Bachelor Biomedizintechnik

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
Informatik 1 PF 4SWS 5ECTS	BioChemie PF 4SWS 5ECTS	Grundlagen der Signal- und Systemtheorie PF 4SWS 5ECTS	Fachpraktikum 1 Biomedizintechnik PF 5SWS 5ECTS	Fachpraktikum 2 Biomedizintechnik PF 5SWS 5ECTS	Bachelor Arbeit und Abschluss-Kolloquium PF 4SWS 15ECTS
Mathematik 1 PF 4SWS 5ECTS	Grundlagen der Elektrotechnik PF 4SWS 5ECTS	Informatik 3 PF 4SWS 5ECTS	Medizinische Systeme PF 4SWS 5ECTS	Diagnose & Therapie PF 4SWS 5ECTS	Projektorientiertes Arbeiten 1 PF 4SWS 4ECTS
Mikroprozessortechnik PF 4SWS 5ECTS	Informatik 2 PF 4SWS 5ECTS	Kardiovaskuläres System PF 4SWS 5ECTS	Neurophysiologie PF 4SWS 5ECTS	Normen, HW/SW-Sicherheit, Daten, EMV PF 4SWS 5ECTS	Projektorientiertes Arbeiten 2 PF 2SWS 15ECTS
Physik 1 PF 4SWS 5ECTS	Mathematik 2 PF 4SWS 5ECTS	Modellbildung & Simulation für die Biomedizintechnik PF 4SWS 5ECTS	Schlüsselqualifikationen PF 4SWS 4ECTS	Seminar Biomedizintechnik PF 4SWS 5ECTS
Physiologie & Anatomie PF 4SWS 5ECTS	Physik 2 PF 4SWS 5ECTS	Praxisnahe Grundlagen 3 PF 5SWS 5ECTS	Signalverarbeitung & Regelungstechnik PF 4SWS 5ECTS
Praxisnahe Grundlagen 1 PF 5SWS 5ECTS	Praxisnahe Grundlagen 2 PF 5SWS 5ECTS	Sensorik & Messtechnik PF 4SWS 5ECTS	Compulsory elective modules (32)

Compulsory elective modules 1. Semester

Compulsory elective modules 2. Semester

Compulsory elective modules 3. Semester

Compulsory elective modules 4. Semester

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren

WP
2SWS
3ECTS

Applied biosignal processing - beat detection

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

Embedded Systems Hardware Design and Rapid Prototyping

WP
2SWS
3ECTS

Grundlagen der Mensch-Computer-Interaktion

WP
2SWS
3ECTS

Medizinische Signalverarbeitung

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

Compulsory elective modules 5. Semester

Compulsory elective modules 6. Semester

Module overview

1. Semester of study

Informatik 1
PF

4 SWS

5 ECTS

Number
10160
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

Teaching methods

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written 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

Felderhoff, Rainer; Busch, Udo: Leistungselektronik
Michel, Manfred: Leistungselektronik
Specovius, Joachim: Grundkurs Leistungselektronik
Schröder, D. Elektrische Antriebe – Band 4: Leistungselektronische Schaltungen, Felderhoff, R. Leistungselektronik
Probst, Uwe: Leistungselektronik für Bachelors
Brosch, P. F. Moderne Stromrichterantriebe
Versuchsanleitungen Fachpraktikum Leistungselektronik
Vorlesungsskript Leistungselektronik

Mathematik 1
PF

4 SWS

5 ECTS

Number
10010
Duration (semester)
1
Contact time
45h
Self-study
105h

Learning outcomes/competences

Mastering the subject of oscillations, waves and optics means understanding the nature of electromagnetic waves and being able to calculate simple optical and analytical applications.
On completion of the module, students will be able to apply basic knowledge relevant to electrical engineers in the field of oscillations, waves and optics and the underlying physical principles to problems.
The ability to abstract, problem-solve and criticize is trained. They have the ability to formalize verbally formulated problems and to recognize and justify the relevant scientific and physical background. They are able to independently develop new content on the basis of known material.

