Bachelor Informationstechnik

Fast facts

Department
Informationstechnik
Stand/version
2023
Standard period of study (semester)
6
ECTS
180

Study plan

1. Semester	2. Semester	3. Semester	4. Semester	5. Semester	6. Semester
Grundlagen der Informationstechnik PF 4SWS 5ECTS	Grundlagen der Elektrotechnik PF 4SWS 5ECTS	Grundlagen der Signal- und Systemtheorie PF 4SWS 5ECTS	Automotive Systems Engineering PF 4SWS 5ECTS	Fachpraktikum 2 Informationstechnik PF 5SWS 5ECTS	Bachelor Arbeit und Abschluss-Kolloquium PF 0SWS 15ECTS
Informatik 1 PF 4SWS 5ECTS	Informatik 2 PF 4SWS 5ECTS	Informatik 3 PF 4SWS 5ECTS	Autonome Systeme PF 4SWS 5ECTS	Projektorientiertes Arbeiten 1 PF 4SWS 4ECTS	Projektorientiertes Arbeiten 2 PF 0SWS 15ECTS
Mathematik 1 PF 4SWS 5ECTS	Kommunikationstechnik PF 4SWS 5ECTS	Kommunikationsnetze und IT-Sicherheit PF 4SWS 5ECTS	Connected Car und V2X PF 4SWS 5ECTS	Seminar Informationstechnik PF 4SWS 5ECTS
Mikroprozessortechnik PF 4SWS 5ECTS	Mathematik 2 PF 4SWS 5ECTS	Messtechnik und Fehlerrechnung PF 4SWS 5ECTS	Fachpraktikum 1 Informationstechnik PF 5SWS 5ECTS	Web Protokolle und Services PF 4SWS 10ECTS
Physik 1 PF 4SWS 5ECTS	Physik 2 PF 4SWS 5ECTS	Mobile Robotik PF 4SWS 5ECTS	Informatik 4 PF 4SWS 5ECTS	Compulsory elective modules (14)
Praxisnahe Grundlagen 1 PF 5SWS 5ECTS	Praxisnahe Grundlagen 2 PF 5SWS 5ECTS	Modellbildung & Simulation für die Digitalen Technologien PF 4SWS 5ECTS	Schlüsselqualifikationen PF 4SWS 4ECTS
		Modellbildung & Simulation für die Informationstechnik (IM, RO) PF 4SWS 5ECTS	Sensorik und Simulation PF 4SWS 5ECTS
		Praxisnahe Grundlagen 3 PF 5SWS 5ECTS	Signalverarbeitung & Regelungstechnik PF 4SWS 5ECTS
		Robotik PF 4SWS 5ECTS	Softwaretechnik PF 4SWS 5ECTS
		Smart Mobility PF 4SWS 5ECTS	Compulsory elective modules (45)
		Übertragungstechnik PF 4SWS 5ECTS

