and reflects individual learning experiences and skills development relating to interlinking theory and practice, as well as professional practice. In addition, the partner company provides proof to the dual@TUHH Coordination Office that the dual student has completed the practical phase. |
Assignment for the Following Curricula |
Civil Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Computer Science: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Energy Systems: Core Qualification: Compulsory Environmental Engineering: Core Qualification: Compulsory Aircraft Systems Engineering: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Information and Communication Systems: Core Qualification: Compulsory International Management and Engineering: Core Qualification: Compulsory Logistics, Infrastructure and Mobility: Core Qualification: Compulsory Materials Science: Core Qualification: Compulsory Mechanical Engineering and Management: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Biomedical Engineering: Core Qualification: Compulsory Microelectronics and Microsystems: Core Qualification: Compulsory Product Development, Materials and Production: Core Qualification: Compulsory Renewable Energies: Core Qualification: Compulsory Naval Architecture and Ocean Engineering: Core Qualification: Compulsory Theoretical Mechanical Engineering: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Water and Environmental Engineering: Core Qualification: Compulsory |
Course L2889: Practical term 3 (dual study program, Master's degree) |
Typ | |
Hrs/wk | 0 |
CP | 10 |
Workload in Hours | Independent Study Time 300, Study Time in Lecture 0 |
Lecturer | Dr. Henning Haschke |
Language | DE |
Cycle |
WiSe/ |
Content |
Company onboarding process
Operational knowledge and skills
Sharing/reflecting on learning
|
Literature |
|
Specialization Communication and Signal Processing
Students have to choose lectures with a total of 18 credit points from the catalog of this specialization.
Module M0836: Communication Networks |
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Courses | ||||||||||||||||
|
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 |
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: Core Qualification: Elective Compulsory Computer Science in Engineering: Specialisation I. Computer Science: 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 Mechatronics: Technical Complementary Course: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: 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 |
|
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 |
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 |
|
Module M0710: Microwave Engineering |
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Courses | ||||||||||||||||
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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. |
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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. |
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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. |
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Personal Competence | |||||||||
Social Competence |
Students work together in small groups during the practical courses. Together they document, evaluate and discuss their results. |
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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. |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
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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. Alexander Kölpin |
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. Alexander Kölpin |
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. Alexander Kölpin |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0637: Advanced Concepts of Wireless Communications |
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Courses | ||||||||||||
|
Module Responsible | Dr. Rainer Grünheid |
Admission Requirements | None |
Recommended Previous Knowledge |
|
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 (LTE, 5G) they can put the learnt content into a larger context. The students are familiar with the contents of lecture and tutorials. They can explain and apply them to new problems. |
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 LTE, LTE Advanced, and 5G New Radio. |
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. 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 |
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 |
Module M1700: Satellite Communications and Navigation |
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Courses | ||||||||||||
|
Module Responsible | Prof. Gerhard Bauch |
Admission Requirements | None |
Recommended Previous Knowledge |
The module is designed for a diverse audience, i.e. students with different background. Basic knowledge of communications engineering and signal processing are of advantage but not required. The course intends to provide the chapters on communications techniques such that on the one hand students with a communications engineering background learn additional concepts and examples (e.g. modulation and coding schemes or signal processing concepts) which have not or in a different way been treated in our other bachelor and master courses. On the other hand, students with other background shall be able to grasp the ideas but may not be able to understand in the same depth. The individual background of the students will be taken into consideration in the oral exam. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to understand, compare and analyse digital satellite communications system as well as navigation techniques. They are familiar with principal ideas of the respective communications, signal processing and positioning methods. They can describe distortions and resulting limitations caused by transmission channels and hardware components. They can describe how fundamental communications and navigation techniques are applied in selected practical systems. The students are familiar with the contents of lecture and tutorials. They can explain and apply them to new problems. |
Skills |
The students are able to describe and analyse digital satellite communications systems and navigation systems. They are able to analyse transmission chains including link budget calculations. They are able to choose appropriate transmission technologies and system parameters for given scenarios. |
Personal Competence | |
Social Competence |
The students can jointly solve specific problems. |
Autonomy |
The students are able to acquire relevant information from appropriate literature sources. |
