Master Informationstechnik

Digitale Signalverarbeitung 1
PF

3 SWS

4 ECTS

Number
106070
Language(s)
de
Duration (semester)
1

Digitale Signalverarbeitung 2
PF

3 SWS

4 ECTS

Number
106080
Language(s)
de
Duration (semester)
1

Embedded System 1
PF

3 SWS

4 ECTS

Number
106110
Language(s)
de
Duration (semester)
1

Embedded System 2
PF

3 SWS

4 ECTS

Number
106120
Language(s)
de
Duration (semester)
1

Energiesystemtechnik
PF

3 SWS

8 ECTS

Number
60060
Language(s)
de
Duration (semester)
1

Energiewirtschaft
PF

3 SWS

8 ECTS

Number
60080
Language(s)
de
Duration (semester)
1

Fahrzeugelektronik
PF

3 SWS

8 ECTS

Number
60050
Language(s)
de
Duration (semester)
1

Höhere Mathematik 2
PF

3 SWS

4 ECTS

Number
106020
Language(s)
de
Duration (semester)
1

Höhere Mathematik 1
PF

3 SWS

4 ECTS

Number
106010
Language(s)
de
Duration (semester)
1

KI-Systeme 1
PF

3 SWS

4 ECTS

Number
106090
Language(s)
de
Duration (semester)
1

KI-Systeme 2
PF

3 SWS

4 ECTS

Number
106100
Language(s)
de
Duration (semester)
1

Kommunikationstechnik 1
PF

3 SWS

4 ECTS

Number
106050
Language(s)
de
Duration (semester)
1

Kommunikationstechnik 2
PF

3 SWS

4 ECTS

Number
106060
Language(s)
de
Duration (semester)
1

Projektarbeit 1
PF

6 SWS

6 ECTS

Number
60721 B84
Language(s)
de
Duration (semester)
1

Theoretische Elektrotechnik 2
PF

3 SWS

4 ECTS

Number
106040
Language(s)
de
Duration (semester)
1

Theoretische Elektrotechnik 1
PF

3 SWS

4 ECTS

Number
106030
Language(s)
de
Duration (semester)
1

Advanced Robotic Vision
WP

6 SWS

8 ECTS

Number
60682
Duration (semester)
1
Contact time
60
Self-study
120

Learning outcomes/competences

Knowledge

Knows concepts and structure of SW architectures for embedded systems
Knows standards and frameworks
Knows specific challenges (e.g. real time, functional safety)

Skills

Can define requirements and features for a specific problem
Can develop a SW architecture for a specific problem
Can model SW architectures with state of the art tools
Can apply SW architecture standards to structure a project

Competence - attitude

Ensures quality and safety for embedded SW
Can discuss and assess the advantages and disadvantages of different SW architectures
Understands the main issues within research about SW architectures for embedded systems

The ongoing complexity increase in mechatronic solutions consequently leads to more complex embedded systems and embedded software. Therefore, advanced SW engineering methodology from large software development projects is consecutively applied in the embedded world, too. Software architectures help to structure, to manage and to maintain large embedded SW systems. They allow re-use, design patterns and component based development. In addition, specific topics like safety, SW quality, integration and testing are addressed by SW architectures and respective standards (e.g. AUTOSAR). In this module, students learn about the concepts and structure of SW architectures for embedded systems.

Course Structure

Characteristics of Embedded (and real-time) Systems
Motivation for Architectures for Embedded and Mechatronic Systems
Software Design Architecture for Embedded and Mechatronic Systems
Patterns for Embedded and Mechatronic Systems
Real-Time Building Blocks: Events and Triggers
Dependable Systems
Hardware's Interface to Embedded and Mechatronic Systems
Layered Hierarchy for Embedded and Mechatronic Systems Development
Software Performance Engineering for Embedded and Mechatronic Systems
Optimizing Embedded and Mechatronic Systems for Memory and for Power
Software Quality, Integration and Testing Techniques for Embedded and Mechatronic Systems
Software Development Tools for Embedded and Mechatronic Systems
Multicore Software Development for Embedded and Mechatronic Systems
Safety-Critical Software Development for Embedded and Mechatronic Systems

Case Studies

CS01: AMALTHEA tool chain - front end will be used for modeling, Artop modeling tool for AUTOSAR will be used
CS05: M2M System - architecture of the middleware will be used

Skills trained in this course: theoretical, practical and methodological skills

Teaching methods

Lectures, Labs (with AMALTHEA and Artop tools), homework
Access to tools and tool tutorials
Access to recent research papers
Presentation of an industry case by partner BHTC GmbH

Participation requirements

programming, basics of embedded systems

Forms of examination

Oral Exam at the end of the course (50%) and
individual homework (50%): paper/essay on a recent research topic, presentation

Requirements for the awarding of credit points

MOD1-02 - Distributed and Parallel Systems
MOD1-03 - Embedded Software Engineering
MOD2-01 - Mechatronic Systems Engineering

Applicability of the module (in other degree programs)

Connects to:

MOD-E01 - Applied Embedded Systems 1 & 2
MOD-E03 - Automotive Systems

Importance of the grade for the final grade

5,00%

Literature

Robert Oshana and Mark Kraeling, Software Engineering for Embedded Systems: Methods, Practical Techniques, and Applications, Expert Guide, 2013
Bruce Powel Douglass. Doing Hard Time: Developing Real-Time Systems with UML, Objects, Frameworks and Patterns. Addison-Wesley, May 1999
Bruce P. Douglass, Real-Time Design Patterns: Robust Scalable Architecture For Real-Time Systems, Addison-Wesley, 2009
F. Buschmann, R. Meunier, H. Rohnert, P. Sommerlad, and M. Stal. Pattern Oriented Software Architecture. John Wiley & Sons, Inc., 1996