Compulsory elective modules 1. Semester

Compulsory elective modules 2. Semester

Compulsory elective modules 3. Semester

Compulsory elective modules 4. Semester

Systembiologie 2: Systemtheorie

WP
2SWS
3ECTS

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren

WP
2SWS
3ECTS

Angewandte Biosignalverarbeitung - Schlagdetektion

WP
2SWS
3ECTS

Ausgewählte Kapitel der Digitalen Technologien 1

WP
2SWS
3ECTS

Ausgewählte Kapitel der Digitalen Technologien 2

WP
2SWS
6ECTS

Ausgewählte Softwaresysteme - Programmierung IV

WP
2SWS
3ECTS

Bildgebende Verfahren der Medizintechnik 1

WP
2SWS
3ECTS

Bildgebende Verfahren der Medizintechnik 2

WP
2SWS
3ECTS

Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme

WP
2SWS
6ECTS

Einführung in Maschinelles Lernen und Künstliche Intelligenz

WP
2SWS
3ECTS

Einführung in die Radartechnik

WP
2SWS
3ECTS

Einführung in die mobile Robotik

WP
2SWS
3ECTS

Embedded Systems Hardware Design and Rapid Prototyping

WP
2SWS
3ECTS

Grundlagen der Mensch-Computer-Interaktion

WP
2SWS
3ECTS

Medizinische Signalverarbeitung

WP
2SWS
3ECTS

Neuronale Netze und Deep Learning

WP
2SWS
3ECTS

Regulatorische Grundlagen für Medizinprodukte - Teil I

WP
2SWS
3ECTS

Regulatorische Grundlagen für Medizinprodukte - Teil II

WP
2SWS
3ECTS

Softwareentwicklung robotischer Systeme mit ROS

WP
2SWS
3ECTS

Systembiologie 1: biologische Netzwerke

WP
2SWS
3ECTS

Compulsory elective modules 5. Semester

Ausgewählte Managementaufgaben in der Netzwirtschaft

WP
3SWS
3ECTS

Automatisierung ereignisdiskreter Systeme

WP
3SWS
3ECTS

Grundlagen der Finite Elemente Methode

WP
3SWS
3ECTS

Modellbasierte Methoden der Fehlerdiagnose

WP
3SWS
3ECTS

Special electrical machines and drives

WP
3SWS
3ECTS

Compulsory elective modules 6. Semester

Module overview

1. Semester of study

Grundlagen der Informationstechnik
PF

4 SWS

5 ECTS

Number
10020
Duration (semester)
1

Informatik 1
PF

4 SWS

5 ECTS

Number
10160
Duration (semester)
1

Mathematik 1
PF

4 SWS

5 ECTS

Number
10010
Duration (semester)
1

Mikroprozessortechnik
PF

4 SWS

5 ECTS

Number
10040
Duration (semester)
1

Physik 1
PF

4 SWS

5 ECTS

Number
10103
Duration (semester)
1

Praxisnahe Grundlagen 1
PF

5 SWS

5 ECTS

Number
10050
Duration (semester)
1

2. Semester of study

Grundlagen der Elektrotechnik
PF

4 SWS

5 ECTS

Number
10090
Duration (semester)
1

Informatik 2
PF

4 SWS

5 ECTS

Number
10161
Duration (semester)
1

Kommunikationstechnik
PF

4 SWS

5 ECTS

Number
10081
Duration (semester)
1

Mathematik 2
PF

4 SWS

5 ECTS

Number
10060
Duration (semester)
1

Physik 2
PF

4 SWS

5 ECTS

Number
10104
Duration (semester)
1

Praxisnahe Grundlagen 2
PF

5 SWS

5 ECTS

Number
10110
Duration (semester)
1

3. Semester of study

Grundlagen der Signal- und Systemtheorie
PF

4 SWS

5 ECTS

Number
10130
Duration (semester)
1

Informatik 3
PF

4 SWS

5 ECTS

Number
10162
Duration (semester)
1

Kommunikationsnetze und IT-Sicherheit
PF

4 SWS

5 ECTS

Number
10151
Duration (semester)
1

Messtechnik und Fehlerrechnung
PF

4 SWS

5 ECTS

Number
10182
Duration (semester)
1

Mobile Robotik
PF

4 SWS

5 ECTS

Number
10323
Duration (semester)
1

Modellbildung & Simulation für die Digitalen Technologien
PF

4 SWS

5 ECTS

Number
10191
Duration (semester)
1

Modellbildung & Simulation für die Informationstechnik (IM, RO)
PF

4 SWS

5 ECTS

Number
10192
Duration (semester)
1

Praxisnahe Grundlagen 3
PF

5 SWS

5 ECTS

Number
10200
Duration (semester)
1

Robotik
PF

4 SWS

5 ECTS

Number
10153
Duration (semester)
1

Smart Mobility
PF

4 SWS

5 ECTS

Number
10152
Duration (semester)
1

Übertragungstechnik
PF

4 SWS

5 ECTS

Number
10181
Duration (semester)
1

4. Semester of study

Automotive Systems Engineering
PF

4 SWS

5 ECTS

Number
10252
Duration (semester)
1

Autonome Systeme
PF

4 SWS

5 ECTS

Number
10241
Duration (semester)
1

Connected Car und V2X
PF

4 SWS

5 ECTS

Number
10242
Duration (semester)
1

Fachpraktikum 1 Informationstechnik
PF

5 SWS

5 ECTS

Number
10281
Duration (semester)
1

Informatik 4
PF

4 SWS

5 ECTS

Number
10163
Duration (semester)
1

Schlüsselqualifikationen
PF

4 SWS

4 ECTS

Number
10270
Duration (semester)
1

Sensorik und Simulation
PF

4 SWS

5 ECTS

Number
10253
Duration (semester)
1

Signalverarbeitung & Regelungstechnik
PF

4 SWS

5 ECTS

Number
10220
Duration (semester)
1

Softwaretechnik
PF

4 SWS

5 ECTS

Number
10251
Duration (semester)
1

Neurophysiologie 1
WP

2 SWS

3 ECTS

Number
10408
Duration (semester)
1

Systembiologie 2: Systemtheorie
WP

2 SWS

3 ECTS

Number
10427
Duration (semester)
1

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren
WP

2 SWS

3 ECTS

Number
10416
Duration (semester)
1

