Master Fahrzeugentwicklung

Fast facts

Department
Maschinenbau
Stand/version
2019
Standard period of study (semester)
3
ECTS
0

Study plan

1. Semester	2. Semester	3. Semester
Dynamische Systeme PF 3SWS 3ECTS	Masterprojekt PF 9SWS 10ECTS	Masterprüfung PF 0SWS 30ECTS
Fahrzeugdynamik / Antriebsstrang PF 4SWS 5ECTS	Numerische Methoden und Stochastik PF 4SWS 5ECTS
Höhere Mathematik PF 4SWS 5ECTS	Thermo- und Fluiddynamik PF 5SWS 5ECTS
Mechanik PF 7SWS 7ECTS	Compulsory elective modules (30)
Compulsory elective modules (12)

Compulsory elective modules 1. Semester

IT-Sicherheit und Datenmanagement

WP
6SWS
8ECTS

Compulsory elective modules 2. Semester

Angewandte Künstliche Intelligenz

WP
6SWS
8ECTS

Ausgewählte Kapitel des Maschinenbau

WP
4SWS
5ECTS

Automatisierungstechnik (Aktorik, Sensorik, MSR)

WP
4SWS
5ECTS

Bruchmechanik- und Strukturanalyse

WP
4SWS
5ECTS

Fahrassistenzsysteme / Verkehrsleitsysteme

WP
4SWS
5ECTS

Mechatronic Systems Engineering

WP
4SWS
6ECTS

Microelectronics & HW/SW Co-Design

WP
4SWS
6ECTS

Robotik (Montage- und Handhabungstechnik)

WP
4SWS
5ECTS

SW Architectures for Embedded and Mechatronic Systems

WP
4SWS
6ECTS

Schaltungsanalyse und -synthese

WP
4SWS
5ECTS

Signals and Systems for Automated Driving

WP
4SWS
6ECTS

Compulsory elective modules 3. Semester

Module overview

1. Semester of study

Dynamische Systeme
PF

3 SWS

3 ECTS

Number
5530
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students know the basic methods for describing signals and systems in the original and time domain. They acquire the ability to use the methods covered for basic system analysis. With the support of common software tools for modeling and simulation, students acquire the competence to design systems and evaluate simulation results. Students will be able to apply their newly acquired knowledge and the methods covered to specific problems in measurement and control technology.

Signals and systems
Signal synthesis and Test functions
Linear, time-invariant systems
Modeling and simulation in the original domain
Laplace transformation
Transfer functions
Impulse, step, rise and oscillation response
Modeling and simulation in the image domain
Analysis and design of control and regulation systems

Teaching methods

Seminar-style lecture with integrated exercises.

Participation requirements

Formal: none
Content: none

Forms of examination

The module examination consists of a written exam. The duration is 120 minutes.

Requirements for the awarding of credit points

The module examination is graded and must be passed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

Master Vehicle Development

Importance of the grade for the final grade

6.25% (cf. StgPO)

Literature

Föllinger, O.: Regelungstechnik, Berlin: VDE Verlag, 2016
Föllinger, O.: Laplace-, Fourier- und z-Transformation, Berlin: VDE Verlag, 2011
Frey, T., Bossert, M.: Signal- und Systemtheorie, Wiesbaden: Vieweg+Teubner, 2008
Lunze, J.: Regelungstechnik I, Berlin: Springer Vieweg, 2016
Lunze, J.: Automatisierungstechnik, DeGruyter Oldenbourg-Verlag, 2016
Weber, H., Ulrich, H.: Laplace-, Fourier- und z-Transformation, Wiesbaden: Vieweg+Teubner, 2012

Fahrzeugdynamik / Antriebsstrang
PF

4 SWS

5 ECTS

Number
5553
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students know the basics of drive systems, both in terms of how they work and in particular with regard to the specific requirements of mobile applications in vehicles. They will be able to calculate and evaluate their energy values. They know the dynamic relationships for determining the vehicle power requirement and can calculate the power requirement (wheel hub requirement) of vehicles in any driving conditions.
Students can determine and evaluate the traction conditions in driving situations of longitudinal dynamics.
Students know the energy storage systems and energy converters in the vehicle and can calculate the time and distance-related energy and fuel consumption for stationary driving conditions and determine and evaluate the range of vehicles with limited energy storage. They know the energy converters (drive machines, speed and torque converters) and can describe how they work. You will be able to interpret the characteristic maps of energy converters and can adapt mobile drive systems to different vehicle requirements.

Introduction to the course
Vehicle drives, characteristic curves, characteristic maps
Power requirements of vehicles
Traction of wheeled vehicles
Drive train
- Energy storage
- Mobile drive machines
- Energy converters in the drivetrain
Vehicle transmissions
Maps of the energy converters in the vehicle
Drive tuning in the motor vehicle
Energy consumption / fuel consumption in the standard cycle
Summary, evaluation and outlook for vehicle drives

Teaching methods

Seminar lecture

Participation requirements

Formal: none

Content: Basics of mechanics / dynamics are required

Forms of examination

The module concludes with a written examination.
Duration: 120 minutes

Assistance permitted:

Pocket calculator
A collection of formulas will be provided

Oral examinations or combination examinations are also possible.

Requirements for the awarding of credit points

The module examination must be passed with a minimum grade of sufficient (4.0);

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Eckstein: Längsdynamik von Kraftfahrzeugen
Weiterführende Literatur wird zu Beginn der LV bekannt gegeben

Höhere Mathematik
PF

4 SWS

5 ECTS

Number
5510
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students...

know advanced mathematical concepts and techniques of linear algebra and multidimensional analysis.
are able to apply methods of differential and integral calculus for functions of several variables to determine extreme points with constraints, calculate curve, area and volume integrals, if necessary using integral theorems.
are able to solve higher-order linear differential equations, using the Laplace transform if necessary.
are able to establish the connection between mathematical theory and engineering problems, in particular with regard to modeling by ordinary or partial differential equations, as well as the use of Fourier series and transformation.

Higher linear algebra
Vector analysis: scalar and vector fields, gradient of a scalar field, divergence and rotation of a vector field, curve and surface integrals, integral theorems of Gauss and Stokes and their physical meaning
Laplace and Fourier transformations
Extrema with constraints
Differential equations (DGL): ordinary DGL of higher order, systems of linear DGL
Basics of partial differential equations: initial value problems, boundary value problems

Teaching methods

Seminar-style lectures and exercises. The lectures convey the theoretical content. Application examples and practical problems are dealt with promptly in exercises based on typical tasks.

Participation requirements

Formal: none

Content: Basic knowledge from previous Bachelor studies

Forms of examination

The module concludes with a written exam as a module examination.
The exam consists of several tasks corresponding to the topics covered in the lecture and in the exercises.
Duration: 120 minutes

Allowed aids:

Script
Collection of formulas (in book form)
Non-programmable pocket calculator

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Herrmann, N.: Mathematik für Ingenieure, Physiker und Mathematiker, Oldenbourg, 2007
Papula, L.: Mathematik für Ingenieure und Naturwissenschaftler, Bd.3, Vieweg, 2011

Mechanik
PF

7 SWS

7 ECTS

Number
5540
Language(s)
de
Duration (semester)
1
Contact time
7 SV / 105 h
Self-study
105 h

Learning outcomes/competences

Higher Engineering Mechanics
Students are familiar with the mathematical and physical relationships underlying higher technical mechanics and are able to model complex systems independently. They can calculate complex mechanical models of statics and dynamics using the appropriate methods.