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 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 L2711: Radio-Based Positioning and Navigation |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Gerhard Bauch, Dr. Ing. Rico Mendrzik |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Course L2710: Satellite Communications |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Gerhard Bauch |
Language | EN |
Cycle | SoSe |
Content |
Error control coding (channel coding)
|
Literature |
Module M0738: Digital Audio Signal Processing |
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Courses | ||||||||||||
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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 | 60 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Information and Communication Systems: 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 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 |
|
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 M1686: Selected Aspects of Communication and Signal Processing |
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Courses | ||||||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
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 | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory |
Course L2674: Selected Aspects of Communication and Signal Processing |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Dozenten des SD E |
Language | EN |
Cycle |
WiSe/ |
Content | |
Literature |
Course L2675: Selected Aspects of Communication and Signal Processing |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dozenten des SD E |
Language | EN |
Cycle |
WiSe/ |
Content | See interlocking course |
Literature | See interlocking course |
Module M1598: Image Processing |
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Courses | ||||||||||||
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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
|
Skills |
The students can
|
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 Data Science: Specialisation I. Mathematics/Computer Science: Elective Compulsory Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: 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 Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: 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 |
|
Literature |
Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011 |
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 M0677: Digital Signal Processing and Digital Filters |
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Courses | ||||||||||||
|
Module Responsible | Prof. Gerhard Bauch |
Admission Requirements | None |
Recommended Previous Knowledge |
|
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. The students are familiar with the contents of lecture and tutorials. They can explain and apply them to new problems. |
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 Computer Science in 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 Theoretical Mechanical Engineering: Specialisation Robotics 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 |
|
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 M1249: Medical Imaging |
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Courses | ||||||||||||
|
Module Responsible | Prof. Tobias Knopp |
Admission Requirements | None |
Recommended Previous Knowledge | Basic knowledge in linear algebra, numerics, and signal processing |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
After successful completion of the module, students are able to describe reconstruction methods for different tomographic imaging modalities such as computed tomography and magnetic resonance imaging. They know the necessary basics from the fields of signal processing and inverse problems and are familiar with both analytical and iterative image reconstruction methods. The students have a deepened knowledge of the imaging operators of computed tomography and magnetic resonance imaging. |
Skills |
The students are able to implement reconstruction methods and test them using tomographic measurement data. They can visualize the reconstructed images and evaluate the quality of their data and results. In addition, students can estimate the temporal complexity of imaging algorithms. |
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 |
Computer Science: Specialisation II: Intelligence Engineering: Elective Compulsory Electrical Engineering: Specialisation Medical Technology: Elective Compulsory Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory Interdisciplinary Mathematics: Specialisation Computational Methods in Biomedical Imaging: Compulsory Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory |
Course L1694: Medical Imaging |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tobias Knopp |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
Bildgebende Verfahren in der Medizin; O. Dössel; Springer, Berlin, 2000 Bildgebende Systeme für die medizinische Diagnostik; H. Morneburg (Hrsg.); Publicis MCD, München, 1995 Introduction to the Mathematics of Medical Imaging; C. L.Epstein; Siam, Philadelphia, 2008 Medical Image Processing, Reconstruction and Restoration; J. Jan; Taylor and Francis, Boca Raton, 2006 Principles of Magnetic Resonance Imaging; Z.-P. Liang and P. C. Lauterbur; IEEE Press, New York, 1999 |
Course L1695: Medical Imaging |
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 | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1743: COSIMA (Competition in Microsystem Application) |
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Courses | ||||||||
|
Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Knowledge of microsystems operation and application. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Consolidation of knowledge in the application of microsystems with practical relevance. Learning how an idea could turn into a product. |
Skills |
Realization of a concrete system by integrating hardware components and, under certain circumstances, software into a demonstrator. Development of a business plan for the innovative product. Convincing companies to sponsor the project. Presentation of the project in the form of an exposé. |
Personal Competence | |
Social Competence |
Students work in groups of 3 to 4 participants each to implement their project idea. The division of tasks takes place within the group, taking into account the complementary skills of the members. |
Autonomy |
The groups work on the project independently from the idea to the implementation. Supervision is provided through joint analysis of the problems and advice to the students. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L3094: COSIMA (Competition in Microsystem Application) |
Typ | Project-/problem-based Learning |
Hrs/wk | 5 |
CP | 6 |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Lecturer | Prof. Hoc Khiem Trieu, Dozenten des Studiengangs |
Language | EN |
Cycle |
WiSe/ |
Content | |
Literature |