'Vibrations and waves:
- Free harmonic oscillations
- Damped vibrations
- Forced vibrations
- Pendulum motions
- Superposition and coupling of oscillations
- Harmonic waves, their propagation, superposition
- Interference and diffraction
- Limits of the wave model
- Photoelectric effect and spectra

Optics:
- Light propagation
- Geometrical optics
- Optical instruments (telescope, microscope,...)
- Wave optics
- spectral analysis

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: Physics 1, Mathematics 1

Forms of examination

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

2,56%

Literature

Hahn, Physik für Ingenieure, 2. Auflage, De Gruyter Oldenbourg Verlag 2015, ISBN 978-3-11-035056-2
Tipler, Physik, Spektrum Verlag

Mikroprozessortechnik
PF

4 SWS

5 ECTS

Number
10040
Duration (semester)
1
Contact time
60h
Self-study
120h

Learning outcomes/competences

Students receive a practical introduction to the implementation of signal processing circuits. They are familiar with the simulation of digital and analog filters and can interpret the associated frequency characteristics. They will also be able to use resistors, capacitors, inductors and operational amplifiers to create active and passive analog filters. They are able to extract the transmission behavior of systems and describe it mathematically in the form of transfer functions. You are familiar with the structure and function of analog/digital and digital/analog converters. You will be able to select the correct sampling rate and pre-filtering for the application using the Nyquist criterion. You also understand the structure of digital filters and can implement them with FPGAs or signal processors, for example.

Practical course:
In the practical course, students learn how to use industrial design tools to simulate and design digital and analog filters. They are able to determine the appropriate filter characteristics from the requirements of an application.

- Description of component regularities in Laplace space
- Passive high and low pass filters as RLC network
- Transfer functions and frequency response
- Operational amplifiers and their basic circuits
- Analog/digital and digital/analog conversion
- Nyquist criterion for the sampling rate
- Design and implementation of digital filters

Practical course:
Experiments are carried out on the following topics:
- Simulation of filter circuits (e.g. with MATLAB)
- Implementation of analogue filter circuits
- Modeling and implementation of digital filter circuits (e.g. with FPGA)

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

Forms of examination

Written or oral exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

3,08%

Literature

Meyer, M.: Signalverarbeitung, Springer, 2021
Hoffmann, J.; Quint, F.: Signalverarbeitung mit MATLAB und Simulink, Oldenbourg, 2012
Hoffmann, J.; Quint, F.: Signalverarbeitung in Beispielen, Oldenbourg, 2016
Werner, M.: Digitale Signalverarbeitung mit MATLAB, Springer, 2019
Meyer-Baese, U.: Digital Signal Processing with Field Programmable Gate Arrays, Springer, 2007
Kundert, K. S.; Zinke, O.: The Designer’s Guide to Verilog-AMS, Springer, 2004
Lapsley, P.; Bier, J.; Shoham, A.; Lee, E. A.: DSP Processor Fundamentals, Wiley-IEEE Press, 1997

Physik 1
PF

4 SWS

5 ECTS

Number
10103
Duration (semester)
1

Physiologie & Anatomie
PF

4 SWS

5 ECTS

Number
10070
Duration (semester)
1
Contact time
72h
Self-study
138h

Learning outcomes/competences

After completing this module, students will be able to
- apply mathematical techniques
- use the mathematical language of formulas
- name essential properties of real functions and recognize their relevance for the representation of states or processes in nature or in technical systems
- calculate limits of sequences and functions and examine functions for continuity
- apply the techniques of differential calculus for functions of a variable, carry out curve discussions and approximations of functions with Taylor polynomials
- apply the basic arithmetic operations and types of representation of complex numbers to problems in electrical engineering
- apply the basic concepts and methods of linear algebra, in particular methods for solving systems of linear equations.