Machine dynamics
The students have mastered the analytical, numerical and experimental methods for determining and designing the dynamic behavior of machines and vehicles. Students will be able to assess three-dimensional stress states of components using simple means.

Higher Engineering Mechanics

Stresses and deformations of disc, plate and shell structures with

edge interference effects

Machine dynamics:

Modeling damped, elastic multibody systems and continua
analytical and numerical determination of natural frequencies, eigenmodes and response behavior to excitation mechanisms,
Active and passive vibration damping methods,
Vibration measurement technology on machines and vehicles

Teaching methods

Seminar events

Participation requirements

Formal: none
Content: none

Forms of examination

Exam papers as Partial examinations (MTP) in all courses of the module.

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

none

Importance of the grade for the final grade

7/60 x 75 %

Literature

Höhere technische Mechanik: Vorlesungsumdruck
Maschinendynamik: Vorlesungsumdruck

Automatisierung und Sensorik
WP

6 SWS

8 ECTS

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

Learning outcomes/competences

Students are familiar with the structure, function and requirements of electronic systems in the field of automation technology. They know how information is recorded, processed, evaluated and passed on in automation technology. They know components for the automation of production systems and are able to understand how they interact and communicate with each other. In addition, they can analyze problems in production measurement technology and develop basic solutions for them. They are familiar with different measuring principles and sensor systems, as well as methods for increasing the resolution and accuracy of the measured variables and can apply them.
Students are able to analyze and discuss technical problems independently and in small groups and present the results. They are familiar with different types of communication and presentation techniques and can apply these in professional practice.

Industrial Electronics and Automation Technology course:
- Systems and components of automation technology
- Requirements for electronic components in automation technology
- Industrial communication and interfaces (e.g. AS-Interface, Profibus, IO-Link)
- Distance sensors in automation technology
- Optical transmitters
- Reliability of devices and systems
- Risk analysis in electronics and automation technology (e.g. Failure Modes and Effects Analysis; FMEA)

Measurement systems and sensors course:
- Important basic terms and methods of production measurement technology
- Basic principles of analog and digital processing of sensor signals
- Components of signal processing and conversion
- Systems and components for signal generation and detection
- Measurement and testing technology for non-destructive testing
- Design and function of selected measurement systems in automation technology (e.g. NMR measurement system)

Teaching methods

Seminar-based course with application examples from industrial practice. Selected specialist content is developed independently by the students and presented in a practice-relevant form (e.g. team meeting, online meeting). The technical and methodological knowledge acquired is further deepened in exercises using suitable problems and tasks.

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

Gevatter, Hans-Jürgen: Handbuch der Mess- und Automatisierungstechnik in der Produktion, Springer Verlag
Heinrich, Berthold: Grundlagen Automatisierung, Springer Verlag
Hering, Ekbert; Martin, Rolf: Photonik, Springer Verlag
Hesse, Stefan: Sensoren für die Prozess- und Fabrikautomation, Springer Verlag
Jahns, Jürgen: Photonik, Oldenbourg Wissenschaftsverlag
Keferstein, Claus P.: Fertigungsmesstechnik, Springer Verlag
Schiffner, Gerhard: Optische Nachrichtentechnik, Springer Verlag
Schnell, Gerhard: Bussysteme in der Automatisierungs- und Prozesstechnik, Vieweg+Teubner Verlag
Werdich, Martin: FMEA - Einführung und Moderation, Vieweg+Teubner Verlag
Wratil, Peter; Kieviet, Michael: Sicherheitstechnik für Komponenten und Systeme, VDE Verlag
Meyer, Martin: Signalverarbeitung, Springer Verlag
Blümich, Bernhard; Haber-Pohlmeier, Sabina; Zia, Wasif: Compact NMR, De Gruyter Verlag
Diverse wissenschaftliche Veröffentlichungen

Cyber Security B
WP

4 SWS

6 ECTS

Number
RMS
Duration (semester)
1

Learning outcomes/competences

Test

Dezentrale Energiesysteme
WP

0 SWS

8 ECTS

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

Learning outcomes/competences

Students learn about an important element of future energy supply based on a case study, district concepts and decentralized systems in general. They understand the requirements of the changing energy world, which is increasingly integrating smaller generation units and flexible consumers as well as storage systems. You will know the characteristics of the various decentralized systems for electricity and heat generation in particular. You will understand the different technical concepts for electricity storage. This also includes the concepts that use heat storage for the flexibility of electricity generation and use. They understand the requirements for communication and control technology resulting from the aggregation of many decentralized generation and storage systems and flexible consumers.
Students understand the Business Studies requirements for decentralized systems and possible business models for the interaction of market participants. They learn the various interfaces and applications for decentralized systems from the perspective of the players in the energy supply: Generation, trade, sales and grids, as well as from the perspective of users in companies and administration. They are familiar with the different markets for decentralized systems and know the prerequisites for becoming successfully active in these markets. Alternative marketing and utilization concepts such as direct supply and self-consumption and their economic evaluation are understood. Students will be able to model, optimize and economically evaluate decentralized systems using simulation software commonly used in the market.

Energy generation and storage systems and other flexibility mechanisms
- Technology of decentralized energy generation (photovoltaics, wind, biomass, ...)
- Electricity storage technology (pumped storage, batteries, compressed air storage, methane and hydrogen storage, ...)
- Examples of flexible consumers (electrolysis, electromobility, ...)
- Concepts of mixed systems (CHP or heat pumps with heat storage, ...)
- Communication and control of decentralized systems

Business Studies of decentralized systems
- Energy markets and marketing potential for decentralized generation, storage and flexibility
- Markets for energy, market roles and contractual communication
- Business models for the defined market roles
- Business Studies on the optimization of decentralized systems

Modeling decentralized systems
- Introduction to the software used
- Modeling the case studies
- Simulation and optimization
- Economic/technical evaluation

Teaching methods

Lectures and seminar

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

Project work: the students create a concept study on a neighborhood chosen as a case study

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

Albersmann, J. et al.: Virtuelle Kraftwerke als wirkungsvolles Instrument für die Energiewende, PricewaterhouseCoopers, 2012
Graeber, D.R.: Handel mit Strom aus erneuerbaren Energien, Springer Gabler, Wiesbaden, 2014
Ströbele, W.; Pfaffenberger, W.; et al: Energiewirtschaft: Einführung in Theorie und Politik , 4. Auflage, Oldenbourg Verlag, 2020
Bhattacharyya, S. C.: Energy Economics - Concepts, Issues, Markets and Governance, 2. Auflage, Springer Verlag, 2019
Konstantin, Panos: Praxisbuch Energiewirtschaft, 4. Auflage, Springer Vieweg, 2017
Zenke, I.; Wollschläger, St.; Eder. J. (Hrsg): Preise und Preisgestaltung in der Energiewirtschaft, De Gruyter, Berlin, 2015
Swider, Derk Jan (2006): Handel an Regelenergie- und Spotmärkten, Dissertation an der Universität Stuttgart, Deutscher Universitäts-Verlag, Wiesbaden.
Quaschning, V., „Eneuerbare Energien und Klimaschutz“, Hanser Verlag 2013
Schmiegel, A, „Energiespeicher für die Energiewende“, Hanser Verlag 2019
Karle, A.,“Elektromobilität – Grundlagen und Praxis“, Hanser Verlag 2018

Energie- und Umwelttechnik
WP

4 SWS

5 ECTS

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

Learning outcomes/competences

After successfully completing the module, students will be able to...

take a differentiated view of the challenges of large electricity grids with regard to the energy transition
distinguish between individual aspects, advantages and disadvantages and emissions of subcomponents
create independent system simulations in Matlab/Simulink
analyze individual components and specific properties based on these simulations.

deal with subcomponents in depth and are able to independently refine the simulations using their newly acquired knowledge
develop concepts for operating emission-free electricity grids on the basis of simulations
consider and estimate the costs of different electricity grids.