Specialization Embedded Systems
Module M0791: Computer Architecture |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Heiko Falk | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Module "Computer Engineering" |
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Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
This module presents advanced concepts from the discipline of computer architecture. In the beginning, a broad overview over various programming models is given, both for general-purpose computers and for special-purpose machines (e.g., signal processors). Next, foundational aspects of the micro-architecture of processors are covered. Here, the focus particularly lies on the so-called pipelining and the methods used for the acceleration of instruction execution used in this context. The students get to know concepts for dynamic scheduling, branch prediction, superscalar execution of machine instructions and for memory hierarchies. |
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Skills |
The students are able to describe the organization of processors. They know the different architectural principles and programming models. The students examine various structures of pipelined processor architectures and are able to explain their concepts and to analyze them w.r.t. criteria like, e.g., performance or energy efficiency. They evaluate different structures of memory hierarchies, know parallel computer architectures and are able to distinguish between instruction- and data-level parallelism. |
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Personal Competence | |||||||||
Social Competence |
Students are able to solve similar problems alone or in a group and to present the results accordingly. |
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Autonomy |
Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes. |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
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Examination | Written exam | ||||||||
Examination duration and scale | 90 minutes, contents of course and 4 attestations from the PBL "Computer architecture" | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Aircraft Systems Engineering: Core Qualification: Elective Compulsory Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L0793: Computer Architecture |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Heiko Falk |
Language | DE/EN |
Cycle | WiSe |
Content |
The theoretical tutorials amplify the lecture's content by solving and discussing exercise sheets and thus serve as exam preparation. Practical aspects of computer architecture are taught in the FPGA-based PBL on computer architecture whose attendance is mandatory. |
Literature |
|
Course L0794: Computer Architecture |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Heiko Falk |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1864: Computer Architecture |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Heiko Falk |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1749: Energy Efficiency in Embedded Systems |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Ulf Kulau |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Motivation: In the field of computer science we have only limited possibilities to influence the efficiency of the hardware directly, respectively we are dependent on the manufacturers (e.g. of microcontrollers). However, in order to exploit the full potential of the hardware we are given at the system level, we need a deeper understanding of the background, processes and mechanisms of power dissipation in embedded systems. Where does the power dissipation come from, what happens at the hardware level, what mechanisms can I use directly/indirectly, what is the tradeoff between flexibility and efficiency,.... are only a few questions, which will be elaborated and discussed in this event. Contents of teaching:
|
Skills |
Upon completion of this module, students will have a deeper understanding of hardware and software mechanisms for evaluating and developing energy-efficient embedded systems
|
Personal Competence | |
Social Competence |
As part of the module, concepts learned in the lecture will be implemented on a hardware platform within small groups. Students learn to work in a team and to develop solutions together. Specific tasks are worked on within the group, whereby cross-group collaboration (exchange) also takes place. The second part is a challenge-based project in which the groups find the most energy-efficient solutions possible in healthy competition with each other. This strengthens the cohesion in the groups and reinforces mutual motivation, support and creativity. |
Autonomy |
After completing this module, students will be able to independently develop, optimize and evaluate solutions for embedded systems based on the knowledge they have acquired and further technical literature. |
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 | 25 min |
Assignment for the Following Curricula |
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L2870: Energy Efficiency in Embedded Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Ulf Kulau |
Language | DE/EN |
Cycle | WiSe |
Content |
Motivation: In the field of computer science we have only limited possibilities to influence the efficiency of the hardware directly, respectively we are dependent on the manufacturers (e.g. of microcontrollers). However, in order to exploit the full potential of the hardware we are given at the system level, we need a deeper understanding of the background, processes and mechanisms of power dissipation in embedded systems. Where does the power dissipation come from, what happens at the hardware level, what mechanisms can I use directly/indirectly, what is the tradeoff between flexibility and efficiency,.... are only a few questions, which will be elaborated and discussed in this event. Contents of teaching:
|
Literature |
DE: Die Vorlesung basiert af einer Vielzahl von Quellen, welche in [1.] angegeben sind. ENG: The lecture is based on multiple sources which are listed in [1.].
|
Course L2872: Energy Efficiency in Embedded Systems |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Ulf Kulau |
Language | DE/EN |
Cycle | WiSe |
Content |
In this project-based exercise, the learned aspects for achieving energy-efficient embedded systems are implemented and consolidated in practical environments in a small project. First, a tool set for the implementation of energy efficiency mechanisms is implemented in common exercises by means of defined tasks. In the second part, a challenge-based exercise is carried out in which a system that is as efficient as possible is to be implemented independently. A system based on an AVR micro-controller is used, which can be operated autonomously by a Solar-Energy Harvester.