Angewandte biomechanische Messtechnik
WP

4 SWS

8 ECTS

Number
11222
Duration (semester)
1

Architekturen verteilter intelligenter Systeme
WP

3 SWS

4 ECTS

Number
60674
Language(s)
de
Duration (semester)
1

Automotive Systems
WP

3 SWS

4 ECTS

Number
60675
Language(s)
de
Duration (semester)
1

Biomedical Signal Processing
WP

6 SWS

8 ECTS

Number
60324
Language(s)
de
Duration (semester)
1

Computer Vision
WP

3 SWS

8 ECTS

Number
60317
Language(s)
de
Duration (semester)
1

Computer-Netzwerke 1
WP

3 SWS

4 ECTS

Number
106401
Duration (semester)
1

Computer-Netzwerke 2
WP

3 SWS

4 ECTS

Number
106402
Duration (semester)
1

Cyber Security A
WP

3 SWS

4 ECTS

Number
60636
Language(s)
de
Duration (semester)
1

Cyber Security A
WP

3 SWS

4 ECTS

Number
RMS
Duration (semester)
1

Cyber Security B
WP

4 SWS

6 ECTS

Number
60668
Language(s)
de
Duration (semester)
1

Cyber Security B
WP

4 SWS

6 ECTS

Number
RMS
Duration (semester)
1

Learning outcomes/competences

Test

Data Science und Softwareengineering 1
WP

3 SWS

4 ECTS

Number
106341
Language(s)
de
Duration (semester)
1

Data Science und Softwareengineering 2
WP

3 SWS

4 ECTS

Number
106351
Language(s)
de
Duration (semester)
1

Data-driven Development
WP

4 SWS

6 ECTS

Number
106391
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

Students learn the methodology for designing integrated circuits in the context of both analog and digital systems. In addition, students will be able to combine both design worlds and create complex mixed-signal systems. After attending the course, students will be able to analyze CMOS circuits and apply the acquired knowledge creatively in the design process. In addition, students receive an intensive introduction to the use of professional design tools that have become standard in the industry. Participants gain an insight into common mixed-signal design blocks such as analog-digital or digital-analog converters or phase-lock or delay-lock loops. Students are introduced to established verification methods such as the Unified Verification Methodology.

Submodule: Digital CMOS Design
-Overview Design Flow
-Hardware description languages: Verilog, System-C, Mixed-Language
-Synthesis
-Design Constraints
-Place & Route
-Design For Testibility (DFT)

Submodule: Analog CMOS circuit design
- MOS transistor model
- Short channel effects
- Noise
- Current mirror
- Operating point adjustment
- Inverting amplifier
- Differential amplifier
- Bandgap voltage reference
- Linear regulator

After teaching the basic topics, further insights are provided across all courses using concrete mixed-signal circuit examples such as ADC, DAC, PLL, DLL components and examined using common verification methods.

Teaching methods

Lecture, exercise, seminar, practical course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

Razavi, Design Of Analog Cmos Integrated Circuit , 2Nd Edition, McGraw-Hill
Baker, Cmos: Circuit Design, Layout, and Simulation, 4th Edition, Wiley-Blackwell
Allen, Holberg, CMOS Analog Circuit Design, Oxford University Press
Sansen, Analog Design Essentials, Springer
Hubert Kaeslin: "Top-Down Digital VLSI Design", Morgan Kaufmann, December 2014
Erik Brunvand, Digital VLSI Chip Design with Cadence and Synopsys CAD Tools, Pearson Education
Weste, Harris, CMOS VLSI Design, 4th edition, Addison-Wesley
Nikolic, Rabae, Chandrakasan, Digital Integrated Circuits: A Design Perspective, Pearson Education

Digital Automation and Control
WP

3 SWS

4 ECTS

Number
60673
Language(s)
de
Duration (semester)
1

Digital Design Lab
WP

3 SWS

4 ECTS

Number
60666
Language(s)
de
Duration (semester)
1

Digital Transmission Systems
WP

3 SWS

4 ECTS

Number
60669
Language(s)
de
Duration (semester)
1

Digitale Signalverarbeitung auf FPGAs
WP

3 SWS

4 ECTS

Number
106321
Language(s)
de
Duration (semester)
1

Drahtlose Sensornetzwerke / Aktornetzwerke
WP

3 SWS

4 ECTS

Number
60216
Language(s)
de
Duration (semester)
1

Elektromagnetische Feldsimulation
WP

3 SWS

4 ECTS

Number
60631
Language(s)
de
Duration (semester)
1

Elektronik 1 in der Medizintechnik
WP

3 SWS

4 ECTS

Number
11220
Duration (semester)
1

Elektronik 2 in der Medizintechnik
WP

3 SWS

4 ECTS

Number
11221
Duration (semester)
1

Embedded Systems
WP

3 SWS

8 ECTS

Number
60315
Language(s)
de
Duration (semester)
1

Embedded Systems for AI/ML
WP

3 SWS

4 ECTS

Number
11213
Language(s)
de
Duration (semester)
1

Energieübertragungstechnik
WP

0 SWS

8 ECTS

Number
RMS
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

Students will be familiar with the main energy transport equipment subjected to high voltage and will be able to explain and justify the design features resulting from their operational stress, in particular the insulation and arcing arrangements. On the basis of a thorough understanding of the basic ageing and failure mechanisms, students are able to analyze and optimize insulation and arcing arrangements and to further develop them independently or as part of a team. Students will be able to propose high-voltage tests and diagnostic procedures to check the solutions and for operational monitoring. Students will be able to transfer the knowledge and methods learned from selected examples of equipment to other equipment.
Students have knowledge of the effect and feedback of control components and compensation units in grids.
They have knowledge of the design and simulation of grid control systems.
They are able to solve complex tasks by independently selecting suitable tools (e.g. software tools MicroCap, Simplorer, NETOMAC or NEPLAN).

Technology of the energy transport:
- Energy transport equipment and its types of stress (AC, DC, mixed stress)
- Properties of insulating gases
- Partial discharge and breakdown processes of gaseous insulating arrangements
- Design and dimensioning of external insulating sections using the example of outdoor insulators
- Properties of solid insulation
- Ageing and failure mechanisms for solid insulation
- Design and dimensioning of inner insulating sections using the example of cast resin insulated transformers
- Properties of insulating liquids
- Ageing and failure mechanisms of liquid-insulated insulating arrangements
- Design and dimensioning of the internal insulation of transformers
- Physics of gas discharge and arcing
- Arc modeling and arc quenching
- Design and dimensioning of arcing arrangements using the example of disconnectors, load and circuit breakers, as well as arrester spark gaps
- Monitoring and diagnosis of the insulation arrangements in the equipment

Grid control:
- Active power and frequency control
- Primary control
- Secondary control
- Interconnected operation
- Reactive power and voltage control
- Voltage quality
- Generator control
- Transformer control
- Compensators
- STATCOM and SVC
- Power electronic components for energy technology

Teaching methods

Seminar course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

Beyer, Boeck, Möller, Zaengl, Hochspannungstechnik
Küchler, Andreas, Hochspannungstechnik
Schwab, Adolf, Hochspannungsmesstechnik
Spring, Eckhardt: Elektrische Energienetze, Energieübertragung und Verteilung
Heuck, Dettmann, Schulz: Elektrische Energieversorgung
Flosdorff, Hilgarth: Elektrische Energieverteilung
Schwab, A. J.: Elektroenergiesysteme

Extended Reality
WP

3 SWS

4 ECTS

Number
106361
Language(s)
de
Duration (semester)
1

Extended Reality
WP

3 SWS

4 ECTS

Number
RMS
Duration (semester)
1

Extended Reality 2
WP

6 SWS

8 ECTS

Number
106362
Duration (semester)
1

Fahrzeugvernetzung
WP

4 SWS

6 ECTS

Number
1063951
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

The course is based on the three components of a case study of a HW/SW project during the semester, the preparation of a publication on a current research question and an event with an industry representative. Students acquire the necessary skills to carry out HW/SW projects professionally using current methodology, to adapt and expand the methodology and to present and critically discuss such projects with experts in the field.