Large electricity grids and their subcomponents (power plants, renewable energies, grids, controls)
Challenges of the energy transition
Simulations in Matlab/Simulink

Teaching methods

Seminar-style teaching

Simulation task with Matlab / Simulink for in-depth consideration in individual work; if necessary, sub-components are taken over by fellow students; mutual support and exchange between students is desired; presentation of the independently developed topics by the students in the form of a presentation

Participation requirements

Formal: none

Content: none

Forms of examination

The module examination consists of two partial performances:

Part 1:

With > 4 participants, a 75-minute written exam is taken. The exam tests knowledge of the German electricity grid, the systemic relationships of the electricity grid and the application of what has been learned to other topics. The written exam counts for 100% of the overall grade.

For < 4 participants, a 45-minute oral examination is held as part of a technical discussion. The students demonstrate their knowledge of the German electricity grid, their knowledge of the systemic interrelationships of the electricity grid and apply what they have learned to new topics. The technical discussion counts for 100% of the overall grade.

Part 2:

During the semester, students develop an individual specialist topic and a corresponding Simulink simulation model. The specialist topic is presented to the group in a 30-minute lecture and the simulation model including documentation is handed over to the course instructor. The presentation can earn 8% bonus points and the simulation model including documentation can earn a further 8% bonus points in relation to the total number of points for the module.

Requirements for the awarding of credit points

The module examination is graded and is made up of the partial performances. The module examination must be completed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25 % (see StgPO)

Literature

Bitterlich; Lohmann: Gasturbinenanlagen. Komponenten, Betriebsverhalten, Auslegung, Berechnung, Springer Verlag, 2. Auflage, 2018
Schäfer: Systemführung. Betrieb elektrischer Energieübertragungsnetze, Springer Verlag, 2022
Strauß: Kraftwerkstechnik. Zur Nutzung fossiler, nuklearer und regenerativer Energiequellen, Springer Verlag, 6. Auflage, 2009
MATLAB Onramp, Simulink Onramp: https://de.mathworks.com/support/learn-with-matlab-tutorials.html

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

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

Importance of the grade for the final grade

M.A. EuroMPM-IT: 5.4 % (6/84) x 75

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

Höhere technische Akustik
WP

4 SWS

5 ECTS

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

Learning outcomes/competences

The students are able to describe acoustic phenomena objectively and subjectively. To this end, students can apply central acoustic measurement methods for the design of noise and vibration behaviour and use the results for the development of optimized technical systems.

In addition, you will learn how to use acoustic measurement technology and the procedure for machine and vehicle acoustic analysis, e.g. for determining natural frequencies or critical transfer paths. Students are thus able to describe the overall vibration behavior of technical systems and transfer this to the design of low-noise and low-vibration machines.

Furthermore, the effect of noise on people and the social significance of noise emissions are known. In addition to objective limit values, students learn about psychoacoustic effects and methods for evaluating subjective noise impressions and can use these specifically for noise assessment.

Fundamentals of acoustics:
Sound generation and propagation, airborne and structure-borne sound, wave propagation in various transmission media

Acoustic measurement methods:
Noise emission measurements, experimental measurement methods for determining the vibration and noise behavior of components and systems

Human hearing and psychoacoustic effects:
Psychoacoustic basics, analyses of psychoacoustics (e.g. loudness, sharpness, roughness, modulation strength, tonality), listening tests, ethical issues

Vibrational behavior of structures:
Natural frequencies and mode shapes, modal damping, modal analysis, transfer path analysis

Machine acoustics and vehicle acoustics:
Noise and vibration of machines and components, engine acoustics, transmission acoustics, silencers, absorbers

Low-noise design and sound insulation:
Sound insulation and damping, development parameters and design influences for the reduction and optimization of noise and vibration behavior, practical examples

Teaching methods

Seminar-style lecture, exercises and laboratory practicals

Participation requirements

Formal: none
Content: Knowledge of acoustics or vehicle acoustics events is an advantage but not a prerequisite for participation.

Forms of examination

The module examination consists of a written exam, duration 120 minutes
Permitted aids: TR, 1 DIN A4 sheet of single-sided self-written FS

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Henn/Sinambari/Fallen: Ingenieurakustik, Vieweg+Teubner Verlag, 2008
Kollmann, Maschinenakustik, Springer-Verlag, 1993
Möser: Technische Akustik, Springer-Verlag, 2015
Pflüger, Brandl, Bernhard, Feitzelmayer: Fahrzeugakustik, SpringerWienNewYork, 2010
Schirmer (Hrsg.): Technischer Lärmschutz, Springer, 2006
Zeller: Handbuch Fahrzeugakustik, Springer Vieweg Verlag, 2018

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

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

Lean Production
WP

4 SWS

5 ECTS

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

Learning outcomes/competences

After successfully completing the module, students are able to:

apply lean methods and tools in accordance with VDI 2870-1 and implement measures to reduce waste in direct and indirect areas
interpret and critically scrutinize the most important key production figures
visually represent and evaluate the status of a production process of a product family with regard to the flow of materials and information
identify synergies of lean management, digitalization and resource-efficient production

Lean Production / Toyota Production System
Design principles of holistic production systems:
- Standardization
- Pull principle
- Flow production
- Visual management and key production figures
- Avoidance of waste
- Zero-defect principle
- Employee orientation
Process mapping and analysis, value stream mapping and design
Lean, green & digital: factory of the future

Teaching methods

Lecture and laboratory practicals

Participation requirements

Formal: none
Content: none

Forms of examination

The module examination consists of two parts. As part of the first part, students complete weekly laboratory exercises in group work during the semester, which contribute 50% to the overall module grade. The second part is a 10-minute oral examination, which takes place as part of a technical discussion. The students prove that they can reproduce their knowledge of lean production and apply it to conceptual issues in the sense of a transfer performance. The technical discussion accounts for 50% of the overall grade.