Angewandte Biosignalverarbeitung - Schlagdetektion
WP

2 SWS

3 ECTS

Number
10404
Duration (semester)
1

Ausgewählte Kapitel der Digitalen Technologien 1
WP

2 SWS

3 ECTS

Number
10418
Duration (semester)
1

Ausgewählte Kapitel der Digitalen Technologien 2
WP

2 SWS

6 ECTS

Number
10419
Duration (semester)
1

Ausgewählte Softwaresysteme - Programmierung IV
WP

2 SWS

3 ECTS

Number
10402
Duration (semester)
1

Automotive Systems
WP

2 SWS

5 ECTS

Number
10434
Duration (semester)
1

Bewegungsanalyse
WP

2 SWS

3 ECTS

Number
10432
Duration (semester)
1

Bildgebende Verfahren der Medizintechnik 1
WP

2 SWS

3 ECTS

Number
10405
Duration (semester)
1

Bildgebende Verfahren der Medizintechnik 2
WP

2 SWS

3 ECTS

Number
10415
Duration (semester)
1

Cyber Security 1
WP

2 SWS

3 ECTS

Number
10423
Duration (semester)
1

Cyber Security 2
WP

2 SWS

3 ECTS

Number
10430
Duration (semester)
1

DSVM
WP

2 SWS

3 ECTS

Number
10413
Duration (semester)
1

DT Ergänzung
WP

2 SWS

3 ECTS

Number
10401
Duration (semester)
1

Digitale Signalverarbeitung 2
WP

2 SWS

3 ECTS

Number
10414
Duration (semester)
1

Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme
WP

2 SWS

6 ECTS

Number
10420
Duration (semester)
1

Digitalfilter
WP

2 SWS

3 ECTS

Number
10436
Duration (semester)
1

EM Design
WP

2 SWS

3 ECTS

Number
10428
Duration (semester)
1

Einführung in Maschinelles Lernen und Künstliche Intelligenz
WP

2 SWS

3 ECTS

Number
10407
Duration (semester)
1

Einführung in die Radartechnik
WP

2 SWS

3 ECTS

Number
10445
Language(s)
de
Duration (semester)
1

Learning outcomes/competences

Test

Einführung in die Robotik
WP

4 SWS

3 ECTS

Number
10431
Duration (semester)
1

Einführung in die mobile Robotik
WP

2 SWS

3 ECTS

Number
10425
Duration (semester)
1

Embedded Systems Hardware Design and Rapid Prototyping
WP

2 SWS

3 ECTS

Number
10421
Duration (semester)
1

Extended Reality
WP

2 SWS

3 ECTS

Number
10429
Duration (semester)
1

Extended Reality 2
WP

4 SWS

6 ECTS

Number
10433
Duration (semester)
1

Grundlagen der Mensch-Computer-Interaktion
WP

2 SWS

3 ECTS

Number
10424
Duration (semester)
1

IoT-Netze und Protokolle
WP

2 SWS

3 ECTS

Number
10440
Duration (semester)
1

IoT-Protokolle
WP

2 SWS

3 ECTS

Number
10435
Duration (semester)
1

Mathematik Ergänzungen 1
WP

2 SWS

3 ECTS

Number
10406
Duration (semester)
1

Mathematik Ergänzungen 2
WP

2 SWS

3 ECTS

Number
10412
Duration (semester)
1

Medizinische Signalverarbeitung
WP

2 SWS

3 ECTS

Number
10403
Duration (semester)
1

Neuronale Netze und Deep Learning
WP

2 SWS

3 ECTS

Number
10417
Duration (semester)
1

Neurophysiologie 2
WP

2 SWS

3 ECTS

Number
10409
Duration (semester)
1

RMS
WP

2 SWS

3 ECTS

Number
10500
Duration (semester)
1

RMS
WP

2 SWS

3 ECTS

Number
10501
Duration (semester)
1

Regulatorische Grundlagen für Medizinprodukte - Teil I
WP

2 SWS

3 ECTS

Number
10437
Duration (semester)
1

Regulatorische Grundlagen für Medizinprodukte - Teil II
WP

2 SWS

3 ECTS

Number
10438
Duration (semester)
1

Robotik
WP

2 SWS

3 ECTS

Number
10410
Duration (semester)
1

Robotik 1
WP

2 SWS

3 ECTS

Number
10442
Duration (semester)
1

Robotik 2
WP

2 SWS

3 ECTS

Number
10443
Duration (semester)
1

Sensorik
WP

2 SWS

3 ECTS

Number
10411
Duration (semester)
1

Smart Mobility
WP

2 SWS

3 ECTS

Number
10439
Duration (semester)
1

Softwareentwicklung robotischer Systeme mit ROS
WP

2 SWS

3 ECTS

Number
10444
Duration (semester)
1

Systembiologie 1: biologische Netzwerke
WP

2 SWS

3 ECTS

Number
10426
Duration (semester)
1

5. Semester of study

Fachpraktikum 2 Informationstechnik
PF

5 SWS

5 ECTS

Number
10350
Duration (semester)
1

Projektorientiertes Arbeiten 1
PF

4 SWS

4 ECTS

Number
10340
Duration (semester)
1

Seminar Informationstechnik
PF

4 SWS

5 ECTS

Number
10300
Duration (semester)
1

Web Protokolle und Services
PF

4 SWS

10 ECTS

Number
10321
Duration (semester)
1

Ausgewählte Managementaufgaben in der Netzwirtschaft
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students are familiar with the main features and functions of German concession law, they can describe the concession competition and the tendering phases and classify the
requirements from the evaluation of the networks.

Calculation of grid usage
Concessions and concession procedures (expression of interest, publication of relevant grid data, concepts for grid takeover)
Purchase price determination methods (relevant network data, determination of current asset value, determination of capitalized earnings value, asset groups)
Current legal situation

Teaching methods

Lecture and exercise

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Oral examination