|
Literature |
Course L2871: Energy Efficiency in Embedded Systems |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Ulf Kulau |
Language | DE/EN |
Cycle | WiSe |
Content |
In the lecture hall exercise, the theoertical basics taught in the lecture are deepened. This is done through in-depth discussion of relevant aspects, but also through calculation examples, in which a deeper understanding of the topic of energy efficiency in embedded systems is gained. Exercises will be distributed in advance and solutions will be presented in the lecture hall exercise. Contents of the exercise are as follows:
|
Literature |
Module M0924: Software for Embedded Systems |
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Courses | ||||||||||||
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Module Responsible | Prof. Bernd-Christian Renner | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
|
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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 |
|
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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 Communication Systems, Focus Software: 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 |
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 |
|
Literature |
|
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 M1400: Design of Dependable Systems |
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Courses | ||||||||||||
|
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.,
Knowledge about methods for the analysis of dependable systems |
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Skills |
Ability to implement dependable systems using the above approaches. Ability to analyzs the dependability of systems using the above methods for analysis. |
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Personal Competence | |||||||||
Social Competence |
Students
|
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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 |
|
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Examination | Oral exam | ||||||||
Examination duration and scale | 30 min | ||||||||
Assignment for the Following Curricula |
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Computer Science in 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:
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:
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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 M1772: Smart Sensors |
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Courses | ||||||||||||
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Module Responsible | Prof. Ulf Kulau |
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 | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 25 min |
Assignment for the Following Curricula |
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L2904: Smart Sensors |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Ulf Kulau |
Language | DE/EN |
Cycle | SoSe |
Content | |
Literature |
Course L2905: Smart Sensors Lab |
Typ | Project-/problem-based Learning |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Ulf Kulau |
Language | DE/EN |
Cycle | SoSe |
Content | |
Literature |
Module M0803: Embedded Systems |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Heiko Falk | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Computer Engineering | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Embedded systems can be defined as information processing systems embedded into enclosing products. This course teaches the foundations of such systems. In particular, it deals with an introduction into these systems (notions, common characteristics) and their specification languages (models of computation, hierarchical automata, specification of distributed systems, task graphs, specification of real-time applications, translations between different models). Another part covers the hardware of embedded systems: Sonsors, A/D and D/A converters, real-time capable communication hardware, embedded processors, memories, energy dissipation, reconfigurable logic and actuators. The course also features an introduction into real-time operating systems, middleware and real-time scheduling. Finally, the implementation of embedded systems using hardware/software co-design (hardware/software partitioning, high-level transformations of specifications, energy-efficient realizations, compilers for embedded processors) is covered. |
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Skills |
After having attended the course, students shall be able to realize simple embedded systems. The students shall realize which relevant parts of technological competences to use in order to obtain a functional embedded systems. In particular, they shall be able to compare different models of computations and feasible techniques for system-level design. They shall be able to judge in which areas of embedded system design specific risks exist. |
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Personal Competence | |||||||||
Social Competence |
Students are able to solve similar problems alone or in a group and to present the results accordingly. |
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Autonomy |
Students are able to acquire new knowledge from specific literature and to associate this knowledge with other classes. |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
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Examination | Written exam | ||||||||
Examination duration and scale | 90 minutes, contents of course and labs | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Aircraft Systems Engineering: Core Qualification: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Elective Compulsory Computer Science in Engineering: Core Qualification: Compulsory Mechatronics: Specialisation System Design: Elective Compulsory Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L0805: Embedded Systems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Heiko Falk |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
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Course L2938: Embedded Systems |
Typ | Project-/problem-based Learning |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Heiko Falk |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
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Course L0806: Embedded Systems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Heiko Falk |
Language | EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1771: Research Based Learning - Smart Sensing Applications |
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Courses | ||||||||
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Module Responsible | Prof. Ulf Kulau |
Admission Requirements | None |
Recommended Previous Knowledge |
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Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
After completing the module, students are able to better understand and actively accompany scientific processes. Thereby, the involvement in a real research project (topic depending on topicality) is a high motivation and is given. Students receive a general understanding of the respective research project, iundem basics and backgrounds are conveyed. In order to be able to provide own research contributions within the set framework, methods for scientific practice are taught.