Requirements for the awarding of credit points

The module examination (including all partial performances) must be completed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Vorlesung: Skript des Lehrenden
Bertagnolli, F.: Lean Management. Einführung und Vertiefung in die japanische Management-Philosophie, Springer Verlag, Berlin 2018
Dombrowski, U., Mielke, T. (Hrsg.): Ganzheitliche Produktionssysteme. Aktueller Stand und zukünftige Entwicklungen (VDI Buch). Springer Verlag, 2015
Westkämper, E.: Einführung in die Organisation der Produktion; Springer Verlag, Berlin 2006

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

Produktentwicklung und CAE
WP

4 SWS

5 ECTS

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

Learning outcomes/competences

The students have a basic knowledge of the product development process, from product planning to finalization. They know and describe the procedure for parameterized design, free-form surface design and FE calculation of components. You will analyze, design and evaluate design tasks. You will be able to convert CAD models into FE models and calculate them successfully. You will be able to correctly assess and evaluate the FE results.

Basics of product development
In-depth introduction to assembly design using parametric design and via installation spaces and references
Parametric surface modeling
FE calculation methods based on CAD models
Application to static calculations of construction modules and assemblies

Teaching methods

Seminar-style lecture in interaction with the students. Independent CAD and FEM exercises on the computer based on practical examples, with subsequent presentation of the results by the students, practicing various forms of presentation.

Participation requirements

Formal: none
Content: none

Forms of examination

The module examination consists of a written exam in which students are required to recall and remember basic and advanced knowledge of product development in order to apply it to practical issues. Duration 60 minutes
Permitted aids: printed lecture notes without calculated exercises and calculator

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Bonitz, P.: Freiformflächen in der rechnerunterstützten Karosseriekonstruktion und im Industriedesign, Springer, 2009
Piegl and Tiller, The Nurbs Book, 2. Auflage, Springer
Sandor, V. et. al., CAx für Ingenieure, 3.Auflage, Springer Vieweg

2. Semester of study

Masterprojekt
PF

9 SWS

10 ECTS

Number
5560
Language(s)
de
Duration (semester)
1
Contact time
9 SV / 120 h
Self-study
180 h

Learning outcomes/competences

Master Project Part 1 - Introduction
The students have learned how to methodically structure and solve a task, preferably from the chosen major field of study, under the guidance of a lecturer.

Integrated management methods
Students are familiar with the complex demands placed on managers in companies,such as project and process management, risk management, quality management.
In particular, the students have an overview of the most important management methods and techniques. Objective parameters for the evaluation of company goals are familiar the leadership and moderation of groups were learned by the studentsin practice-oriented situationsand acquire both professional and social skills .

Master's Project Part 2 - Project Work
Students have the ability to quickly acquire new knowledge methodically and systematically on their own. The final presentation promotes communication skills

Master Project Part 1 - Introduction

The topics from the course areas of the Master's degree program in Mechanical Engineering are handed out by lecturers for processing
The scope of the work is adapted to the available workload

Integrated management methods

Fundamentals of project and process management
Manage processesand improve with methods and techniques such as:

- Balance Score Card,TQM Tools
- PMI/ PMBook
- Transfer certificate according to IPMA
- Project phases according to DIN-ISO 21500 and DIN 69901
- Scrum and agile project management
- 80/20 principle, Pareto analysis, ABC(D) analysis
- Leadership behavior, conducting and leading discussions, moderating work groups, motivation and conflict management, social competence
- Transaction analysis, brainstorming, creative and metaplan techniques

Master's project part 2 - Project work

Work on the topics by the students in a working group if possible
In a written assignment, the design and implementation of, for example, the required calculations and/or measurements are described.e.g. the required calculations and/or measurements and results are documented
Final presentation of the work results

Teaching methods

Seminar courses/internship, laboratory work and/or term paper with appropriate support from a supervising professor

Participation requirements

Formal: none
Content: none

Forms of examination

Exam paper as module examination, project report

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

10/60 x 75 % (cf. MPO)

Literature

Entsprechend der Aufgabenstellung

Numerische Methoden und Stochastik
PF

4 SWS

5 ECTS

Number
5610
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students know the basic phenomena and methods of numerical mathematics and statistics. In addition, students have acquired the necessary content of higher mathematics in close relation to the numerical topics covered.
They are familiar with the mathematical methods required to understand the operation and application of simulation software packages (FEM, CFD, thermodynamics, etc.).

Numerics of linear systems of equations
Interpolation with polynomials and splines
Nonlinearequations
Numeric Integration
Numerics of initial and marginal value tasks
Statistics: elementary probability theory, basic conceptsthe Statistics, parameter estimates, parameter tests, Equalization calculation,

Fundamentals of Trial design (Design of Experiment /DoE) and Introduction in Optimization methods

Teaching methods

Lectures and exercises. The lectures convey the theoretical content. Practical problems are dealt with promptly in exercises based on typical tasks.

Participation requirements

Formal: none
Content: Basic knowledge from previous Bachelor's degree

Forms of examination

Exam papers as module exams

Requirements for the awarding of credit points

Module test (MP) must be passed.

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 x 75 % (cf. MPO)

Literature

Papula, L.: Mathematik für Ingenieure und Naturwissenschaftler, Bd.3, Vieweg, 2001 Herrmann, N.: Mathematik für Ingenieure, Physiker und Mathematiker, Oldenbourg, 2007

Thermo- und Fluiddynamik
PF

5 SWS

5 ECTS

Number
5520
Language(s)
de
Duration (semester)
1
Contact time
2 V / 3 Ü / 75 h
Self-study
75 h

Learning outcomes/competences

The students have in-depth knowledge of material properties, heat and mass transfer as well as the calculation of fluid dynamic processes in combination with heat and mass transfer, with and without phase change. They are proficient in modeling use cases and programming thermodynamic and fluid dynamic calculations.

Heat conduction stationary and transient, heat transfer, heat transfer
Instationary heating and cooling processes, radiation and absorption
Similarity theory of heat transfer, pinch-point method
Heat transfer similarity theory, pinch point method
Dimensionless parameters for determining the heat and mass transfer in different flow forms
Heat exchanger types and designs
Heat transfer with phase change (evaporation and condensation) with dimensionless parameters
Evaporation with bubble boiling, transition boiling and film boiling
Condensation with droplet and film condensation, Nusselt's water-skin theory, condensate flow
Calculation methods for material properties
Analogy to mass transfer, diffusion, mass transfer, mass transfer, layer model
Phase boundaries and boundary layer theory, friction
Pressure loss of different geometries, flow around and through, supporting force concept
Diffusers, confusers, Laval nozzle
Conservation equations, Bernoulli equation, angular momentum theorem, momentum theorem
Basics of fluid dynamics
Gas dynamics, flow of compressible fluids, subsonic and supersonic flow based on critical ratios

Teaching methods

Seminar-style lectures and exercises. Under the guidance of the lecturers, a joint evaluation of practical tasks is carried out, including the development of results based on specific questions.

Participation requirements

Formal: none
Content: none

Forms of examination

Written written exam (120 minutes)
The module examination consists of a written exam in which students are required to demonstrate basic knowledge of combined fluid mechanics and thermodynamics in the form of calculation tasks. In addition, they should be able to transfer this knowledge to practical problems and apply it where necessary.