Symmetry, monotonicity, asymptotes, continuity, sequences, concept of limits, calculation rules
Differential calculus: derivation, derivation of basic mathematical functions, derivation rules, mean value theorem, extreme points, de L'Hospital's rule, curve discussion, Taylor expansion,
Representation of functions by Taylor series, error and approximation calculation for Taylor developments
Complex numbers: Basic arithmetic operations, forms of representation - Cartesian and polar representation, complex roots
Vector calculus: vectors in R^n, basic definitions, calculation rules and operations, scalar product, orthogonality, projection, cross product, spar product
Determinants of second, third and general order, Laplace's development theorem, calculation rules for determinants
Matrices: basic concepts and definitions, arithmetic operations, inverse matrix,
Linear systems of equations: Gaussian algorithm, description by matrices, solving matrix equations
Application examples for matrices and systems of linear equations

Teaching methods

A lecture conveys the basic knowledge of analysis and linear algebra. The teaching of the theoretical foundations is supported by numerous examples and exercises/control questions. In the exercises, students work independently on solving problems and thus deal with the concepts, statements and methods from the lecture.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

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 Management

Importance of the grade for the final grade

is calculated in the course-specific module handbook

Literature

Brauch/Dreyer/Haacke: Mathematik für Ingenieure, Vieweg+Teubner 2006
Fetzer, Fränkel: Mathematik 1 (2008), Mathematik 2 (1999), Springer-Verlag
Knorrenschild, Michael: Mathematik für Ingenieure 1, Hanser-Verlag, 2009
Papula, Lothar: Mathematik für Ingenieure 1 (2009), 2 (2007), 3 (2008), Vieweg+Teubner
Papula, Lothar: Mathematische Formelsammlung(2006), Vieweg+Teubner
Preuß, Wenisch: Mathematik 1-3, Hanser-Verlag, 2003
Stingl, Peter: Mathematik für Fachhochschulen, Carl-Hanser Verlag 2003

Praxisnahe Grundlagen 1
PF

5 SWS

5 ECTS

Number
10050
Duration (semester)
1
Contact time
60h
Self-study
120h

Learning outcomes/competences

Students gain an insight into current methods of integrated circuit design. They are informed about modern CMOS semiconductor processes and existing components. They are proficient in the use of transistor models for manual calculations and simulation. You will understand basic analog circuits and be able to assemble them into more complex functional blocks. You will identify critical operating parameters of the transistors used and their influence on the circuits. You are aware of the differences in the development of analog and digital circuits and can safely go through both design processes.

Practical course:
In the practical course, students learn how to use industrial design tools. They are able to design and simulate circuit diagrams. They can create and verify analog and digital layouts.

- CMOS semiconductor processes and existing components
- Work steps of the analog circuit design
- Transistor models for manual calculation and simulation
- Current mirrors and cascoding
- Operating point setting circuits
- Bandgap voltage reference
- Inverting and differential amplifier
- Compensation of two-stage amplifiers
- Work steps of the digital circuit design
- CMOS logic gate
- CMOS memory elements latch, flip-flops, SRAM

Practical course
- CMOS transistor and circuit simulation
- Parameterized process corner and Monte-Carlo verification
- Creation of layouts
- Testing of process rules (DRC)
- Checking the circuit consistency (LVS)
- Synthesis of models in hardware description languages
- Place route of synthesized netlists
- Creation of clock networks
- Verification of digital circuit implementations

Teaching methods

Technical content is presented in lectures, which is consolidated in exercises by solving problems.

Practical course:
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

Forms of examination

Written or oral exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

3,08%

Literature

Baker, CMOS Circuits Design, Layout and Simulation, IEEE Press
Razavi, Design of Analog CMOS Integrated Circuits; Mc Graw Hill
Sansen, Analog Design Essentials, Springer

2. Semester of study

BioChemie
PF

4 SWS

5 ECTS

Number
10072
Duration (semester)
1

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

Mathematik 2
PF

4 SWS

5 ECTS

Number
10060
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)