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Personal Competence | |
Social Competence |
The work is done in groups and close cooperation and coordination within the individual teams is required. Through the interface "sensors" it is possible to select topics with a strong interdisciplinary share. Mutual understanding (finding a common language) is learned through this. Since real scientific problems are to be investigated, students acquire the ability to implement good scientific practice in a disciplined, objective and critical manner. |
Autonomy |
After completing the module, students will be able to independently plan and carry out scientific processes. In group work, organization, idea generation, derivation of hypotheses and thought processes are to be independently moderated and carried out. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Paper including the achieved results |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L2903: Research Based Learning - Smart Sensing Applications |
Typ | Project-/problem-based Learning |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Ulf Kulau |
Language | DE/EN |
Cycle | SoSe |
Content | |
Literature |
Module M0925: Digital Circuit Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Matthias Kuhl |
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 | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 40 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L0698: Digital Circuit Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volkhard Klinger |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L0699: Advanced Digital Circuit Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volkhard Klinger |
Language | EN |
Cycle | SoSe |
Content | |
Literature |
Module M1687: Selected Aspects of Embedded Systems |
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Courses | ||||||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
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 | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L2676: Selected Aspects of Embedded Systems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Dozenten des SD E |
Language | EN |
Cycle |
WiSe/ |
Content | |
Literature |
Course L2677: Selected Aspects of Embedded Systems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dozenten des SD E |
Language | EN |
Cycle |
WiSe/ |
Content | See interlocking course |
Literature | See interlocking course |
Module M0910: Advanced System-on-Chip Design (Lab) |
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Courses | ||||||||
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Module Responsible | Prof. Heiko Falk |
Admission Requirements | None |
Recommended Previous Knowledge |
Successful completion of the practical FPGA lab of module "Computer Architecture" is a mandatory prerequisite. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
This module provides in-depth, hands-on experience on advanced concepts of computer architecture. Using the Hardware Description Language VHDL and using reconfigurable FPGA hardware boards, students learn how to design complex computer systems (so-called systems-on-chip, SoCs), that are commonly found in the domain of embedded systems, in actual hardware. Starting with a simple processor architecture, the students learn to how realize instruction-processing of a computer processor according to the principle of pipelining. They implement different styles of cache-based memory hierarchies, examine strategies for dynamic scheduling of machine instructions and for branch prediction, and finally construct a complex MPSoC system (multi-processor system-on-chip) that consists of multiple processor cores that are connected via a shared bus. |
Skills |
Students will be able to analyze, how highly specific and individual computer systems can be constructed using a library of given standard components. They evaluate the interferences between the physical structure of a computer system and the software executed thereon. This way, they will be enabled to estimate the effects of design decision at the hardware level on the performance of the entire system, to evaluate the whole and complex system and to propose design options to improve a system. |
Personal Competence | |
Social Competence |
Students are able to solve similar problems alone or in a group and to present the results accordingly. |
Autonomy |
Students are able to acquire new knowledge from specific literature, to transform this knowledge into actual implementations of complex hardware structures, and to associate this knowledge with contents of other classes. |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | VHDL Codes and FPGA-based implementations |
Assignment for the Following Curricula |
Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L1061: Advanced System-on-Chip Design |
Typ | Project-/problem-based Learning |
Hrs/wk | 3 |
CP | 6 |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Lecturer | Prof. Heiko Falk |
Language | DE/EN |
Cycle | WiSe |
Content |
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Literature |
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Module M1743: COSIMA (Competition in Microsystem Application) |
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Courses | ||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Knowledge of microsystems operation and application. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Consolidation of knowledge in the application of microsystems with practical relevance. Learning how an idea could turn into a product. |
Skills |
Realization of a concrete system by integrating hardware components and, under certain circumstances, software into a demonstrator. Development of a business plan for the innovative product. Convincing companies to sponsor the project. Presentation of the project in the form of an exposé. |
Personal Competence | |
Social Competence |
Students work in groups of 3 to 4 participants each to implement their project idea. The division of tasks takes place within the group, taking into account the complementary skills of the members. |
Autonomy |
The groups work on the project independently from the idea to the implementation. Supervision is provided through joint analysis of the problems and advice to the students. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L3094: COSIMA (Competition in Microsystem Application) |
Typ | Project-/problem-based Learning |
Hrs/wk | 5 |
CP | 6 |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Lecturer | Prof. Hoc Khiem Trieu, Dozenten des Studiengangs |
Language | EN |
Cycle |
WiSe/ |
Content | |
Literature |
Specialization Microelectronics Complements
Students have to choose lectures with a total of 18 credit points from the catalog of this specialization.