Requirements for the awarding of credit points

The module examination is graded and must be passed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

Master Vehicle Development

Importance of the grade for the final grade

6.25% (cf. StgPO)

Literature

Baer, H. D. / Stephan, K.: Wärme- und Stoffübertragung, Springer Verlag (neuste Auflage)
Sieckmann, E. / Thamsen, P. U.: Strömungslehre für den Maschinenbau, Springer Verlag (neuste Auflage)
Siegloch, H.: Technische Fluidmechanik, Springer Verlag (neuste Auflage)
VDI-Wärmeatlas, Springer Verlag (neuste Auflage)
Wagner, W.: Wärmeaustauscher, Vogel Verlag (neuste Auflage

Advanced Meshing
WP

4 SWS

5 ECTS

Number
5704
Language(s)
de
Duration (semester)
1
Contact time
2 SV / 30 h
Self-study
90 h

Learning outcomes/competences

Creating a network is the most time-consuming task in all simulation applications. On the one hand, students have the ability to handle a complex network generator effectively. In particular, they will be able to create high-quality meshes for both FEM applications and flow simulations. Students will also be able to reconcile the mathematical relationships with the generated meshes. To this end, the finite difference method and the finite element method are learned using selected examples. Students will be able to solve a spatial differential equation using both of these methods with the aid of a spreadsheet.

The CAD tool is the program package in the development chain of a product that is most intensively responsible for the quality, productivity and innovation capability of a product. Modern CAD programs are becoming increasingly easy to integrate into the product development process by importing data from calculation programs and exporting it to simulation programs.

Mathematical relationships for NURBS
Structure of a CAD program
Parameterization principle
Contents of interfaces: IGES, STEP, Parasolid, STL
Types and contents of CAD interfaces
Parametric modeling with automated data import

Modeling of free-form surfaces

Teaching methods

Seminar and practical courses on the computer. The lectures convey the theoretical content. Practical problems are dealt with in practical courses parallel to the lectures using typical tasks.

Participation requirements

Formal: none
Content: none

Forms of examination

Exam paper as module examination

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 x 75 % (cf. MPO)

Literature

Thompson, Joe F.; Grid Generation Carey,
Graham F.; Computational Grids
Vorlesungsumdruck

Angewandte Künstliche Intelligenz
WP

6 SWS

8 ECTS

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

Learning outcomes/competences

After successfully completing the module, students will be able to...

take a differentiated view of the challenges of large electricity grids with regard to the energy transition
distinguish between individual aspects, advantages and disadvantages and emissions of subcomponents
create independent system simulations in Matlab/Simulink
analyze individual components and specific properties based on these simulations.

deal with subcomponents in depth and are able to independently refine the simulations using their newly acquired knowledge
develop concepts for operating emission-free electricity grids on the basis of simulations
consider and estimate the costs of different electricity grids.

Large electricity grids and their subcomponents (power plants, renewable energies, grids, controls)
Challenges of the energy transition
Simulations in Matlab/Simulink

Teaching methods

Seminar-style teaching

Participation requirements

Formal: none

Content: none

Forms of examination

Requirements for the awarding of credit points

The module examination is graded and is made up of the partial performances. The module examination must be completed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25 % (see StgPO)

Literature

Bitterlich; Lohmann: Gasturbinenanlagen. Komponenten, Betriebsverhalten, Auslegung, Berechnung, Springer Verlag, 2. Auflage, 2018
Schäfer: Systemführung. Betrieb elektrischer Energieübertragungsnetze, Springer Verlag, 2022
Strauß: Kraftwerkstechnik. Zur Nutzung fossiler, nuklearer und regenerativer Energiequellen, Springer Verlag, 6. Auflage, 2009
MATLAB Onramp, Simulink Onramp: https://de.mathworks.com/support/learn-with-matlab-tutorials.html

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

Ausgewählte Kapitel des Maschinenbau
WP

4 SWS

5 ECTS

Number
5761
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students are able to implement current advances in the state of the art and science.

The content taught is interdisciplinary. Students are taught about new developments in the fields of mechanical engineering, electrical engineering, computer science and business administration.
The content is based on various current topics from industry or research.

Teaching methods

Seminar event

Participation requirements

Formal: none
Content: none

Forms of examination

Written examination (written exam)
optionally also oral exams or combination exams

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 X 75%

Automatisierungstechnik (Aktorik, Sensorik, MSR)
WP

4 SWS

5 ECTS

Number
5712
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students use efficient methods to analyze complex production systems with regard to automation requirements. They evaluate the performance of automated production systems using key figures and performance characteristics

Basics of production automation (terms and definitions)
Automated manufacturing processes
Control and regulation technology
Sensors
Actuators
Linking (interfaces)

Control systems (process monitoring and safety)

Teaching methods

The seminar-based course conveys the theoretical content.

Participation requirements

Formal: None
Content: none

Forms of examination

Exam paper as module examination

Requirements for the awarding of credit points

Module test (MP) must be passed

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 x 75 % (cf. MPO)

Literature

Vorlesung: Skript im Downloadbereich des Lehrenden. Föllinger, O.: Regelungstechnik, Hüthig-Verlag, 2008
Hesse: Fertigungsautomatisierung: Automatisierungsmittel, Gestaltung und Funktion, Vieweg 2000

Bruchmechanik- und Strukturanalyse
WP

4 SWS

5 ECTS

Number
5703
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students have an understanding of fracture mechanics, particularly from a materials science perspective.
The objective of fracture mechanics for damage prevention is understood. Students have an overview of fracture mechanics approaches and test methods. They can work out industrial application examples. Students will be able to apply fracture mechanics FEM. They know the FKM regulation and can apply it with software support.

Introduction to fracture mechanics: Failure analysis and prevention, continuum mechanics approach and materials science
Fracture phenomena of metallic components: brittle fracture, ductile fracture, fatigue fracture, anodic stress corrosion cracking SpRk)
Linear-elastic fracture mechanics: Energy balance, stress intensity
Yield fracture mechanics
Fracture mechanics of stable crack propagation due to vibrations and SpRK
Test methods for determining fracture toughness
Understanding fracture mechanics, in particular from a materials science perspective
The objective of fracture mechanics for damage prevention
Overview of fracture mechanics approaches and test methods.
Development of industrial application examples

Application of fracture mechanics FEM

Teaching methods

The basics of fracture mechanics are first taught in lectures.
The knowledge is then reinforced in exercises in which simplified calculations are carried out for constructed problems. In the last part of the course, the acquired knowledge is applied independently under supervision to practical examples using FEM software.

Participation requirements

Formal: none
Content: Passed CAD module exams, participation in the FEM and CFD modules

Forms of examination

Exam paper as module examination

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 x 75 % (cf. MPO)

Literature

Schwalbe: Bruchmechanik, Carl Hanser Verlag
Blumenauer, Pusch: Technische Bruchmechanik, Wiley Verlag

Elektromobilität
WP

4 SWS

5 ECTS

Number
5722
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students are familiar with real and synthetic driving cycles and are able to calculate the power and energy requirements of vehicles in corresponding driving cycles on the basis of the relationships between vehicle longitudinal dynamics.
They are familiar with measurement systems for recording vehicle dynamics data (GPS data logger, OBD interface, CAN bus) and are able to independently record and simulate real driving cycles using the appropriate equipment.
They are familiar with simulation tools (CarMaker driving simulation program, self-created Excel simulation) and can independently set up, carry out, evaluate and analyze driving simulations.
Students are familiar with alternative drive systems for motor vehicles, in particular hybrid vehicles and electric vehicles. In particular, they are familiar with the design of the powertrains of corresponding vehicles and the characteristic maps of the energy converters in alternative drive systems.
You will be able to calculate and evaluate the energy conversion in the drivetrain of various drive systems based on the characteristic maps of energy converters in the vehicle and in coordination with the requirements of the vehicle's longitudinal dynamics. This will enable you to design vehicles with different drive configurations according to requirements, to optimize their design if necessary and to determine the energy requirements (fuel requirements, power requirements, range for electric vehicles) of vehicles using driving simulations.