Physik 2
PF

4 SWS

5 ECTS

Number
10104
Duration (semester)
1
Contact time
36h
Self-study
54h

Learning outcomes/competences

The field of asset management deals with the topic of asset management, whereby asset management refers to the management of assets in companies. Assets include all (tangible) fixed assets (e.g. machines, industrial plants, infrastructure facilities and buildings) and areas of current assets (e.g. spare parts management). The focus of this lecture is from the perspective of a network operator. Infrastructure (assets) such as transformers, cables and overhead lines are considered.
Listeners should be able to evaluate the fields of activity of asset management, such as the planning and new construction of plants, maintenance, conversion, expansion and modification and the decommissioning of plants from different perspectives. In particular, the aim is to familiarize the listener with this with regard to the evaluation of planning in the technical environment with a view to the whole and in the sense of opportunity and risk-oriented planning.

Introduction to the topic of asset management based on ISO 55000;
Asset management - definition, tasks and objectives, life cycle management, risk management, maintenance management, environment analysis, strategic action decision, action plan / medium-term planning, project preparation, project selection and prioritization, improvement process, asset management yesterday, today and tomorrow, summary /

Teaching methods

The specialist knowledge is presented and deepened in seminar form. The content is conveyed using examples with a strong practical relevance. The methods presented are deepened on the basis of examples. In doing so, the listeners are repeatedly encouraged to holistically record all parameters of the individual focal points based on the consideration of systems and products - with regard to economic, technical, safety-relevant and legal risks - and to evaluate them from different perspectives over their entire service life.
The lecture notes will be made available for download online.

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 Management

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

ISO 55000
Beiträge zu den Schwerpunkten in Form von Artikeln und Präsentationen und Veröffentlichungen aus der üblichen Literatur der Energiewirtschaft (z.B. EW, ETG)

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

Kardiovaskuläres System
PF

4 SWS

5 ECTS

Number
10142
Duration (semester)
1

Modellbildung & Simulation für die Biomedizintechnik
PF

4 SWS

5 ECTS

Number
10190
Duration (semester)
1

Praxisnahe Grundlagen 3
PF

5 SWS

5 ECTS

Number
10200
Duration (semester)
1

Sensorik & Messtechnik
PF

4 SWS

5 ECTS

Number
10170
Duration (semester)
1

4. Semester of study

Fachpraktikum 1 Biomedizintechnik
PF

5 SWS

5 ECTS

Number
10280
Duration (semester)
1

Medizinische Systeme
PF

4 SWS

5 ECTS

Number
10232
Duration (semester)
1

Neurophysiologie
PF

4 SWS

5 ECTS

Number
10230
Duration (semester)
1

Schlüsselqualifikationen
PF

4 SWS

4 ECTS

Number
10270
Duration (semester)
1

Signalverarbeitung & Regelungstechnik
PF

4 SWS

5 ECTS

Number
10220
Duration (semester)
1

Bewegungsanalyse
WP

2 SWS

3 ECTS

Number
10432
Duration (semester)
1

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren
WP

2 SWS

3 ECTS

Number
10416
Duration (semester)
1

Applied biosignal processing - beat detection
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

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

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

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
Contact time
45h
Self-study
45h

Learning outcomes/competences

Students know the tasks and the necessity of assessing the condition of the components components (equipment) of an electrical system. The different types of tests (factory tests, on-site tests) and the use of modern online monitoring systems are known to the students. Students are able to determine the necessity and scope of determine the necessity and scope of testing low-voltage systems in accordance with the applicable regulations (e.g. DGUV V3). The measurement procedures and the necessary steps for carrying out and interpreting tests, taking into account the applicable regulations on occupational safety, are known. The diagnostic and monitoring procedures for assessing the condition of primary technical equipment (e.g. transformers, cables, circuit breakers, etc.) and the informative value of the various various measurement methods can be reproduced. In addition, students are able to to create suitable test plans for the condition assessment of a piece of equipment. The measurement methods and the relevance of testing an earthing system are understood. In addition students acquire knowledge and skills in the field of testing secondary technical systems of an electrical systems of an electrical installation (e.g. protection technology, control technology). The students have a good overview of the common measuring devices used in practice.