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Meier, J. 2014. Bewertung von Energieverteilnetzen im Falle eines Konzessionsübergangs. Springer Gabler
Spremann, K. 2002. Finanzanalyse und Unter- nehmensbewertung. Oldenburg
Deutscher Städte- und Gemeindebund (DStGB). 2017. Auslaufende Konzessionsverträge.
Illing. B. 2015. Der Einfluss von Netznutzungsentgelten auf die Last im Verteilernetz. Ilmenauer Beiträge zur elektrischen Energiesystem-, Geräte und Anlagentechnik (IBEGA). Band 13.

Automatisierung ereignisdiskreter Systeme
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students have knowledge of modeling approaches for discrete-event systems, e.g. finite automata and Petri nets, and can use them to model, analyze and diagnose simple technical discrete-event systems.

Description of discrete-event systems
   - Automata
   - Petri nets
Behavior of discrete-event systems
   - Behavior of automata
   - Behavior of Petri nets
Control design of discrete-event systems

Teaching methods

Seminar-based course. Selected practical examples are discussed in groups, modeled and simulated using computers.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Control engineering, PLC technology

Forms of examination

Written exam with coursework during the semester

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Jan Lunze: Automatisierungstechnik, De Gruyter, 2016

Datenanalyse mit Python
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students know basic methods of data analysis and are also able to apply these themselves using Python
. apply them. They are able to familiarize themselves with the use of further numerical methods and Python libraries
familiarization.

Basic concepts of data processing and analysis with Python
- Importing data sets in various formats
- Visualization of two- and three-dimensional data sets
- Numerical and statistical processing of data
- Image manipulation and analysis
- Fitting and optimization methods
The methods presented include general approaches from data processing and visualization and
optimization. The focus of the course is on the practical application of the methods using generic and subject-specific examples
The subject-specific application examples used come from the field of environmental technology and the energy market and are continuously adapted.

Teaching methods

Lectures, exercises with independent solving of practical tasks, independent development of teaching material

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Mathematics 1 and Mathematics 2, basics of programming

Forms of examination

will be announced at the beginning of the semester

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Skript zur Vorlesung

Elektronische Steuergeräte
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students know the structure and function of electronic control units against the background of control and regulation tasks in an overall mechatronic system. They understand the basic principles of model-based development and model-based testing, which they can classify in the context of the development of electronic control units. They are able to use the software tools MATLAB, Simulink and Simscape (MathWorks) to model and simulate software algorithms and electronic components and systems of control units. They are familiar with the difference between mathematical and component-based modeling. As an essential application example, they can also describe the functionality and control of a DC motor and can model and simulate it together with the associated control electronics using the above-mentioned tools and analyze the resulting simulation results.

The lecture provides an introduction to the technology and functionality of electronic control units using practical examples, particularly from the automotive industry. The electronic control unit consisting of hardware and software (HW/ SW) is considered as part of an overall mechatronic system:
- Control unit HW: printed circuit board and electronic components (electronics)
- Control unit SW: Control and regulation technology algorithms (computer science)
- Sensors and actuators, e.g. electromechanical components (mechanics)

Using practical examples from the field of control and regulation of DC motors, the focus is on the development of electronics and, in particular, software algorithms for control units. Model-based methods for development and testing with the professional software tools MATLAB, Simulink and Simscape (MathWorks) are used. A practical introduction to these software tools will be given:
- Possibilities for modeling and simulating dynamic systems
- Examples: RC element, RL element, DC motor (mode of operation and control)