Driving cycles: Theoretical driving cycles / real driving cycles
Data acquisition on the vehicle (data logger, OBD interface, CAN bus)
Recording and evaluation of real driving cycles
Energy balancing using the example of self-driven driving cycles
Hybrid drive systems for motor vehicles
Electric vehicles
Energy conversion in hybrid systems and electric vehicles
Characteristic fields of energy converters
Vehicle simulation with Excel
Vehicle simulation with CarMaker
Design of electric vehicles according to demand
Primary energy supply / energy flows
Contribution possibilities of networked energy storage systems for electric vehicles to balance peak loads in power grids
Summary, evaluation and outlook for electromobility

The knowledge imparted is deepened and working and calculation techniques are practiced. Exercise sheets are provided for the individual chapters, which are prepared by the students. The solutions to the exercise sheets are worked out together.
Another component of the seminar lecture are test sheets, which are handed out during the course and can be handed in within short deadlines. The corrected sheets provide students with ongoing feedback on their learning progress.
In the practical course, students determine the movement data of a vehicle in driving tests on public roads using simple GPS trackers. If necessary, the vehicle's OBD data can also be read out and synchronized with the GPS data. Corresponding driving cycles are then derived from the measurement data and analyzed using Excel programs written in-house. Corresponding measurement drives can be carried out on service vehicles of the Fachhochschule Dortmund (vehicles with conventional drive trains, electric vehicles).

Teaching methods

Seminar courses, internships

Participation requirements

Formal: none

Content: Contents of the course Vehicle Dynamics / Powertrain are assumed

Forms of examination

The module concludes with a written exam.

Duration: 120 minutes

Allowed aids:

A non-programmable calculator

As an alternative to the written examination, an examination can also be offered as an oral examination or as a combination examination consisting of a term paper, presentation and oral examination.

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Babiel; G.: Elektrische Antriebe in der Fahrzeugtechnik, Vieweg + Teubner 2007
Kampker; A., Vallee; D., Schnettler, A.: Elektromobilität, Springer-Verlag 2013
Keichel; M., Schwedes; O.: Das Elektroauto, ATZ-Fachbuch, Springer-Verlag 2013
Stan; C.: Alternative Antriebe für Automobile, Springer-Verlag 2012

Ein Skript sowie umfangreiche weitere Unterlagen werden zu Beginn der Lehrveranstaltung in digitaler Form zur Verfügung gestellt.

Fahrassistenzsysteme / Verkehrsleitsysteme
WP

4 SWS

5 ECTS

Number
5724
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students know the fundamental problems of human-machine interaction in vehicle guidance and the resulting requirements for driver assistance systems.
They are familiar with the legal framework conditions for the use of driver assistance systems as well as the various driver assistance systems that have been implemented and are currently under development. Students have basic knowledge of sensors and actuators used in driver assistance systems and can map and optimize the control loops of different driver assistance systems.
Students can develop and optimize control loops for driver assistance systems based on specified requirements and configure the necessary hardware. Students know the key parameters of traffic flow control and are familiar with common traffic control systems. They know the possibilities and limits of vehicle-to-vehicle communication and can independently develop algorithms for traffic flow optimization.

Basics of driver assistance systems
Human-machine interaction in vehicle guidance
Driver behavior models
Legal framework for driver assistance systems
Sensor and actuator technology for driver assistance systems
Human-machine interface for driver assistance systems
Driver assistance at stabilization level
Driver assistance at guidance and navigation level
Perspectives of driver assistance systems
Vehicle-to-vehicle communication
Traffic guidance systems
Traffic flow optimization through traffic guidance systems
Integration of driver assistance systems into traffic flow optimization
Summary, evaluation and outlook for driver assistance and traffic guidance systems

The knowledge imparted is deepened and working and calculation techniques are practised. Exercise sheets are provided for the individual chapters, which are prepared by the students. The solutions to the exercise sheets are worked out collaboratively.
Another component of the seminar lecture are test sheets, which are handed out during the course and can be handed in within short deadlines. The corrected sheets provide students with ongoing feedback on their
Learning progress.

Teaching methods

Seminar event

Participation requirements

Formal: none
Content: Contents of the course Vehicle Dynamics / Powertrain are required. Fundamentals of control engineering are a prerequisite

Forms of examination

Written examination (written exam)
optionally also oral exams or combination exams

Requirements for the awarding of credit points

The module examination is graded and must be passed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 X 75%

Fahrzeugleichtbau
WP

4 SWS

5 ECTS

Number
5723
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

In this module, students are first taught general methods and models for the systematic implementation of lightweight construction goals in vehicle construction. Students will be familiar with different lightweight construction strategies and will be able to identify and implement lightweight construction potential on the entire vehicle and evaluate it technologically and economically. They are familiar with the main lightweight construction materials and are also able to optimize vehicle structures with regard to a lightweight construction goal.
The students have knowledge of the methods of lightweight construction as a cross-sectional science of design, production, materials technology, mechanics, FEM and experimental technology. They are proficient in the design of components made of fiber composites.

Lightweight construction methods
Materials and manufacturing processes in lightweight construction
Fiber composite materials (GFRP, CFRP), thin-walled profile bars
Calculation of the stress and deformation state in slab, plate and shell components, analytical and computer-aided dimensioning of box girders
Design of CFRP and GFRP components
Stability of bar profiles, sheet metal panels, tubes and box girders

Higher finite element method

Teaching methods

Seminar event

Participation requirements

Formal: none
Content: Higher mechanics; design methodology 1, CAD knowledge is required, basic knowledge of CAD-CAM is an advantage, but not mandatory

Forms of examination

Written examination (written exam)
optionally also oral exams or combination exams

Requirements for the awarding of credit points

The module examination is graded and must be passed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

5/60 X 75%

Literature

Dreyer, H.J.: Leichtbaustatik, Vieweg Teubner
Klein, B.: Leichtbaukonstruktion – Berechnungsgrundlagen und Gestaltung, Vieweg Teubner, 2009 Kossira, H.: Grundlagen des Leichtbaus, Springer, 1996
Fischer, W.: Vorlesungsumdruck (laufend aktualisiert)

Funktionale Sicherheit
WP

4 SWS

5 ECTS

Number
5726
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students know the basics of functional safety and the associated definitions from the standards. They acquire the competence to create and evaluate the required activities and work products of the respective phase in the safety life cycle. Students are able to initiate the concept phase using selected examples (or independently on defined projects), carry out a hazard and risk analysis and specify safety objectives. They can create a security concept and transfer this to the hardware and software level.