Introduction to the testing and condition assessment of electrical systems: tasks and necessity, Condition assessment and maintenance strategies, role of testing in condition assessment, types of tests, online monitoring of electrical installations, operational load on electrical systems (currents, voltages, harmonics), standards and regulations.

Teaching methods

Lecture and exercise:

Seminar-style lecture

Practical exercise (practical exercises may take place in the laboratory)

Excursion (optional)

Participation requirements

Formally, the requirements of the applicable examination regulations apply

In terms of content: multiphase systems, networks, systems

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 Energy Economics and Energy Data Management

Importance of the grade for the final grade

1,54%

Literature

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-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

RMS anerk.
WP

2 SWS

3 ECTS

Number
RMS
Duration (semester)
1
Contact time
45h
Self-study
45h

Learning outcomes/competences

After completing the module, students will be able to:
- understand and apply the basics of the Robot Operating System (ROS)
- realize navigation and control of robots with the help of ROS
- apply image processing and computer vision
- transfer control engineering concepts to robot applications
- carry out simulations of robots
- use embedded ROS (MicroROS) to control sensors and actuators

Introduction to the Robot Operating System (ROS) and its possible applications
- Navigation and control of robots (Prof. Andreas Becker)
- Implementation of simulations of robots (Prof. Thomas Straßmann)
- Transfer of control engineering concepts to robot systems (Prof. Yan Liu)
- Application of image processing and computer vision (Prof. Jörg Thiem/Dr. Tai Fei)
- Use of embedded ROS (MicroROS) to control sensors and actuators (Prof. Christof Röhrig) Internship in the RT lab(Liu):
Experiment 1: Introduction of the robot platform: EduRob
Experiment 2: Control of the EduRob
Experiment 3: Integration of a controller for EduRob

Teaching methods

The course is offered in two parts: - lecture series (2 SWS) and - practical course (1 SWS).

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Oral examination
Internship: Ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

RMS anerk.
WP

2 SWS

3 ECTS

Number
RMS
Duration (semester)
1

Regulatorische Grundlagen für Medizinprodukte - Teil I
WP

2 SWS

3 ECTS

Number
10437
Duration (semester)
1
Contact time
48h
Self-study
132h

Learning outcomes/competences

Students will be able to analyze and dimension basic power electronics circuits. They know and recognize the switching behavior of the individual components and are able to use them sensibly in practical applications.

Practical course:
The practical course is an important supplement to the theory taught in the lectures. Students learn how to handle power electronic devices and practice using high-quality measuring devices such as digital current, voltage and power meters, oscilloscopes, computer-aided measuring systems and simulation programs. They are encouraged to work in a team and to document their measurement results in a systematic and clear manner.

The basic knowledge of power electronics is taught. The principles are explained, the components of power electronics are introduced and the basic circuits of power electronics are covered. The circuit structure and components are deepened through reference to practical application examples.

Contents:   - Structure, function and properties of modern power semiconductors
                  - Non-commutating, grid-connected and self-commutated converter circuits
                  - Modulation methods
Practical applications:
                  - Inverter circuits in industrial applications
                  - DC/DC converters
Speed control by means of frequency inverter
- Speed control by means of frequency inverter

Practical course:
Experiment 1 Characteristic curves of power semiconductors
                        Diode, thyristor, MOS-FET, IGBT
                        Measurements: Characteristic curves of the components

Experiment 2 Rectifier in single-pulse circuit (M1)
                      Uncontrolled and controlled M1 circuits with different loads
                       Measurements: Current and voltage curves, control characteristics

Experiment 3 Alternating current controller (W1) and two-pulse center point circuit (M2)
                     W1 circuit with resistive and resistive-inductive load
                        M2 circuit with and without smoothing choke,
                       Measurements: Current and voltage curves, control characteristics,
                        Active and reactive power curves, gap operation

Teaching methods

The theoretical knowledge is presented and explained in the lecture. Based on the components presented, their structure and functionality are worked out together. The basic circuits are presented and their function is explained using examples. The dimensioning of the circuits is applied and further deepened in exercises on practice-oriented tasks. Accompanying lecture notes are available to all students.