Technical and methodological competence:

Planning and implementing a development project for a hardware-software system (case study)
Analyze and assess which processes, methods and tools should be used in such a project (including SystemC, TLM, Mentor Vista Tools)
Know the model-driven approach and adapt and apply it appropriately in a case study
Analyze and structure the initial situation (a Viterbi decoder)
Determine requirements and design the solution and the solution path
Prepare a publication (+ literature research) for a smaller conference as group work (current research topic in the field of HW/SW codesign, English)

Social skills:

To work through the case study, the students form project teams and define the roles of the individual team members according to the roles in a HW/SW project (based on Belbin Test)
Project is planned independently using the methods and processes taught and its implementation is controlled by a project manager
Project concludes with a lessons learned workshop
Presentation at the conference (International Research Conference at Fachhochschule Dortmund) for publication (English)

Professional field orientation:

Presentation and discussion of a practical project by an industry representative
Students are then able to transfer their knowledge to a practical case and discuss it appropriately

Viterbi decoder case study
Development processes for HW/SW projects
Requirements analysis, test concept creation
System modeling, verification and validation
Target platforms
System partitioning, representation using graphs
System synthesis, code generation, HW/SW coverfication
Use of SystemC, TLM, Mentor Vista
Basics of project management for engineering projects, team organization
Writing a publication (in English) + presentation
Example of a complex real HW/SW project, discussion with an industry representative

Teaching methods

Lecture in interaction with the students, with blackboard writing and projection
Seminar-style teaching with flipchart, smartboard or projection

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written examination paper or oral examination (according to the current examination schedule)

Requirements for the awarding of credit points

passed written examination or passed oral examination (according to current examination schedule)

Applicability of the module (in other degree programs)

Master's degree in Computer Science

Literature

Teich, J.; Haubelt, C.: Digitale Hardware/Software-Systeme, Synthese und Optimierung, 2. Auflage, Springer, 2007
Marwedel, P.: Eingebettete Systeme, Springer, 2008
Martin, G.; Bailey, B.: ESL Models and their Application: Electronic System Level Design and Verification in Practice, Springer, 2010
Schaumont, P.: A Practical Introduction to Hardware/Software Codesign, 2nd Edition, Springer, 2012
Angermann, A.; Beuschel, M.; Rau, M.; Wohlfahrt, U.: MATLAB - Simulink - Stateflow, 5. Auflage, Oldenbourg, 2007
Sammlung von Veröffentlichungen und Präsentationen im ILIAS

Gebäudekommunikations- und Managementsysteme
WP

3 SWS

4 ECTS

Number
60632
Language(s)
de
Duration (semester)
1

Hardware-Software-CoDesign
WP

3 SWS

4 ECTS

Number
106331
Language(s)
de
Duration (semester)
1

Hardware/Software Kodesign
WP

4 SWS

5 ECTS

Number
RMS
Language(s)
de
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

The course is based on the three components of a case study of a HW/SW project during the semester, the preparation of a publication on a current research question and an event with an industry representative. Students acquire the necessary skills to carry out HW/SW projects professionally using current methodology, to adapt and expand the methodology and to present and critically discuss such projects with experts in the field.

Technical and methodological competence:

Planning and implementing a development project for a hardware-software system (case study)
Analyze and assess which processes, methods and tools should be used in such a project (including SystemC, TLM, Mentor Vista Tools)
Know the model-driven approach and adapt and apply it appropriately in a case study
Analyze and structure the initial situation (a Viterbi decoder)
Determine requirements and design the solution and the solution path
Prepare a publication (+ literature research) for a smaller conference as group work (current research topic in the field of HW/SW codesign, English)

Social skills:

To work through the case study, the students form project teams and define the roles of the individual team members according to the roles in a HW/SW project (based on Belbin Test)
Project is planned independently using the methods and processes taught and its implementation is controlled by a project manager
Project concludes with a lessons learned workshop
Presentation at the conference (International Research Conference at Fachhochschule Dortmund) for publication (English)

Professional field orientation:

Presentation and discussion of a practical project by an industry representative
Students are then able to transfer their knowledge to a practical case and discuss it appropriately

Viterbi decoder case study
Development processes for HW/SW projects
Requirements analysis, test concept creation
System modeling, verification and validation
Target platforms
System partitioning, representation using graphs
System synthesis, code generation, HW/SW coverfication
Use of SystemC, TLM, Mentor Vista
Basics of project management for engineering projects, team organization
Writing a publication (in English) + presentation
Example of a complex real HW/SW project, discussion with an industry representative

Teaching methods

Lecture in interaction with the students, with blackboard writing and projection
Seminar-style teaching with flipchart, smartboard or projection

Participation requirements

See the respective valid examination regulations (BPO/MPO) of the study program.

Forms of examination

written examination paper or oral examination (according to the current examination schedule)

Requirements for the awarding of credit points

passed written examination or passed oral examination (according to current examination schedule)

Applicability of the module (in other degree programs)

Master's degree in Computer Science

Literature

Teich, J.; Haubelt, C.: Digitale Hardware/Software-Systeme, Synthese und Optimierung, 2. Auflage, Springer, 2007
Marwedel, P.: Eingebettete Systeme, Springer, 2008
Martin, G.; Bailey, B.: ESL Models and their Application: Electronic System Level Design and Verification in Practice, Springer, 2010
Schaumont, P.: A Practical Introduction to Hardware/Software Codesign, 2nd Edition, Springer, 2012
Angermann, A.; Beuschel, M.; Rau, M.; Wohlfahrt, U.: MATLAB - Simulink - Stateflow, 5. Auflage, Oldenbourg, 2007
Sammlung von Veröffentlichungen und Präsentationen im ILIAS