Definition of safety
Overview and vocabulary of the standards (ISO 26262, IEC 61508, ...)
Safety life cycle
Management of functional safety
Concept phase
Hazard and risk analysis
Functional safety concept
Product development at system level
System safety analyses
Technical safety concept
Security-oriented hardware and software development
Security verification & validation
Safety verification
Production & operation - decommissioning

Teaching methods

Seminar lecture

Participation requirements

Formal: none

Content: none

Forms of examination

The module concludes with a written examination.
Optional oral examinations or combination examinations are also possible. The type of examination will be announced in the first lecture.

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Börcsök, J.: Funktionale Sicherheit - Grundzüge sicherheitstechnischer Systeme, Hüthig Verlag
Gebhardt, Rieger, Mottok, Gießelbach: Funktionale Sicherheit nach ISO 26262, dpunkt.Verlag
Pabst, Petry: Funktionale Sicherheit in der Praxis, dpunkt.Verlag
Ross, Hans-Leo: Funktionale Sicherheit im Automobil, Hanser Verlag Löw

IoT & Edge Computing
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 architectures of real-time embedded systems
Knows key aspects of real-time networking
Has acquired overview of cloud computing and selected cloud platforms

Skills

Can implement, deploy and test simple IoT-systems
Can set-up and utilize a cloud system
Can analyze the E2E latency in distributed systems

Competence - attitude

Can design a simple IoT system for a given set of requirements
Can structure an IoT development project regarding function and time
Can propose and implement measures to reduce latency in a distributed system

Internet of things (IoT) is a fundamental building block for digitization and the upcoming information society. This course provides insights into key IoT-technologies including embedded systems, networks and cloud computing. For the selection of use cases and technologies the course focuses on the area of Edge Computing. Within this area students learn about latency analysis and optimization in distributed systems. Last not least, the course offers hands on experiences with IoT and Edge Computing technologies through focused team projects and homework assignments.

Course Structure

Introduction
Real-time Embedded Systems
Real-Time Networking
Cloud Computing
Edge Computing

Application Focus

Students conduct a project about Edge Sensor Fusion
Students work with Gabriel - Edge Computing Platform for Wearable Cognitive Assistance

Scientific Focus

During the module recent topics from the Open Edge Computing Initiative will be discussed and papers from relevant conferences will be reviewed.

Skills trained in this course: theoretical, practical and scientific skills and competences

Teaching methods

E-learning modules and lectures on IoT and Edge Computing
Small project with Eclipse IoT stack
Access to the Open Edge Computing Initiative and the Living Edge Labs

Participation requirements

none

Forms of examination

Assessment of the course: Oral Exam at the end of the course (50%) and individual programming task (50%): implementation of cloud based IoT system for a robot, demonstration of the result

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

none

Importance of the grade for the final grade

5,00%

Literature

Peter Marwedel. (2011). Embedded System Design, 2nd Edition. Springer.

Andrew S. Tanenbaum, David J. Wetherall. (2014). Computer Networks, 5th Edition. Pearson Education.

Thomas Erl, Zaigham Mahmood, Ricardo Puttini. (2013). Cloud Computing. Prentice Hall.

Mechatronic Systems Engineering
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

Knows CONSENS, INCOSE SE handbook, MechatronicUML
Knows mechatronic systems engineering processes
Knows Enterprise Architect and other relevant tools

Skills

Can model mechatronic systems
Can apply methodology and state of the art tools on real use cases (e.g. printing machine)
Can select tools and define tool chains and design flows

Competence - attitude

Can structure the early phase of mechatronic systems design
Can lead cross domain design of mechatronic systems
Understands issues from different domains and can integrate solutions into a holistic design

Mechatronics Systems Engineering is both a challenge and an opportunity. A holistic and well elaborated engineering process for complex mechatronic system/cyber physical systems is a mandatory requirement for developing future intelligent products. Teaching this new school of engineering is the major goal of the whole master program and an attractive offer for a university of applied sciences. This module introduces the holistic engineering methodology and offers the big picture for the other modules. The focus is on the early phase of mechatronic systems design since this phase offers the biggest leverage for better technical systems. Topics like cross domain engineering and systems integration are addressed, too. The content of the course is largely inspired from finding of the BMBF Spitzencluster "it's OWL" and the new Fraunhofer Institute "Entwurfstechnik Mechatronik". A continuous transfer of new findings into this course is intended.

Course Structure

Motivation:
1. Examples for Mechatronic Systems
2. Characteristics of Mechatronic Systems
3. Challenges
Discipline-spanning development process
Systems Engineering (according to INCOSE SE handbook)
Conceptual Design of Mechatronic Systems
1. CONSENS
The Software Engineering Domain
1. MechatronicUML
2. Behavior synthesis
Self-Optimization: Operator Controller Module (OCM)
Application to Use Case (Printing Industry, Rail Cab)

Case Studies

CS07: Rail Cab - modeling with CONSENS (Enterprise Architect)
CS07: Rail Cab - modeling with Mechatronic UML

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

Teaching methods

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

Participation requirements

MOD2-04 - Control Theory and Systems
MOD1-03 - Embedded Software Engineering

mechanics/physics, basics of embedded systems

Forms of examination

Written Exam at the end of the course (50%) and
individual homework (50%): MechatronicUML model of an example

Requirements for the awarding of credit points

passed exam and passed semester assignments

Applicability of the module (in other degree programs)

MOD-E04 - SW Architectures for Embedded and Mechatronic Systems
MOD-E06 - Formal Methods in Mechatronics
MOD-E07 - Model Based and Model Driven Design

Connects to:

MOD1-04 - Requirements Engineering
MOD2-03 - R&D Project Management

Importance of the grade for the final grade

5,00%

Literature

Jürgen Gausemeier, Franz Rammig, Wilhelm Schäfer (Editors): Self-optimizing Mechatronic Systems: Design the Future. HNI-Verlagsschriftenreihe, Band 223, 2008
P.L. Tarr, A.L. Wolf (eds.): Engineering of Software. Springer-Verlag Berlin Heidelberg 2011
K. Pohl, H. Hönninger, R. Achatz, M. Broy (Eds.): Model-Based Engineering of Embedded Systems: The SPES 2020 Methodology, Springer, 2012
INCOSE: Guide to the Systems Engineering Body of Knowledge - G2SEBoK: http://g2sebok.incose.org/app/mss/menu/index.cfm

Microelectronics & HW/SW Co-Design
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

Knows microelectronic components of embedded systems
Knows digital systems design methodology and processes
Knows tools and technologies for digital design
Knows concept of virtual prototype and its application in HW/SW codesign

Skills

Can compose an embedded system out of microelectronic components
Can describe digital systems with SystemC or VHDL
Can run a digital simulation
Can assess synthesis and verification reports for simple designs
Can run test and debug sessions with FPGAs

Competence - attitude

Can set up HW/SW codesign projects for embedded systems
Can choose and tailor the tool chain and methodology
Can present and demonstrate the design flow for a digital design project

Digital Systems are the main hardware platform for embedded systems and the target of embedded SW development. A good knowledge and overview of available HW platforms is required. Furthermore, a concurrent engineering process (HW/SW Codesign) is used to develop state of the art embedded systems. The coordination of (more agile) SW development and (more V-model) HW development is a challenge. Digital system development is applying complex tools and tool chains. The goal of this module is to enable to students to select, to assess, and to develop digital target platforms for embedded systems.