Module M0925: Digital Circuit Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Matthias Kuhl |
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 | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 40 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory Mechanical Engineering and Management: Specialisation Mechatronics: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory |
Course L0698: Digital Circuit Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volkhard Klinger |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L0699: Advanced Digital Circuit Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Volkhard Klinger |
Language | EN |
Cycle | SoSe |
Content | |
Literature |
Module M1611: Silicon Photonics |
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Courses | ||||||||||||
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Module Responsible | Dr. Timo Lipka |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics in physics, optics, microsystem and semiconductor technology |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know the fundamentals of silicon photonics and about the most important and commonly used materials and fabrication techniques. Students are able
|
Skills |
Students are capable to
|
Personal Competence | |
Social Competence |
Students are able to prepare and perform their lab experiments in team work as well as to present and discuss the results in front of audience. |
Autonomy |
none |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L2408: Silicon Photonics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Dr. Timo Lipka |
Language | EN |
Cycle | WiSe |
Content |
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Literature |
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Course L2418: Silicon Photonics |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Timo Lipka |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0769: EMC I: Coupling Mechanisms, Countermeasures and Test Procedures |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Christian Schuster | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Fundamentals of Electrical Engineering |
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Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to explain the fundamental principles, inter-dependencies, and methods of Electromagnetic Compatibility of electric and electronic systems and to ensure Electromagnetic Compatibility of such systems. They are able to classify and explain the common interference sources and coupling mechanisms. They are capable of explaining the basic principles of shielding and filtering. They are able of giving an overview over measurement and simulation methods for the characterization of Electromagnetic Compatibility in electrical engineering practice. |
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Skills |
Students are able to apply a series of modeling methods for the Electromagnetic Compatibility of typical electric and electronic systems. They are able to determine the most important effects that these models are predicting in terms of Electromagnetic Compatibility. They can classify these effects and they can quantitatively analyze them. They are capable of deriving problem solving strategies from these predictions and they can adapt them to applications in electrical engineering practice. They can evaluate their problem solving strategies against each other. |
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Personal Competence | |||||||||
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English, during laboratory work and exercises, e.g.. |
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Autonomy |
Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. Theoretical Electrical Engineering and Communication Theory). They can communicate problems and solutions in the field of Electromagnetic Compatibility in english language. |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
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Examination | Oral exam | ||||||||
Examination duration and scale | 45 min | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0743: EMC I: Coupling Mechanisms, Countermeasures, and Test Procedures |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
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Course L0744: EMC I: Coupling Mechanisms, Countermeasures, and Test Procedures |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
The exercise sessions serve to deepen the understanding of the concepts of the lecture. |
Literature |
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Course L0745: EMC I: Coupling Mechanisms, Countermeasures, and Test Procedures |
Typ | Practical Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | SoSe |
Content |
Laboratory experiments serve to practically investigate the following EMC topics:
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Literature | Versuchsbeschreibungen und zugehörige Literatur werden innerhalb der Veranstaltung bereit gestellt. |
Module M0919: Laboratory: Digital Circuit Design |
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Courses | ||||||||
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Module Responsible | Prof. Matthias Kuhl |
Admission Requirements | None |
Recommended Previous Knowledge | Basic knowledge of semiconductor devices and circuit design |
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 | Independent Study Time 152, Study Time in Lecture 28 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0694: Laboratory: Digital Circuit Design |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 6 |
Workload in Hours | Independent Study Time 152, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Kuhl |
Language | EN |
Cycle | SoSe |
Content |
|
Literature | Handouts will be distributed |
Module M0645: Fibre and Integrated Optics |
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Courses | ||||||||||||
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Module Responsible | Prof. Manfred Eich |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of electrodynamics and optics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations and technological basics of guided optical waves. They can describe integrated optical as well as fibre optical structures. They can give an overview on the applications of integrated optical components in optical signal processing. |
Skills |
Students can generate models and derive mathematical descriptions in relation to fibre optical and integrated optical wave propagation. They can derive approximative solutions and judge factors influential on the components' performance. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0363: Fibre and Integrated Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Hagen Renner |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0365: Fibre and Integrated Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Hagen Renner |
Language | EN |
Cycle | SoSe |
Content |
See lecture Fibre and Integrated Optics |
Literature |
See lecture Fibre and Integrated Optics |
Module M0643: Optoelectronics I - Wave Optics |