IOT Systems and Services
WP

3 SWS

4 ECTS

Number
60677
Language(s)
de
Duration (semester)
1

IT-Sicherheit und Datenmanagement
WP

6 SWS

8 ECTS

Number
RMS
Language(s)
de
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

Students have detailed knowledge of the requirements and designs of secure IT systems and robust data systems for the control and monitoring of critical infrastructures. In particular, they are familiar with the legal requirements of the IT Security Act, BSI Act, BSI Criticism Ordinances, IT Security Catalog (EnWG §11Abs. 1a) and (EnWG §11Abs. 1b) as well as the implementation instructions of the standards DIN ISO/IEC 27001, DIN ISO/IEC 27002 and DIN ISO/IEC TR 27019 for the assets within the scope of application, such as control and telecommunications systems, IT inventory systems, such as EDM, GIS, market communication and process control systems. The necessary technical and organizational measures for the secure operation of the critical infrastructure can be derived and a comprehensive risk analysis, assessment and treatment can be prepared. This includes measures for data backup, test procedures, hardware and software system hardening as well as the use of cryptographic procedures. In addition to specialist knowledge, students also acquire key qualifications in this module. In the Data Science sub-module, students first learn the basic principles of digital processing, analysis and representation of data structures against the background of technical process data. Subsequently, various algorithms and techniques for pattern recognition, classification and prediction based on these digital data structures are covered and the knowledge is deepened using practical examples and self-made implementations. One focus of the Data Science module is on the field of machine learning, in which decision structures are made on the basis of trained data and no explicit programming is carried out;

IT (information security) security in energy grids:
- Threat situation and potential threats to critical infrastructures, in particular energy networks (TSOs, DSOs) (further consideration of the intelligent metering point operator (iMSO) and energy systems)
- statutory requirements (IT Security Act, BSI Act, BSI Criticality Ordinances, IT Security Catalog (EnWG §11 para. 1a), IT Security Catalog (EnWG §11 para. 1b), BSI Technical Guideline (TR-03109))
- Critical business processes and their modeling (notation: EPK, BPMN2.0, ...)
- Standards (DIN ISO/IEC 27001, DIN ISO/IEC 27002, DIN ISO/IEC TR 27019, TR-3109-x (BSI))
- Management system (information security and data protection)
- Risk management (protection requirements, assets, threats, vulnerabilities, damage categories according to the IT security catalog of the BNetzA (Federal Network Agency))
- Information security measures (cryptographic procedures, logging and monitoring, control of access to systems and applications / hash functions)

Data science:
- Data processing: raw and finished data
- Characteristics, variable data and missing data (substitute values)
- Data imports and various data formats
- Data presentation (graphical, tabular), data cockpit
- Regression and classification algorithms
- Supervised and unsupervised learning
- Activation functions

Teaching methods

Seminar-based course, practical implementation of the construction and testing of a secure and robust data system for controlling and monitoring energy networks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Appelrath, H, u.a. 2012. IT-Architekturentwicklung im Smart Grid.
bitkom und VKU. 2015. Praxisleitfaden IT-Sicherheits-katalog.
BDEW: Whitepaper- Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BDEW: Ausführungshinweise zur Anwendung des Whitepaper - Anforderungen an sichere Steuerungs- und Telekommunkationssysteme
BDEW: Checkliste zum Whitepaper - Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BSI: Technische Richtlinie TR-03109, TR-03109-1 bis TR-03109-6 sowie Testspezifikationen (TS)
BSI (Bundesamt für Sicherheit in der Informationstechnik). 2015. KRITIS-Sektorstudie – Energie.
Klipper, S. 2015. Information Security Risk Manage-ment. Springer Verlag.
FNN/DVGW. 2015. Informationssicherheit in der Energiewirtschaft.
VDE. 2014. Positionspapier Smart Grid Security Energieinformationsnetze und –systeme.
Kävrestad, J. 2018. Fundamentals of Digital Forensics Theory, Methods, and Real-Life Applications. Berlin. Springer‐Verlag.
Kersten, H. und G. Klett. 2017. Business Continuity und IT-Notfallmanagement. Grundlagen, Methoden und Konzepte. Springer Verlag.
Witte, F. 2016. Testmanagement und Softwaretest. Theoretische Grundlagen und praktische Umsetzung. Springer Verlag
Paar und Pelzl. 2016. Kryptografie verständlich Ein Lehrbuch für Studierende und Anwender. Berlin: Springer‐Verlag.
Eckert, C.: IT-Sicherheit: Konzepte - Verfahren - Protokolle, De Gruyter Oldenbourg
Ng, Soo: Data Science - was ist das eigentlich?!
Nelli: Python Data Analytics
Yan, Yan: Hands-On Data Science with Anaconda
VanderPlas: Data Science mit Python
Frochte: Maschinelles Lernen: Grundlagen und Algorithmen in Python

Innovative Beleuchtungssysteme - Qualität, Technik, Design und Digitalisierung
WP

4 SWS

6 ECTS

Number
106371
Language(s)
de
Duration (semester)
1

Innovative Beleuchtungssysteme – Qualität, Technik, Design und Digitalisierung (light)
WP

2 SWS

3 ECTS

Number
106381
Language(s)
de
Duration (semester)
1

Intelligente Antriebssysteme
WP

0 SWS

8 ECTS

Number
RMS
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

Students have in-depth theoretical and practical knowledge of the development, dimensioning and programming of modern electronic drives in drive and automation technology. They are able to develop suitable control algorithms on the basis of existing practical tasks and take the properties of the existing components into account when implementing them.

Electronic drives:
In the course "Electronic drives", modern electronic drives are presented in terms of structure and function. The power electronic components are discussed in detail and the various control and regulation methods of the associated hardware are explained. Practical investigations, simulations and dimensioning examples supplement and deepen the course content.

Contents:
- Sensors in drive technology
- Servo controllers and frequency converters
- Modeling, pulse pattern generation and control methods
- Electronic drives (BLDC, servomotors, stepper motors)
- Concepts for the energy-efficient use of drive systems
- Application examples

Modern drive controls:
In the course "Modern Drive Controls", various control loop structures and design methods, typical application problems of control with possible solution approaches are first dealt with. The applications of the methods for controlling electric drives are then explained in detail with examples and simulated with computer support.