Practical course:
The theory taught in the lecture is deepened and supplemented by practical experiments. The individual experiments are described in detail in special instructions. It is expected that the student prepares for the practical experiment, i.e. that he/she is familiar with the task and masters the underlying theory. The experiments are carried out independently in a team under professional supervision and documented and discussed in a joint paper.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

Regulatorische Grundlagen für Medizinprodukte - Teil II
WP

2 SWS

3 ECTS

Number
10438
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
Contact time
45h
Self-study
45h

Learning outcomes/competences

After completing the module, students will be able to:
- understand and apply the basics of the Robot Operating System (ROS)
- realize navigation and control of robots with the help of ROS
- apply image processing and computer vision
- transfer control engineering concepts to robot applications
- carry out simulations of robots
- Use embedded ROS (MicroROS) to control sensors and actuators
use

Teaching methods

The course is offered in two parts: - lecture series (2 SWS) and - practical course (1 SWS).

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Oral examination
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

1,54%

Literature

Sensorik
WP

2 SWS

3 ECTS

Number
10411
Duration (semester)
1
Contact time
48h
Self-study
132h

Learning outcomes/competences

The aim of the Electrical Machines course is to acquire basic knowledge of the application and operating behavior of electrical machines. The general principle of electromechanical energy conversion is first explained and the most important electrical machine types, direct current, asynchronous and synchronous machines, are fundamentally derived from this and modeled using equivalent circuit diagrams. By taking a comparative approach to the various electrical machines, students are able to familiarize themselves with the details of specific electrical machines and apply their knowledge to the selection and project planning of electrical machines.
Practical course:
Various practical experiments are carried out on direct current, asynchronous and synchronous machines and their operating behavior is understood.

- Presentation of the diversity and areas of application of electrical machines
- Repetition of the magnetic circuit, law of induction, energy, co-energy, inductance and transformer
- Fundamentals of electromechanical energy conversion (principles of action, energetic consideration, virtual
displacement, force, torque, equation of motion, mass moments of inertia, gears and typical
load characteristics)
- DC machines (operating principle, commutator, armature windings, winding diagrams, equivalent
circuit diagram, wiring variants, stationary
circuit variants, steady-state operating behavior, power balance and losses, commutation effects,
universal motor)
- Rotating field theory (alternating fields, rotating fields, winding factors, complex space vectors, stray fields)
- Asynchronous machines (design and variants, operating principle, equivalent circuit diagrams, steady-state operating behavior,
rotor slot shapes, speed variation, insulation material classes, rating plate, single-phase asynchronous motors)
- Synchronous machines (design and variants, operating principle, equivalent circuit diagrams, steady-state operating behavior
of full and salient pole rotors, permanent magnet excitation, switched reluctance motors)
Practical course:
Classical test set-ups for direct current, asynchronous and synchronous machines: open circuit, short circuit, load. Evaluation of measurement results and presentation of characteristic curves.

Teaching methods

The theoretical knowledge is presented and explained in the lecture. In the exercise, what has been learned is deepened using practical examples.
Practical course:
The theory taught in the lecture is deepened and supplemented by practical experiments. The individual experiments are described in detail in special instructions. It is expected that the student prepares for the practical experiment, i.e. that he/she is familiar with the task and masters the underlying theory. The experiments are carried out independently in a team under professional supervision and documented in a joint elaboration in the form of a report.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Written exam
Internship: ungraded proof of participation

Requirements for the awarding of credit points

Module examination must be passed
Internship: Ungraded proof of participation must be provided

Applicability of the module (in other degree programs)