There is also a practical introduction to model-based software development for embedded systems:
- Options for modeling and simulating software algorithms
- Options for generating code for microcontroller development boards
- Practical examples for the control and regulation of DC motors

Teaching methods

In the lecture, the contents are presented and discussed in a fundamental way. The connections developed are then deepened in the exercises using the software tools MATLAB, Simulink and Simscape (MathWorks), among others, on the basis of practical examples.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Reif, K.: Bosch Autoelektrik und Autoelektronik, Vieweg +Teubner, 2011
Angermann, A.; Beuschel, M.; Rau, M.; Wohlfarth, U.: MATLAB – Simulink – Stateflow, De Gruyter, 2021
Pietruszka, W. D.; Glöckler, M.: MATLAB und Simulink in der Ingenieurpraxis, Springer, 2021
Schäuffele, J.; Zurawka, T.: Automotive Software Engineering, Springer, 2016
Abel, D.; Bollig, A.: Rapid Control Prototyping, Springer, 2006
Online-Dokumentationen und Tool-Hilfen zu diversen Software-Tools der Firma MathWorks (z. B. MATLAB, Simulink, Simscape)

Embedded Systems
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

In this module, students learn to deepen their knowledge in the field of embedded systems. In addition to hardware knowledge of process units such as field programmable gate arrays, microcontrollers or systems-on-chip, students learn how to use the associated development environments by means of project work and practical exercises under technical and methodical guidance. Students gain an in-depth insight into the latest design methods for hardware and software design and a holistic overview of the realization of embedded systems. The project work is based on practical tasks from the field of robotics, for example. You will learn how different digital and analog peripheral components (e.g. time-of-flight sensors, global positioning systems, interactive measuring units) work and how they are used in practice. They also learn how to connect peripheral components to process units using various digital interfaces such as serial-peripheral interfaces, inter-integrated circuits or universal asynchronous receiver-transmitter interfaces. The project work also encourages students' creativity, independent problem-solving skills and personal development.

- Fundamentals of embedded systems and cyber-physical systems
- Architecture of practice-relevant process units (e.g. systems-on-chip, field-programmable gate arrays)
- Digital/analog assemblies of sensors and actuators (e.g. time-of-flight, global positioning system)
- Bus systems/interfaces and their application for linking digital assemblies
- Basic knowledge of hardware software code design
- Design and programming of sensor and actuator systems to solve a technical problem

Teaching methods

In the lectures, technical content is presented, which is consolidated in exercises by solving problems. In the practical course, the implementation of the methods is practiced on the basis of small technical problems and with the help of industrial tools.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Microcontroller technology, basics of programming

Forms of examination

Presentation or oral examination

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Zynq Book
Lee, Seshia: "Embedded Systems - A Cyber-Physical Systems Approach", MIT Press, 2017
Marwedel: "Eingebettete Systeme - Grundlagen eingebetteter Systeme in Cyber-Physikalischen Systemen", Springer, 2021

Gebäudesimulation
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

- Knowledge of the basic concepts and classifications of simulations
- Knowledge of the procedure for simulation studies
- Overview of the different types of simulation methods and their differentiation
- Evaluate the applicability of simulation methods for the respective task

The lecture Building Simulation introduces the methods of simulation technology. The thematic focus is on the investigation of energy-related issues in buildings. Particular emphasis is placed on the structured approach to simulation tasks. Based on a classification of simulation types, the procedure for selecting and creating suitable simulation models, carrying out simulations and evaluating the results are discussed. Different types of simulation methods are presented. These cover in particular the area of computer-aided tools. Insights are given into the mathematical modeling of the simulation tools. However, neither the lecture nor the exercise will deal with the programming implementation of the models (programming knowledge is therefore not necessary). The aim is rather to learn a structured approach to simulation and, knowing the strengths and weaknesses of the various tools, to select the most suitable one for the specific task and to be able to interpret its results correctly. Using the example of the heat balance of buildings, the procedure as well as the evaluation and interpretation of the results are deepened in the context of lectures and accompanying exercises on the computer.

Teaching methods

The lecture provides an overview of terms, fundamentals and various methods of building simulation. In the exercises, these basic concepts are first deepened. Subsequently, based on an example building, calculations of the energy demand are carried out and compared using various methods (analytical calculation, static simulation, dynamic simulation).