Contents:
- Control loop structures
- Typical control engineering application problems
- Speed, torque and position control
- Control of the direct current machine
- Control methods for rotary field machines

Teaching methods

Seminar-based course, practical metrological investigations on electronic drive systems, simulations systems, simulations

Participation requirements

Formally, the requirements of the respective valid examination regulations applyContent: Attendance of the course Drive Systems Technology

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

Brosch: Moderne Stromrichterantriebe
Schröder: Elektrische Antriebe - Regelung von Antriebssystemem
Riefenstahl.: Elektrische Antriebssysteme
Teigelkötter: Energieeffizient elektrische Antriebe
Probst: Servoantriebe in der Automatisierungstechnik
Zirn, Weikert: Modellbildung und Simulation hochdynamischer Fertigungssysteme

Intelligente Energienetze
WP

3 SWS

4 ECTS

Number
60672
Language(s)
de
Duration (semester)
1

Intelligente Sensoren und Aktoren
WP

3 SWS

4 ECTS

Number
60633
Language(s)
de
Duration (semester)
1

Interaktions- und Visualisierungssysteme
WP

3 SWS

4 ECTS

Number
60634
Language(s)
de
Duration (semester)
1

Internet of Things (in Smart Homes, Smart Buildings, Smart Cities)
WP

3 SWS

8 ECTS

Number
60684
Duration (semester)
1

Kommunikationssoftware
WP

3 SWS

4 ECTS

Number
60211
Language(s)
de
Duration (semester)
1

Kommunikationssoftware
WP

0 SWS

8 ECTS

Number
60212
Language(s)
de
Duration (semester)
1

Management und Planung von F+E-Projekten
WP

3 SWS

8 ECTS

Number
60611
Language(s)
de
Duration (semester)
1

Mikrosysteme in der Messtechnik
WP

0 SWS

8 ECTS

Number
60515
Language(s)
de
Duration (semester)
1

Mixed-Signal CMOS Design
WP

0 SWS

8 ECTS

Number
RMS
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

Students learn the methodology for designing integrated circuits in the context of both analog and digital systems. In addition, students will be able to combine both design worlds and create complex mixed-signal systems. After attending the course, students will be able to analyze CMOS circuits and apply the acquired knowledge creatively in the design process. In addition, students receive an intensive introduction to the use of professional design tools that have become standard in the industry. Participants gain an insight into common mixed-signal design blocks such as analog-digital or digital-analog converters or phase-lock or delay-lock loops. Students are introduced to established verification methods such as the Unified Verification Methodology.

Submodule: Digital CMOS Design
-Overview Design Flow
-Hardware description languages: Verilog, System-C, Mixed-Language
-Synthesis
-Design Constraints
-Place & Route
-Design For Testibility (DFT)

Submodule: Analog CMOS circuit design
- MOS transistor model
- Short channel effects
- Noise
- Current mirror
- Operating point adjustment
- Inverting amplifier
- Differential amplifier
- Bandgap voltage reference
- Linear regulator

After teaching the basic topics, further insights are provided across all courses using concrete mixed-signal circuit examples such as ADC, DAC, PLL, DLL components and examined using common verification methods.

Teaching methods

Lecture, exercise, seminar, practical course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

Razavi, Design Of Analog Cmos Integrated Circuit , 2Nd Edition, McGraw-Hill
Baker, Cmos: Circuit Design, Layout, and Simulation, 4th Edition, Wiley-Blackwell
Allen, Holberg, CMOS Analog Circuit Design, Oxford University Press
Sansen, Analog Design Essentials, Springer
Hubert Kaeslin: "Top-Down Digital VLSI Design", Morgan Kaufmann, December 2014
Erik Brunvand, Digital VLSI Chip Design with Cadence and Synopsys CAD Tools, Pearson Education
Weste, Harris, CMOS VLSI Design, 4th edition, Addison-Wesley
Nikolic, Rabae, Chandrakasan, Digital Integrated Circuits: A Design Perspective, Pearson Education

Mobile Kommunikationssysteme
WP

3 SWS

4 ECTS

Number
60637
Language(s)
de
Duration (semester)
1

Nachhaltigkeit in smarten Technologien und Gesellschaft
WP

3 SWS

4 ECTS

Number
60679
Language(s)
de
Duration (semester)
1

Neurotechnology and Brain-Computer Interfaces
WP

3 SWS

4 ECTS

Number
11224
Language(s)
de
Duration (semester)
1

Projektmanagement und Projektplanung
WP

3 SWS

8 ECTS

Number
60122
Language(s)
de
Duration (semester)
1

Projektmanagement und Projektplanung
WP

3 SWS

4 ECTS

Number
60683
Language(s)
de
Duration (semester)
1

Qualitätsmanagement
WP

3 SWS

4 ECTS

Number
60625
Language(s)
de
Duration (semester)
1

Radar Systems
WP

4 SWS

6 ECTS

Number
10420
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

Students have detailed knowledge of the requirements and designs of secure IT systems and robust data systems for the control and monitoring of critical infrastructures. In particular, they are familiar with the legal requirements of the IT Security Act, BSI Act, BSI Criticism Ordinances, IT Security Catalog (EnWG §11Abs. 1a) and (EnWG §11Abs. 1b) as well as the implementation instructions of the standards DIN ISO/IEC 27001, DIN ISO/IEC 27002 and DIN ISO/IEC TR 27019 for the assets within the scope of application, such as control and telecommunications systems, IT inventory systems, such as EDM, GIS, market communication and process control systems. The necessary technical and organizational measures for the secure operation of the critical infrastructure can be derived and a comprehensive risk analysis, assessment and treatment can be prepared. This includes measures for data backup, test procedures, hardware and software system hardening as well as the use of cryptographic procedures. In addition to specialist knowledge, students also acquire key qualifications in this module. In the Data Science sub-module, students first learn the basic principles of digital processing, analysis and representation of data structures against the background of technical process data. Subsequently, various algorithms and techniques for pattern recognition, classification and prediction based on these digital data structures are covered and the knowledge is deepened using practical examples and self-made implementations. One focus of the Data Science module is on the field of machine learning, in which decision structures are made on the basis of trained data and no explicit programming is carried out;

IT (information security) security in energy grids:
- Threat situation and potential threats to critical infrastructures, in particular energy networks (TSOs, DSOs) (further consideration of the intelligent metering point operator (iMSO) and energy systems)
- statutory requirements (IT Security Act, BSI Act, BSI Criticality Ordinances, IT Security Catalog (EnWG §11 para. 1a), IT Security Catalog (EnWG §11 para. 1b), BSI Technical Guideline (TR-03109))
- Critical business processes and their modeling (notation: EPK, BPMN2.0, ...)
- Standards (DIN ISO/IEC 27001, DIN ISO/IEC 27002, DIN ISO/IEC TR 27019, TR-3109-x (BSI))
- Management system (information security and data protection)
- Risk management (protection requirements, assets, threats, vulnerabilities, damage categories according to the IT security catalog of the BNetzA (Federal Network Agency))
- Information security measures (cryptographic procedures, logging and monitoring, control of access to systems and applications / hash functions)

Data science:
- Data processing: raw and finished data
- Characteristics, variable data and missing data (substitute values)
- Data imports and various data formats
- Data presentation (graphical, tabular), data cockpit
- Regression and classification algorithms
- Supervised and unsupervised learning
- Activation functions