BA Electrical Engineering

Importance of the grade for the final grade

3,08%

Literature

[1] Binder, A.: Elektrische Maschinen und Antriebe. Springer Vieweg, Berlin, 2017
[2] Bolte, E.: Elektrische Maschinen. Springer Vieweg, Berlin, 2018
[3] White, D. C., H. H. Woodson: Electromechanical energy conversion. Wiley, New York, 1959
[4] Eckhardt, H.: Grundzüge der elektrischen Maschinen. B. G. Teubner, Stuttgart, 1982
[5] Müller, G., B. Ponick: Grundlagen elektrischer Maschinen. Wiley-VCH, Weinheim, 2014
[6] Müller, G., B. Ponick: Theorie elektrischer Maschinen. Wiley-VCH, Weinheim, 2009
[7] Bödefeld, T., H. Sequenz: Elektrische Maschinen. Springer, Wien, 1971
[8] Schröder, D., R. Kennel: Elektrische Maschinen. Springer Vieweg, Berlin, 2021
[9] Woodson, H. H., J. R. Melcher: Electromechanical Dynamics. Wiley, New York, 1968
[10] Gerling, D.: Vorlesungsmanuskripte zu elektrischen Maschinen und Antrieben (z. T. herunterzuladen)

Softwareentwicklung robotischer Systeme mit ROS
WP

2 SWS

3 ECTS

Number
10444
Duration (semester)
1

5. Semester of study

Fachpraktikum 2 Biomedizintechnik
PF

5 SWS

5 ECTS

Number
10350
Duration (semester)
1

Diagnose & Therapie
PF

4 SWS

5 ECTS

Number
10311
Duration (semester)
1

Normen, HW/SW-Sicherheit, Daten, EMV
PF

4 SWS

5 ECTS

Number
10312
Duration (semester)
1

Seminar Biomedizintechnik
PF

4 SWS

5 ECTS

Number
10300
Duration (semester)
1

6. Semester of study

Bachelor Arbeit und Abschluss-Kolloquium
PF

4 SWS

15 ECTS

Number
101
Duration (semester)
1
Contact time
60h
Self-study
120h

Learning outcomes/competences

Students acquire an understanding of the development, structure and application of standards systems and are able to implement the most important standards in practice in operational processes. They know their duties, tasks and responsibilities as an electrician.
Students can work and think scientifically. They have an understanding of scientific proof and the necessary documentation. They know the formal structure of a scientific publication, cite correctly and have an awareness of the problem of plagiarism.
You have knowledge and skills in the use of software in the field of artificial intelligence.

Standards and safety technology
- Structure of the standards system, international, European, national
- Laws, ordinances and accident prevention regulations
- The relevant standards for safety in systems and companies
- Tasks, duties and safety of qualified electricians
- Organization of electrical safety in the company
- Dimensioning of protective devices
- Organization of protective measures, practical safety solutions

Scientific work:
- Preparation of a scientific report
- Structure: Abstract, introduction, presentation of the work, summary, appendix
- Layout: text, graphics, especially diagrams, formulas, citations
- Scientifically correct citation methods
- Scientific misconduct (plagiarism)
- Dealing with artificial intelligence tools
- Physical units and prefixes
- Introduction to engineering methods for data analysis: mean values, standard deviation, measurement errors, linear adjustment calculation, correlation factor

Teaching methods

Standards and safety technology:
The specialist knowledge is presented and explained in the lecture. In the exercises, the methodological knowledge taught is demonstrated in practical application. The theoretical knowledge is deepened using components. The participants actively contribute to the course with their own presentations. The lecture notes and exercises will be made available for download on the internet.

Scientific work:
The lecture conveys the theoretical content. Based on typical tasks, corresponding practical problems are dealt with promptly in the associated exercises.