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Courses | ||||||||||||
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Module Responsible | Dr. Alexander Petrov |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics in electrodynamics, calculus |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations of freely propagating optical waves. |
Skills |
Students can generate models and derive mathematical descriptions in relation to free optical wave propagation. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory Renewable Energies: Specialisation Solar Energy Systems: Elective Compulsory |
Course L0359: Optoelectronics I: Wave Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Alexander Petrov |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0361: Optoelectronics I: Wave Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Alexander Petrov |
Language | EN |
Cycle | SoSe |
Content | see lecture Optoelectronics 1 - Wave Optics |
Literature |
see lecture Optoelectronics 1 - Wave Optics |
Module M0781: EMC II: Signal Integrity and Power Supply of Electronic Systems |
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Courses | ||||||||||||||||
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Module Responsible | Prof. Christian Schuster | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Fundamentals of electrical engineering |
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Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to explain the fundamental principles, inter-dependencies, and methods of signal and power integrity of electronic systems. They are able to relate signal and power integrity to the context of interference-free design of such systems, i.e. their electromagnetic compatibility. They are capable of explaining the basic behavior of signals and power supply in typical packages and interconnects. They are able to propose and describe problem solving strategies for signal and power integrity issues. They are capable of giving an overview over measurement and simulation methods for characterization of signal and power integrity in electrical engineering practice. |
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Skills |
Students are able to apply a series of modeling methods for characterization of electromagnetic field behavior in packages and interconnect structure of electronic systems. They are able to determine the most important effects that these models are predicting in terms of signal and power integrity. They can classify these effects and they can quantitatively analyze them. They are capable of deriving problem solving strategies from these predictions and they can adapt them to applications in electrical engineering practice. The can evaluate their problem solving strategies against each other. |
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Personal Competence | |||||||||
Social Competence |
Students are able to work together on subject related tasks in small groups. They are able to present their results effectively in English (e.g. during CAD exercises). |
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Autonomy |
Students are capable to gather necessary information from the references provided and relate that information to the context of the lecture. They are able to make a connection between their knowledge obtained in this lecture with the content of other lectures (e.g. theory of electromagnetic fields, communications, and semiconductor circuit design). They can communicate problems and solutions in the field of signal integrity and power supply of interconnect and packages in English. |
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Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
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Examination | Oral exam | ||||||||
Examination duration and scale | 45 min | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Mechatronics: Technical Complementary Course: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0770: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content |
- The role of packages and interconnects in electronic systems - Components of packages and interconnects in electronic systems - Main goals and concepts of signal and power integrity of electronic systems - Repeat of relevant concepts from the theory electromagnetic fields - Properties of digital signals and systems - Design and characterization of signal integrity - Design and characterization of power supply - Techniques and devices for measurements in time- and frequency-domain - CAD tools for electrical analysis and design of packages and interconnects - Connection to overall electromagnetic compatibility of electronic systems |
Literature |
- J. Franz, "EMV: Störungssicherer Aufbau elektronischer Schaltungen", Springer (2012) - R. Tummala, "Fundamentals of Microsystems Packaging", McGraw-Hill (2001) - S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994) - S. Thierauf, "Understanding Signal Integrity", Artech House (2010) - M. Swaminathan, A. Engin, "Power Integrity Modeling and Design for Semiconductors and Systems", Prentice-Hall (2007) |
Course L0771: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0774: EMC II: Signal Integrity and Power Supply of Electronic Systems |
Typ | Practical Course |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Christian Schuster |
Language | DE/EN |
Cycle | WiSe |
Content |
- The role of packages and interconnects in electronic systems - Components of packages and interconnects in electronic systems - Main goals and concepts of signal and power integrity of electronic systems - Repeat of relevant concepts from the theory electromagnetic fields - Properties of digital signals and systems - Design and characterization of signal integrity - Design and characterization of power supply - Techniques and devices for measurements in time- and frequency-domain - CAD tools for electrical analysis and design of packages and interconnects - Connection to overall electromagnetic compatibility of electronic systems |
Literature |
- J. Franz, "EMV: Störungssicherer Aufbau elektronischer Schaltungen", Springer (2012) - R. Tummala, "Fundamentals of Microsystems Packaging", McGraw-Hill (2001) - S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994) - S. Thierauf, "Understanding Signal Integrity", Artech House (2010) - M. Swaminathan, A. Engin, "Power Integrity Modeling and Design for Semiconductors and Systems", Prentice-Hall (2007) |
Module M0913: Mixed-signal Circuit Design |
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Courses | ||||||||||||
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Module Responsible | Prof. Matthias Kuhl | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Advanced knowledge of analog or digital MOS devices and circuits | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
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Skills |
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Personal Competence | |||||||||
Social Competence |
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Autonomy |
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Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