Teaching methods

Seminar-based course, practical implementation of the construction and testing of a secure and robust data system for controlling and monitoring energy networks.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam (depending on the number of participants and in consultation with the whole course)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

Appelrath, H, u.a. 2012. IT-Architekturentwicklung im Smart Grid.
bitkom und VKU. 2015. Praxisleitfaden IT-Sicherheits-katalog.
BDEW: Whitepaper- Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BDEW: Ausführungshinweise zur Anwendung des Whitepaper - Anforderungen an sichere Steuerungs- und Telekommunkationssysteme
BDEW: Checkliste zum Whitepaper - Anforderungen an sichere Steuerungs- und Telekommunikationssysteme
BSI: Technische Richtlinie TR-03109, TR-03109-1 bis TR-03109-6 sowie Testspezifikationen (TS)
BSI (Bundesamt für Sicherheit in der Informationstechnik). 2015. KRITIS-Sektorstudie – Energie.
Klipper, S. 2015. Information Security Risk Manage-ment. Springer Verlag.
FNN/DVGW. 2015. Informationssicherheit in der Energiewirtschaft.
VDE. 2014. Positionspapier Smart Grid Security Energieinformationsnetze und –systeme.
Kävrestad, J. 2018. Fundamentals of Digital Forensics Theory, Methods, and Real-Life Applications. Berlin. Springer‐Verlag.
Kersten, H. und G. Klett. 2017. Business Continuity und IT-Notfallmanagement. Grundlagen, Methoden und Konzepte. Springer Verlag.
Witte, F. 2016. Testmanagement und Softwaretest. Theoretische Grundlagen und praktische Umsetzung. Springer Verlag
Paar und Pelzl. 2016. Kryptografie verständlich Ein Lehrbuch für Studierende und Anwender. Berlin: Springer‐Verlag.
Eckert, C.: IT-Sicherheit: Konzepte - Verfahren - Protokolle, De Gruyter Oldenbourg
Ng, Soo: Data Science - was ist das eigentlich?!
Nelli: Python Data Analytics
Yan, Yan: Hands-On Data Science with Anaconda
VanderPlas: Data Science mit Python
Frochte: Maschinelles Lernen: Grundlagen und Algorithmen in Python

Reinforcement Learning
WP

3 SWS

4 ECTS

Number
60681
Language(s)
de
Duration (semester)
1

Robotic Vision
WP

6 SWS

8 ECTS

Number
60680
Language(s)
de
Duration (semester)
1

Robotics
WP

6 SWS

8 ECTS

Number
60123
Language(s)
de
Duration (semester)
1

Ruhr Master School
WP

3 SWS

8 ECTS

Number
60704
Language(s)
de
Duration (semester)
1

Ruhr Master School
WP

2 SWS

8 ECTS

Number
60701
Language(s)
de
Duration (semester)
1

Semantik und Datenmodelle
WP

3 SWS

4 ECTS

Number
60678
Language(s)
de
Duration (semester)
1

Sensorik
WP

3 SWS

8 ECTS

Number
60513
Language(s)
de
Duration (semester)
1

Service orientierte Anwendungen und Dienste
WP

3 SWS

4 ECTS

Number
11223
Language(s)
de
Duration (semester)
1

Signals and Systems for Automated Driving
WP

4 SWS

6 ECTS

Number
10404
Language(s)
de
Duration (semester)
1

Signalverarbeitung in der Kommunikationstechnik
WP

0 SWS

8 ECTS

Number
60640
Language(s)
de
Duration (semester)
1

Signalübertragung
WP

3 SWS

8 ECTS

Number
60313
Language(s)
de
Duration (semester)
1

Software Engineering
WP

3 SWS

8 ECTS

Number
60512
Language(s)
de
Duration (semester)
1

Statistik
WP

3 SWS

4 ECTS

Number
11012
Language(s)
de
Duration (semester)
1

Verteilte Energieinformationssysteme- und Anwendungen
WP

3 SWS

4 ECTS

Number
11218
Duration (semester)
1
Contact time
60
Self-study
120

Learning outcomes/competences

Knowledge

Knows standards and platforms for specific domain
Knows target systems
Has acquired overview of target domain

Skills

Can describe relevant characteristics and challenges of application domain
Can model mechatronic systems for the domain
Can apply methodology and state of the art tools on real use cases
Can select tools and define tool chains and design flows

Competence - attitude

Can structure a real mechatronic systems design project
Can communicate and find solutions with domain experts
Understands issues from application domains and can integrate solutions into a holistic design

Applied embedded systems such as embedded controllers for industrial (i.e. robotics) applications are surrounded from sensors and actuators. Together with other embedded systems they can be groups of networked computers, which have a common goal for their work. This course gives an overview about the recent state of the art in embedded and cyber physical systems. Each semester, a selected CPS application will be analyzed in depth. This can be from robotic, energy, mobile communications or industrial scenarios (industry 4.0). The student will learn how to explore and structure a certain application domain and how to map the acquired skills and knowledge to that particular domain. CPS applications will be selected from recent research projects.

Course Structure

Introduction to the application domain
Characteristics of CPS in the application domain
Architectures for application specific CPS
1. Standards
2. Platforms and Frameworks
3. Design methodology and processes
Domain specific languages (DSL) and applications
1. DSL engineering
2. Tools and Tool Chain Integration
Target Platforms and Code Generation
1. Code generation
2. Using real time operating systems (RTOS)

Case Studies

CS01: AMALTHEA tool chain - will be used for case study
A recent use case from a research project will be discussed

Skills trained in this course: theoretical, practical and methodological skills

Teaching methods

Lectures, Labs (with AMALTHEA tools), homework
Access to tools and tool tutorials
Access to recent research papers

Participation requirements

none

Forms of examination

Oral Exam at the end of the course (50%) and
group work as homework (50%): modeling and target mapping of an example with AMALTHEA tools, demonstration and presentation

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

Requires:

MOD1-02 - Distributed and Parallel Systems
MOD1-03 - Embedded Software Engineering

Connects to:

MOD-E02 - Biomedical Systems
MOD-E04 - SW Architectures for Embedded Systems
MOD-E03 - Automotive Systems

Importance of the grade for the final grade

5,00%

Literature

AMALTHEA documentation
Research papers of PIMES research group:
http://www.fh-dortmund.de/en/fb/3/forschung/pimes/Eigene_Veroeffentlichungen.php