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

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

3,08%

Literature

DIN VDE 0100 Errichten von Starkstromanlagen
BGV Unfallverhütungsvorschriften
Vorschriften der Europäischen Gemeinschaft
VDE-Schriftreihe Normen Verständlich; „Betrieb von elektrischen Anlagen“; Verfasser: Komitee 224
Hohe, G.; Matz, F.: VDE-Schriftreihe Normen Verständlich; „Elektrische Sicherheit“
Vorlesungsskript Normen und Sicherheitstechnik
Heike & Lutz Hering: Technische Berichte, 7. Auflage, Springer Vieweg Wiesbaden 2015
Martin Kornmeier: Wissenschaftlich schreiben leicht gemacht, 6. Auflage, UTB-Bandnr. 3154
Eden,K; Gebhard, H: Dokumentation in der Mess- und Prüftechnik, 2. Auflage, Springer-Vieweg Wiesbaden

Projektorientiertes Arbeiten 1
PF

4 SWS

4 ECTS

Number
10340
Duration (semester)
1

Projektorientiertes Arbeiten 2
PF

2 SWS

15 ECTS

Number
10380
Duration (semester)
1

Study plan

Informatik 1

BioChemie

Grundlagen der Signal- und Systemtheorie

Fachpraktikum 1 Biomedizintechnik

Fachpraktikum 2 Biomedizintechnik

Bachelor Arbeit und Abschluss-Kolloquium

Mathematik 1

Grundlagen der Elektrotechnik

Informatik 3

Medizinische Systeme

Diagnose & Therapie

Projektorientiertes Arbeiten 1

Mikroprozessortechnik

Informatik 2

Kardiovaskuläres System

Neurophysiologie

Normen, HW/SW-Sicherheit, Daten, EMV

Projektorientiertes Arbeiten 2

Physik 1

Mathematik 2

Modellbildung & Simulation für die Biomedizintechnik

Schlüsselqualifikationen

Seminar Biomedizintechnik

Physiologie & Anatomie

Physik 2

Praxisnahe Grundlagen 3

Signalverarbeitung & Regelungstechnik

Praxisnahe Grundlagen 1

Praxisnahe Grundlagen 2

Sensorik & Messtechnik

Compulsory elective modules (32)

Compulsory elective modules 1. Semester

Compulsory elective modules 2. Semester

Compulsory elective modules 3. Semester

Compulsory elective modules 4. Semester

Bewegungsanalyse

Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren

Applied biosignal processing - beat detection

Ausgewählte Kapitel der Digitalen Technologien 1

Ausgewählte Kapitel der Digitalen Technologien 2

Ausgewählte Softwaresysteme - Programmierung IV

Automotive Systems

Bildgebende Verfahren der Medizintechnik 1

Bildgebende Verfahren der Medizintechnik 2

Cyber Security 1

Cyber Security 2

Digitale Signalverarbeitung 2

Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme

EM Design

Einführung in Maschinelles Lernen und Künstliche Intelligenz

Einführung in die Radartechnik

Embedded Systems Hardware Design and Rapid Prototyping

Extended Reality

Extended Reality 2

Grundlagen der Mensch-Computer-Interaktion

IoT-Protokolle

Mathematik Ergänzungen 1

Mathematik Ergänzungen 2

Medizinische Signalverarbeitung

RMS anerk.

RMS anerk.

Regulatorische Grundlagen für Medizinprodukte - Teil I

Regulatorische Grundlagen für Medizinprodukte - Teil II

Robotik 1

Robotik 2

Sensorik

Softwareentwicklung robotischer Systeme mit ROS

Compulsory elective modules 5. Semester

Compulsory elective modules 6. Semester

Module overview

1. Semester of study

Informatik 1PF 4 SWS 5 ECTS

Learning outcomes/competences

Contents

Teaching methods

Participation requirements

Forms of examination

Requirements for the awarding of credit points

Applicability of the module (in other degree programs)

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

Physiologie & Anatomie
PF

4 SWS

5 ECTS

Praxisnahe Grundlagen 1
PF

5 SWS

5 ECTS

BioChemie
PF

4 SWS

5 ECTS

Grundlagen der Elektrotechnik
PF

4 SWS

5 ECTS

Informatik 2
PF

4 SWS

5 ECTS

Mathematik 2
PF

4 SWS

5 ECTS

Physik 2
PF

4 SWS

5 ECTS