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

- Sauerbier, Thomas : Theorie und Praxis von Simulationssystemen, Vieweg Studium Technik, Braunschweig (1999)
- Gieseler, U.D.J., Bier, W., Heidt, F.D.: Combined thermal measurement and simulation for the detailed analysis of four occupied low-energy buildings. Proceedings of the 8th Intern. IBPSA Conf., Building Simulation, Eindhoven (2003) vol. 1, pp. 391-398
- Gieseler, U.D.J; Heidt, F.D.: Bewertung der Energieeffizienz verschiedener Maßnahmen für Gebäude mit sehr geringem Energiebedarf, Forschungsbericht, Fachgebiet Bauphysik und Solarenergie, Universität Siegen, Fraunhofer IRB-Verlag, Stuttgart (2005)
- Deutsches Institut für Normung (DIN): DIN V 18599: Energetische Bewertung von Gebäuden, Beuth Verlag, Berlin (2018)
- Baehr, H.D., Stephan, K.: Wärme- und Stoffübertragung, Springer Verlag, Berlin (2006)
- Klein, S.A., Duffie, J.A. and Beckman, W.A.: TRNSYS - A Transient Simulation Program, ASHRAE Trans. 82 (1976) pp. 623 ff

Grundlagen der Finite Elemente Methode
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1

Light Technology
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
en
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

- Knowledge of the basic radiometric and photometric quantities.
- Knowledge of the measurement methods of the basic quantities.
- Understanding of how different light sources work.
- Knowledge of the requirements for interior lighting.
- Understanding the relationship between light generation and energy consumption.
- Application of radio and photometric quantities to evaluate light sources
with regard to their use inside and outside buildings.
- Foreign language skills (English)

The lecture light technology introduces the technologies of light production and efficient illumination. First, the underlying fundamentals and relevant physical measures for light are introduced. This is followed by methods for light measurement and detection, including the human eye. The main part of the lecture covers the different mechanisms and technologies of light production. Corresponding sources include: Sun and Daylight, thermal radiators, electric discharge lamps, electroluminescent sources and light emitting diodes (LED). Applications presented are mainly in the area of light sources used in buildings and illumination techniques. Special consideration is given to energy efficient lighting in buildings.

Teaching methods

The lecture teaches the basic parameters of lighting technology and their measurement methods, the fundamentals of light generation and applications in lighting technology. As part of the exercises, students should solve tasks on the application of the basic variables of lighting technology from the fields of measurement technology, light generation and lighting technology as independently as possible and present these in a joint discussion.
Lectures and exercises are held in English.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Mathematics (especially differential and integral calculus)

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Wyszecki, G.; Stiles, W.S.: Color Science. John Wiley & Sons, New York (2000)
Lighting Press International (LPI), PPVMEDIEN, periodical (English/German)
Hentschel, H.-J.: Licht und Beleuchtung, Hüthing Verlag, Heidelberg (2002)
Gall, D.: Grundlagen der Lichttechnik, Pflaum Verlag München (2007)
Schubert, E.F.: Light Emitting Diodes, E-Book, Cambridge University Press (2006)
Jacobs, A.: SynthLight Handbook, Low Energy Architecture Research Unit, LEARN,
London Metropolitan University (2004),
https://www.new-learn.info/packages/synthlight/handbook/index.html

Modellbasierte Methoden der Fehlerdiagnose
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students understand the basic concepts of model-based fault diagnosis and have knowledge of the definition and classification of fault diagnosis, selected model-based methods of fault diagnosis and their application conditions and limitations. They can select a suitable model-based method for fault diagnosis for simple technical systems and design a fault diagnosis system accordingly. They are proficient in technical terms relating to fault diagnosis in English.

Basic concepts
   - Definition and classification of fault diagnosis techniques
   - Model-based fault detection and diagnosis
Description and analysis of technical systems
   - Modeling
   - Fault detectability, isolability and identifiability
Parity equation and parity space approach                                                                                                                                                                                                                                                                                                                                                                                      Observer-based fault diagnosis
   - Observer design
   - Observer bank
Fault diagnosis methods considering unknown inputs

Teaching methods

Seminar-based course in English. Selected practical examples are discussed in groups, modeled and simulated with computer support.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply
Content: Control engineering

Forms of examination

Written exam with coursework during the semester

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

S.X. Ding: Model-based Fault Diagnosis Techniques, Springer, 2013
J. Chen, R.J. Patton: Robust Model-Based Fault Diagnosis for Dynamic Systems, Springer, 1999

Nachhaltigkeit
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45 h
Self-study
45 h

Learning outcomes/competences

Students should expand their knowledge of the various areas of sustainability, ecology, economy and social issues. They should discuss the necessity and consequences of sustainable developments together with students from other faculties.

As part of the seminar-based course, students strengthen key skills such as structured documentation & presentation of work results, as well as their discussion in the group.