WP anerkannt
WP

5 SWS

8 ECTS

Number
60671
Language(s)
de
Duration (semester)
1

WP anerkannt
WP

3 SWS

8 ECTS

Number
60670
Language(s)
de
Duration (semester)
1

Wearables
WP

6 SWS

8 ECTS

Number
11208
Duration (semester)
1

Learning outcomes/competences

Test

Wellendigitalfilter
WP

3 SWS

4 ECTS

Number
60220
Language(s)
de
Duration (semester)
1

Wellendigitalfilter 2
WP

3 SWS

8 ECTS

Number
60663
Language(s)
de
Duration (semester)
1

Wireless Digital Communication
WP

3 SWS

4 ECTS

Number
11219
Duration (semester)
1

Projektarbeit 2
PF

6 SWS

6 ECTS

Number
60722
Language(s)
de
Duration (semester)
1

Applied Embedded Systems
WP

4 SWS

6 ECTS

Number
RMS
Language(s)
en
Duration (semester)
1
Contact time
60
Self-study
120

Learning outcomes/competences

Knowledge

Knows standards and platforms for specific domain
Knows target systems
Has acquired overview of target domain

Skills

Can describe relevant characteristics and challenges of application domain
Can model mechatronic systems for the domain
Can apply methodology and state of the art tools on real use cases
Can select tools and define tool chains and design flows

Competence - attitude

Can structure a real mechatronic systems design project
Can communicate and find solutions with domain experts
Understands issues from application domains and can integrate solutions into a holistic design

Applied embedded systems such as embedded controllers for industrial (i.e. robotics) applications are surrounded from sensors and actuators. Together with other embedded systems they can be groups of networked computers, which have a common goal for their work. This course gives an overview about the recent state of the art in embedded and cyber physical systems. Each semester, a selected CPS application will be analyzed in depth. This can be from robotic, energy, mobile communications or industrial scenarios (industry 4.0). The student will learn how to explore and structure a certain application domain and how to map the acquired skills and knowledge to that particular domain. CPS applications will be selected from recent research projects.

Course Structure

Introduction to the application domain
Characteristics of CPS in the application domain
Architectures for application specific CPS
1. Standards
2. Platforms and Frameworks
3. Design methodology and processes
Domain specific languages (DSL) and applications
1. DSL engineering
2. Tools and Tool Chain Integration
Target Platforms and Code Generation
1. Code generation
2. Using real time operating systems (RTOS)

Case Studies

CS01: AMALTHEA tool chain - will be used for case study
A recent use case from a research project will be discussed

Skills trained in this course: theoretical, practical and methodological skills

Teaching methods

Lectures, Labs (with AMALTHEA tools), homework
Access to tools and tool tutorials
Access to recent research papers

Participation requirements

none

Forms of examination

Oral Exam at the end of the course (50%) and
group work as homework (50%): modeling and target mapping of an example with AMALTHEA tools, demonstration and presentation

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

Requires:

MOD1-02 - Distributed and Parallel Systems
MOD1-03 - Embedded Software Engineering

Connects to:

MOD-E02 - Biomedical Systems
MOD-E04 - SW Architectures for Embedded Systems
MOD-E03 - Automotive Systems

Importance of the grade for the final grade

5,00%

Literature

AMALTHEA documentation
Research papers of PIMES research group:
http://www.fh-dortmund.de/en/fb/3/forschung/pimes/Eigene_Veroeffentlichungen.php

SW Architectures for Embedded and Mechatronic Systems
WP

4 SWS

6 ECTS

Number
RMS
Language(s)
en
Duration (semester)
1
Contact time
60
Self-study
120

Learning outcomes/competences

Knowledge

Knows concepts and structure of SW architectures for embedded systems
Knows standards and frameworks
Knows specific challenges (e.g. real time, functional safety)

Skills

Can define requirements and features for a specific problem
Can develop a SW architecture for a specific problem
Can model SW architectures with state of the art tools
Can apply SW architecture standards to structure a project

Competence - attitude

Ensures quality and safety for embedded SW
Can discuss and assess the advantages and disadvantages of different SW architectures
Understands the main issues within research about SW architectures for embedded systems

The ongoing complexity increase in mechatronic solutions consequently leads to more complex embedded systems and embedded software. Therefore, advanced SW engineering methodology from large software development projects is consecutively applied in the embedded world, too. Software architectures help to structure, to manage and to maintain large embedded SW systems. They allow re-use, design patterns and component based development. In addition, specific topics like safety, SW quality, integration and testing are addressed by SW architectures and respective standards (e.g. AUTOSAR). In this module, students learn about the concepts and structure of SW architectures for embedded systems.

Course Structure

Characteristics of Embedded (and real-time) Systems
Motivation for Architectures for Embedded and Mechatronic Systems
Software Design Architecture for Embedded and Mechatronic Systems
Patterns for Embedded and Mechatronic Systems
Real-Time Building Blocks: Events and Triggers
Dependable Systems
Hardware's Interface to Embedded and Mechatronic Systems
Layered Hierarchy for Embedded and Mechatronic Systems Development
Software Performance Engineering for Embedded and Mechatronic Systems
Optimizing Embedded and Mechatronic Systems for Memory and for Power
Software Quality, Integration and Testing Techniques for Embedded and Mechatronic Systems
Software Development Tools for Embedded and Mechatronic Systems
Multicore Software Development for Embedded and Mechatronic Systems
Safety-Critical Software Development for Embedded and Mechatronic Systems

Case Studies

CS01: AMALTHEA tool chain - front end will be used for modeling, Artop modeling tool for AUTOSAR will be used
CS05: M2M System - architecture of the middleware will be used

Skills trained in this course: theoretical, practical and methodological skills

Teaching methods

Lectures, Labs (with AMALTHEA and Artop tools), homework
Access to tools and tool tutorials
Access to recent research papers
Presentation of an industry case by partner BHTC GmbH

Participation requirements

programming, basics of embedded systems

Forms of examination

Oral Exam at the end of the course (50%) and
individual homework (50%): paper/essay on a recent research topic, presentation

Requirements for the awarding of credit points

MOD1-02 - Distributed and Parallel Systems
MOD1-03 - Embedded Software Engineering
MOD2-01 - Mechatronic Systems Engineering

Applicability of the module (in other degree programs)

Connects to:

MOD-E01 - Applied Embedded Systems 1 & 2
MOD-E03 - Automotive Systems

Importance of the grade for the final grade

5,00%

Literature

Robert Oshana and Mark Kraeling, Software Engineering for Embedded Systems: Methods, Practical Techniques, and Applications, Expert Guide, 2013
Bruce Powel Douglass. Doing Hard Time: Developing Real-Time Systems with UML, Objects, Frameworks and Patterns. Addison-Wesley, May 1999
Bruce P. Douglass, Real-Time Design Patterns: Robust Scalable Architecture For Real-Time Systems, Addison-Wesley, 2009
F. Buschmann, R. Meunier, H. Rohnert, P. Sommerlad, and M. Stal. Pattern Oriented Software Architecture. John Wiley & Sons, Inc., 1996