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Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0764: Mixed-signal Circuit Design |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Kuhl |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L1063: Mixed-signal Circuit Design |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Kuhl |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1688: Selected Aspects of Microelectronics and Microsystems |
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Courses | ||||||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
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 | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Oral exam |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L2678: Selected Aspects of Microelectronics and Microsystems |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Dozenten des SD E |
Language | EN |
Cycle |
WiSe/ |
Content | |
Literature |
Course L2679: Selected Aspects of Microelectronics and Microsystems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dozenten des SD E |
Language | EN |
Cycle |
WiSe/ |
Content | See interlocking course |
Literature | See interlocking course |
Module M1589: Laboratory: Analog Circuit Design |
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Courses | ||||||||
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Module Responsible | Prof. Matthias Kuhl |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic knowledge of semiconductor devices and circuit design |
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 | Independent Study Time 152, Study Time in Lecture 28 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | 30 min |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0692: Laboratory: Analog Circuit Design |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 6 |
Workload in Hours | Independent Study Time 152, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Kuhl, Weitere Mitarbeiter |
Language | EN |
Cycle | WiSe |
Content |
|
Literature | Handouts to be distributed |
Module M0644: Optoelectronics II - Quantum Optics |
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Courses | ||||||||||||
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Module Responsible | Dr. Alexander Petrov |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic principles of electrodynamics, optics and quantum mechanics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can explain the fundamental mathematical and physical relations of quantum optical phenomena such as absorption, stimulated and spontanous emission. They can describe material properties as well as technical solutions. They can give an overview on quantum optical components in technical applications. |
Skills |
Students can generate models and derive mathematical descriptions in relation to quantum optical phenomena and processes. They can derive approximative solutions and judge factors influential on the components' performance. |
Personal Competence | |
Social Competence |
Students can jointly solve subject related problems in groups. They can present their results effectively within the framework of the problem solving course. |
Autonomy |
Students are capable to extract relevant information from the provided references and to relate this information to the content of the lecture. They can reflect their acquired level of expertise with the help of lecture accompanying measures such as exam typical exam questions. Students are able to connect their knowledge with that acquired from other lectures. |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Electrical Engineering: Specialisation Nanoelectronics and Microsystems Technology: Elective Compulsory Electrical Engineering: Specialisation Microwave Engineering, Optics, and Electromagnetic Compatibility: Elective Compulsory Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L0360: Optoelectronics II: Quantum Optics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Alexander Petrov |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Bahaa E. A. Saleh, Malvin Carl Teich, Fundamentals of Photonics, Wiley 2007 |
Course L0362: Optoelectronics II: Quantum Optics (Problem Solving Course) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Alexander Petrov |
Language | EN |
Cycle | WiSe |
Content | see lecture Optoelectronics 1 - Wave Optics |
Literature |
see lecture Optoelectronics 1 - Wave Optics |
Module M1743: COSIMA (Competition in Microsystem Application) |
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Courses | ||||||||
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Module Responsible | Prof. Hoc Khiem Trieu |
Admission Requirements | None |
Recommended Previous Knowledge |
Knowledge of microsystems operation and application. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Consolidation of knowledge in the application of microsystems with practical relevance. Learning how an idea could turn into a product. |
Skills |
Realization of a concrete system by integrating hardware components and, under certain circumstances, software into a demonstrator. Development of a business plan for the innovative product. Convincing companies to sponsor the project. Presentation of the project in the form of an exposé. |
Personal Competence | |
Social Competence |
Students work in groups of 3 to 4 participants each to implement their project idea. The division of tasks takes place within the group, taking into account the complementary skills of the members. |
Autonomy |
The groups work on the project independently from the idea to the implementation. Supervision is provided through joint analysis of the problems and advice to the students. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory Microelectronics and Microsystems: Specialisation Embedded Systems: Elective Compulsory Microelectronics and Microsystems: Specialisation Microelectronics Complements: Elective Compulsory |
Course L3094: COSIMA (Competition in Microsystem Application) |
Typ | Project-/problem-based Learning |
Hrs/wk | 5 |
CP | 6 |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Lecturer | Prof. Hoc Khiem Trieu, Dozenten des Studiengangs |
Language | EN |
Cycle |
WiSe/ |
Content | |
Literature |
Thesis
Module M1801: Master thesis (dual study program) |
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Courses | ||||
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Module Responsible | Professoren der TUHH |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Dual students ...
|
Skills |
Dual students ...
|
Personal Competence | |
Social Competence |
Dual students ...
|
Autonomy |
Dual students ...
|
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 Systems: Thesis: Compulsory Environmental Engineering: Thesis: Compulsory Aircraft Systems Engineering: Thesis: Compulsory Computer Science in Engineering: Thesis: Compulsory Information and Communication Systems: Thesis: Compulsory International Management and Engineering: 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 Theoretical Mechanical Engineering: Thesis: Compulsory Process Engineering: Thesis: Compulsory Water and Environmental Engineering: Thesis: Compulsory |