- Social responsibility and sustainability
- Ecological sustainability, energy management, environmental management, sustainable mobility
- Economic sustainability: sustainability in business management
- Social sustainability and ethics of sustainability
- Supplements for the preparation of essays (reports and presentations)

Teaching methods

seminar lecture

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Presentation (possibly on the basis of a written elaboration)

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Numerische Mathematik
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

After successfully completing the module, students will be able to
- design programs for the numerical solution of classical mathematical problems (solving equations,
differential and integral calculus, differential equations)
to design - apply numerical interpolation methods
- assess the performance of a numerical algorithm in terms of its runtime
- analyze the convergence of a numerical algorithm
- present the advantages and disadvantages of machine learning methods
- recognize areas of application of Monte Carlo methods.

- Fundamentals of computers, algorithms & discretization
- Numerical solution of equations with one variable
- Interpolation
- Numerical differential & integral calculus
- Numerical solution of differential equations
- Numerical solution of systems of equations
- Approximation theory
- Random numbers & Monte Carlo simulations
- Artificial intelligence & machine learning
All topics are placed in the context of electrical engineering wherever possible.

Teaching methods

The course is designed as seminar-style teaching, but also has lecture and
exercise components. The technical concepts and content are taught in the lecture
The numerical methods are applied in practice in calculation and programming tasks and the
students to independently design numerical solutions for practical applications. design.
In self-study, tasks are worked on and the material internalized.
The solutions are presented and discussed in the joint practice sessions.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

-Faires, Burden: Numerische Methoden, Spektrum Lehrbuch
-Zurmühl: Praktische Mathematik, Springer
-Huckle, Schneider: Numerische Methoden, Springer
-Gerlach: Computerphysik, Springer (Einführungskapitel)

Schaltnetzteile
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students learn about the components of a typical switching transformer and understand how they interact. They are able to design the individual components according to specification and can understand the derivation of the formula used for this. Students will be able to ensure the stability of the controller by selecting the appropriate controller parameters and evaluate them by simulation. They know typical converter architectures and modulation and control types and what the advantages and disadvantages of the individual approaches are. They know which properties of a switching controller are relevant for the application and can make design decisions in the development process to achieve the required properties.

-Components and function of a voltage-controlled buck converter
-Design rules of the LC filter
-Dimensioning of the switching stage
-Controller design and stabilization
-Extraction of the controller properties through simulation
-Gap and non-gap operation
-Current control
-Hysteresis control
-Multiphase and multilevel converters
-Zero current and zero voltage switching
-Resonant operation

Teaching methods

Lecture, exercise, seminar

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Basso, Switch-Mode Power Supplies, Second Edition: SPICE Simulations and Practical Designs, 2014
Choi, Pulsewidth Modulated DC-to-DC Power Conversion: Circuits, Dynamics, and Control Designs, Wiley IEEE-Press, 2013

Special electrical machines and drives
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
de
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

In the course "Special electrical machines", students are enabled to apply the knowledge they have acquired in the fundamentals of electrical machines to a wide range of special machines.

Students learn about various requirements for which standard machines can no longer be used. On the one hand, they can explain why special machines are required and, on the other, why the special machines used meet the exact requirements. For each machine, its design, areas of application and operating behavior are explained and evaluated.

Synchronous reluctance motor, Linear motor, Hermetic pumps (canned motor, magnetic coupling), Submersible motor, High-speed motor, Stepper motor, High-torque motor, Explosion-proof motor, Axial flux motor, High-efficiency motor

Teaching methods

Seminar course, presentations

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam or presentation

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Fachartikel, Herstellerinformationen

Technisches Englisch
WP

3 SWS

3 ECTS

Number
84RMS
Language(s)
en
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Establishment of communication skills in the technical English language.
Ability to read, understand and communicate operating and programming instructions, technical data sheets, data sheets.
Students can create and give a presentation in English on technical topics

Technical vocabulary of the ET / Technical vocabulary of the ET
Specific features of technical literature (technical periodicals, technical sheets) / Specific features of technical literature (technical periodicals, technical sheets)
Technical translations German / English and English / German / Technical translations German / English and English / German
Preparation of a presentation in English / Working out an English presentation

Teaching methods

Seminar course, presentations

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written or oral exam

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

BA Electrical Engineering, BA Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

Technische Datenblätter, Fachartikel (z. B. IEEE), diverse Lehrbücher "Technical English" / "English for Engineers"