Masterstudienarbeit
PF

3 SWS

14 ECTS

Number
120
Language(s)
de
Duration (semester)
1

Thesis und Kolloquium
PF

3 SWS

4 ECTS

Number
101
Language(s)
de
Duration (semester)
1

1. Semester	2. Semester	3. Semester	4. Semester
Digitale Signalverarbeitung 1 PF 3SWS 4ECTS	Projektarbeit 2 PF 6SWS 6ECTS	Masterstudienarbeit PF 3SWS 14ECTS	Thesis und Kolloquium PF 3SWS 4ECTS
Digitale Signalverarbeitung 2 PF 3SWS 4ECTS	Compulsory elective modules (2)
Embedded System 1 PF 3SWS 4ECTS
Embedded System 2 PF 3SWS 4ECTS
Energiesystemtechnik PF 3SWS 8ECTS
Energiewirtschaft PF 3SWS 8ECTS
Fahrzeugelektronik PF 3SWS 8ECTS
Höhere Mathematik 2 PF 3SWS 4ECTS
Höhere Mathematik 1 PF 3SWS 4ECTS
KI-Systeme 1 PF 3SWS 4ECTS
KI-Systeme 2 PF 3SWS 4ECTS
Kommunikationstechnik 1 PF 3SWS 4ECTS
Kommunikationstechnik 2 PF 3SWS 4ECTS
Projektarbeit 1 PF 6SWS 6ECTS
Theoretische Elektrotechnik 2 PF 3SWS 4ECTS
Theoretische Elektrotechnik 1 PF 3SWS 4ECTS
Compulsory elective modules (74)

Study plan

Digitale Signalverarbeitung 1

Projektarbeit 2

Masterstudienarbeit

Thesis und Kolloquium

Digitale Signalverarbeitung 2

Compulsory elective modules (2)

Embedded System 1

Embedded System 2

Energiesystemtechnik

Energiewirtschaft

Fahrzeugelektronik

Höhere Mathematik 2

Höhere Mathematik 1

KI-Systeme 1

KI-Systeme 2

Kommunikationstechnik 1

Kommunikationstechnik 2

Projektarbeit 1

Theoretische Elektrotechnik 2

Theoretische Elektrotechnik 1

Compulsory elective modules (74)

Compulsory elective modules 1. Semester

Advanced Robotic Vision

Angewandte biomechanische Messtechnik

Architekturen verteilter intelligenter Systeme

Automotive Systems

Biomedical Signal Processing

Computer Vision

Computer-Netzwerke 1

Computer-Netzwerke 2

Cyber Security A

Cyber Security A

Cyber Security B

Cyber Security B

Data Science und Softwareengineering 1

Data Science und Softwareengineering 2

Data-driven Development

Digital Automation and Control

Digital Design Lab

Digital Transmission Systems

Digitale Signalverarbeitung auf FPGAs

Drahtlose Sensornetzwerke / Aktornetzwerke

Elektromagnetische Feldsimulation

Elektronik 1 in der Medizintechnik

Elektronik 2 in der Medizintechnik

Embedded Systems

Embedded Systems for AI/ML

Energieübertragungstechnik

Extended Reality

Extended Reality

Extended Reality 2

Fahrzeugvernetzung

Gebäudekommunikations- und Managementsysteme

Hardware-Software-CoDesign

Hardware/Software Kodesign

IOT Systems and Services

IT-Sicherheit und Datenmanagement

Innovative Beleuchtungssysteme - Qualität, Technik, Design und Digitalisierung

Innovative Beleuchtungssysteme – Qualität, Technik, Design und Digitalisierung (light)

Intelligente Antriebssysteme

Intelligente Energienetze

Intelligente Sensoren und Aktoren

Interaktions- und Visualisierungssysteme

Internet of Things (in Smart Homes, Smart Buildings, Smart Cities)

Kommunikationssoftware

Kommunikationssoftware

Management und Planung von F+E-Projekten

Mikrosysteme in der Messtechnik

Mixed-Signal CMOS Design

Mobile Kommunikationssysteme

Nachhaltigkeit in smarten Technologien und Gesellschaft

Neurotechnology and Brain-Computer Interfaces

Projektmanagement und Projektplanung

Projektmanagement und Projektplanung

Qualitätsmanagement

Radar Systems

Reinforcement Learning

Robotic Vision

Robotics

Digitale Signalverarbeitung 1
PF

3 SWS

4 ECTS

Digitale Signalverarbeitung 2
PF

3 SWS

4 ECTS

Embedded System 1
PF

3 SWS

4 ECTS

Embedded System 2
PF

3 SWS

4 ECTS

Energiesystemtechnik
PF

3 SWS

8 ECTS

Energiewirtschaft
PF

3 SWS

8 ECTS

Fahrzeugelektronik
PF

3 SWS

8 ECTS

Höhere Mathematik 2
PF

3 SWS

4 ECTS

Höhere Mathematik 1
PF

3 SWS

4 ECTS

KI-Systeme 1
PF

3 SWS

4 ECTS

KI-Systeme 2
PF

3 SWS

4 ECTS

Kommunikationstechnik 1
PF

3 SWS

4 ECTS

Kommunikationstechnik 2
PF

3 SWS

4 ECTS

Projektarbeit 1
PF

6 SWS

6 ECTS

Theoretische Elektrotechnik 2
PF

3 SWS

4 ECTS

Theoretische Elektrotechnik 1
PF

3 SWS

4 ECTS

Advanced Robotic Vision
WP

6 SWS

8 ECTS

Angewandte biomechanische Messtechnik
WP

4 SWS

8 ECTS

Architekturen verteilter intelligenter Systeme
WP

3 SWS

4 ECTS

Automotive Systems
WP

3 SWS

4 ECTS

Biomedical Signal Processing
WP

6 SWS

8 ECTS

Computer Vision
WP

3 SWS

8 ECTS

Computer-Netzwerke 1
WP

3 SWS

4 ECTS

Computer-Netzwerke 2
WP

3 SWS

4 ECTS

Cyber Security A
WP

3 SWS

4 ECTS

Cyber Security A
WP

3 SWS

4 ECTS

Cyber Security B
WP

4 SWS

6 ECTS

Cyber Security B
WP

4 SWS

6 ECTS

Data Science und Softwareengineering 1
WP

3 SWS

4 ECTS

Data Science und Softwareengineering 2
WP

3 SWS

4 ECTS