Study plan

Grundlagen der Informationstechnik

Grundlagen der Elektrotechnik

Grundlagen der Signal- und Systemtheorie

Automotive Systems Engineering

Fachpraktikum 2 Informationstechnik

Bachelor Arbeit und Abschluss-Kolloquium

Informatik 1

Informatik 2

Informatik 3

Autonome Systeme

Projektorientiertes Arbeiten 1

Projektorientiertes Arbeiten 2

Mathematik 1

Kommunikationstechnik

Kommunikationsnetze und IT-Sicherheit

Connected Car und V2X

Seminar Informationstechnik

Mikroprozessortechnik

Mathematik 2

Messtechnik und Fehlerrechnung

Fachpraktikum 1 Informationstechnik

Web Protokolle und Services

Physik 1

Physik 2

Mobile Robotik

Informatik 4

Compulsory elective modules (14)

Praxisnahe Grundlagen 1

Praxisnahe Grundlagen 2

Modellbildung & Simulation für die Digitalen Technologien

Schlüsselqualifikationen

Modellbildung & Simulation für die Informationstechnik (IM, RO)

Sensorik und Simulation

Praxisnahe Grundlagen 3

Signalverarbeitung & Regelungstechnik

Robotik

Softwaretechnik

Smart Mobility

Compulsory elective modules (45)

Übertragungstechnik

Compulsory elective modules 1. Semester

Compulsory elective modules 2. Semester

Compulsory elective modules 3. Semester

Compulsory elective modules 4. Semester

Neurophysiologie 1

Systembiologie 2: Systemtheorie

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren

Angewandte Biosignalverarbeitung - Schlagdetektion

Ausgewählte Kapitel der Digitalen Technologien 1

Ausgewählte Kapitel der Digitalen Technologien 2

Ausgewählte Softwaresysteme - Programmierung IV

Automotive Systems

Bewegungsanalyse

Bildgebende Verfahren der Medizintechnik 1

Bildgebende Verfahren der Medizintechnik 2

Cyber Security 1

Cyber Security 2

DSVM

DT Ergänzung

Digitale Signalverarbeitung 2

Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme

Digitalfilter

EM Design

Einführung in Maschinelles Lernen und Künstliche Intelligenz

Einführung in die Radartechnik

Einführung in die Robotik

Einführung in die mobile Robotik

Embedded Systems Hardware Design and Rapid Prototyping

Extended Reality

Extended Reality 2

Grundlagen der Mensch-Computer-Interaktion

IoT-Netze und Protokolle

IoT-Protokolle

Mathematik Ergänzungen 1

Mathematik Ergänzungen 2

Medizinische Signalverarbeitung

Neuronale Netze und Deep Learning

Neurophysiologie 2

RMS

Grundlagen der Informationstechnik
PF

4 SWS

5 ECTS

Informatik 1
PF

4 SWS

5 ECTS

Mathematik 1
PF

4 SWS

5 ECTS

Mikroprozessortechnik
PF

4 SWS

5 ECTS

Physik 1
PF

4 SWS

5 ECTS

Praxisnahe Grundlagen 1
PF

5 SWS

5 ECTS

Grundlagen der Elektrotechnik
PF

4 SWS

5 ECTS

Informatik 2
PF

4 SWS

5 ECTS

Kommunikationstechnik
PF

4 SWS

5 ECTS

Mathematik 2
PF

4 SWS

5 ECTS

Physik 2
PF

4 SWS

5 ECTS

Praxisnahe Grundlagen 2
PF

5 SWS

5 ECTS

Grundlagen der Signal- und Systemtheorie
PF

4 SWS

5 ECTS

Informatik 3
PF

4 SWS

5 ECTS

Kommunikationsnetze und IT-Sicherheit
PF

4 SWS

5 ECTS

Messtechnik und Fehlerrechnung
PF

4 SWS

5 ECTS

Mobile Robotik
PF

4 SWS

5 ECTS

Modellbildung & Simulation für die Digitalen Technologien
PF

4 SWS

5 ECTS

Modellbildung & Simulation für die Informationstechnik (IM, RO)
PF

4 SWS

5 ECTS

Praxisnahe Grundlagen 3
PF

5 SWS

5 ECTS

Robotik
PF

4 SWS

5 ECTS

Smart Mobility
PF

4 SWS

5 ECTS

Übertragungstechnik
PF

4 SWS

5 ECTS

Automotive Systems Engineering
PF

4 SWS

5 ECTS

Autonome Systeme
PF

4 SWS

5 ECTS

Connected Car und V2X
PF

4 SWS

5 ECTS

Fachpraktikum 1 Informationstechnik
PF

5 SWS

5 ECTS

Informatik 4
PF

4 SWS

5 ECTS

Schlüsselqualifikationen
PF

4 SWS

4 ECTS

Sensorik und Simulation
PF

4 SWS

5 ECTS

Signalverarbeitung & Regelungstechnik
PF

4 SWS

5 ECTS

Softwaretechnik
PF

4 SWS

5 ECTS

Neurophysiologie 1
WP

2 SWS

3 ECTS