Course Structure

Microelectronic Components for Embedded Systems
1. DSP, Microcontroller
2. FPGA
3. ASIC, ASSP
4. Memories
5. Communication components (e.g. serial busses)
6. PCB and standard circuits
Digital systems design methodologies and processes
1. ESL concepts
2. SystemC
3. VHDL/Verilog
4. Simulation and validation
5. HW/SW partitioning
6. Verification and test
7. Synthesis (on FPGA)
Virtual prototypes and HW/SW co-verification
Tools and Tool Chains
New Trends: Multicore/Manycore, SoC, 3D, MEMS

Case Studies

CS01: AMALTHEA tool chain - Use of Virtual Prototypes
CS03: CoreVA - Implementation of IP blocks and testbenches in SystemC and VHDL
CS04: Avionics Computer & Robots - Design and implementation on FPGA

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

Teaching methods

Teaching and training methods

Lectures
Labs with: SystemC and VHDL simulation (Mentor), FPGA synthesis (Mentor or Synopsis) and FPGA implementation (Xilinx or Lattice). Access to tools and tool tutorials (Europractice tool chain)

Participation requirements

MOD1-03 - Embedded Software Engineering
electronics, basics of embedded systems

Forms of examination

Oral Exam at the end of the course (50%) and
group work as homework (50%): SystemC or VHDL implementation, mapping on FPGA, demonstration and presentation

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

MOD-E08 - SoC Design

Connects to:

MOD2-03 - R&D Project Management

Importance of the grade for the final grade

5,00%

Literature

Documentation of Europractice – Mentor Graphics Tools and Cadence Tools
Neil H.E. Weste, David Money Harris: “Integrated Circuit Design”, Pearson, 2011
Clive “Max” Maxfield (Editor): “FPGAs World Class Designs”, Newnes / Elsevier, 2009
Jack Ganssle (Editor): “Embedded Systems World Class Designs”, Newnes / Elsevier, 2008
Peter J. Ashenden: “Digital Design – An Embedded Systems Approach Using VHDL“, Morgan Kaufmann / Elsevier, 2008
Peter J. Ashenden: “The Designer’s Guide to VHDL 2nd Edition”, Morgan Kaufmann / Academic Press, 2002
Schaumont, Patrick: A Practical Introduction to Hardware/Software Codesign. Springer 2010
Bailey, Brian, Martin, Grant: ESL Models and their Application: Electronic System Level Design and Verification in Practice. Springer 2010

Robotic Vision
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 computer and robotic vision
Knows cameras, components, target systems
Has acquired overview of algorithms and methods

Skills

Can model signal processing path for computer vision and robot kinematics
Can apply methodology and state of the art tools for robotic vision systems
Can adapt and modify/parameterize relevant algorithms

Competence - attitude

Can structure a real robotic vision project
Can integrate cameras and vision modules into mechatronic systems
Can analyze mechatronic systems and derive requirements for computer vision

Course Description
Computer Vision is both a basic technology and an application domain for mechatronic and embedded systems. It is used in automotive systems, robotics and biomedical systems. This module focus on the use in mobile robots (e.g. autonomous driving, unmanned air vehicles) industrial robots and biomedical applications (e.g. surgical robotics), since Dortmund University of Applied Sciences and Arts has established many research activities in these domains. Research topics from research centers (biomedical technology, pimes) and other key areas of the university are defining the content of this module. The module introduces the basic algorithms and components for computer vision and robotic vision systems. In addition, students will learn about the application of that knowledge in the specific domain. The course will involve topics from a recent research project.

Course Structure

Introduction to Robotic Vision
2D and 3D Geometry
Camera Calibration
Feature Extraction
3D Vision
Paths and Trajectories
Robot Kinematics and Motion
Vision-based Robot Control
Robotic Vision Project

Teaching methods

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

Participation requirements

Requires:

MOD1-01 - Mathematics for Controls & Signals
MOD1-03 - Embedded Software Engineering
MOD2-04 - Signals & Control Systems 1

Forms of examination

Assessment of the course: Oral Exam (30 min) at the end of the course (50%) and group work as homework (50%): modeling and target mapping of an example with MATLAB/Simulink, demonstration and presentation

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

Connects to:

MOD-E01 - Applied Embedded Systems
MOD-E04 - Signals and Systems for Automated Driving
MOD-E10 - Automotive Systems

Importance of the grade for the final grade

5,00%

Literature

P. Corke: Robotic Vision, https://doi.org/10.1007/978-3-030-79175-9 , Springer, 2022
P. Corke: Robotics and Control, https://doi.org/10.1007/978-3-030-79179-7 , Springer, 2022
R. Szeliski: Computer Vision: Algorithms and Applications, https://doi.org/10.1007/978-3-030-34372-9, Springer, 2022
E. Gopi: Digital Signal Processing for Medical Imaging Using Matlab, Springer, 2013

Robotik (Montage- und Handhabungstechnik)
WP

4 SWS

5 ECTS

Number
5713
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students are familiar with the field of application and the requirements of handling technology with industrial robots and flexible conveyor systems. They are proficient in robot programming using the V+ programming language and the ACE development environment. Students are able to independently develop system solutions for complex handling tasks. They are familiar with the requirements of Industry 4.0 and have basic experience of the design, operation and networked programming of a handling system.

Using the example of a system environment consisting of a workpiece transport system, a flexible AnyFeeder feeder and several robot systems, students will be able to implement different tasks. They are able to independently solve complex assembly requirements in the interaction of robots and image processing for process control. To optimize the process, they can optimize the motion sequences and process times and document the system solutions and programs in accordance with standards.

Definition of robots and robot systems
Applications and operating conditions
Types of robots, kinematic structures and drive systems
Coordinate systems and coordinate transformations
Robot control and regulation
Actuators, sensors and measurement technology
Programming and simulation of robots
Safety aspects when using robots

Teaching methods

Seminar lecture with accompanying exercise

Participation requirements

Formal: none

Content: none

Forms of examination

Written exam paper as module examination

Duration: 90 minutes

Assistance permitted: none

Requirements for the awarding of credit points

The module examination is graded and must be passed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Adept, V+ User Manual; Adept Sigt User Guide, 2019
Hesse, S.: Taschenbuch Robotik - Montage - Handhabung; Hanser, 2010
Maier, H.: Grundlagen der Robotik; VDE-Verlag, 2022
Mareczek, J.: Grundlagen der Roboter-Manipulatoren, Band 1 & 2. Springer, 2020
Weber, W.: Industrieroboter, Methoden der Steuerung und Regelung; Fachbuchverlag Leipzig, 2019
VDI R. 2860: Montage- und Handhabungstechnik. Handhabungsfunktionen, Handhabungseinrichtungen, Begriffe, Definitionen, Symbole; Beuth, 05/1990

Ruhr Master School
WP

4 SWS

5 ECTS

Number
5770
Duration (semester)
1

Ruhr Master School
WP

4 SWS

5 ECTS

Number
5771
Duration (semester)
1

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

Schaltungsanalyse und -synthese
WP

4 SWS

5 ECTS

Number
5725
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Independently carry out circuit analysis and explain how circuits work. Operating circuit simulation programs and carrying out simulations. Developing strategies for circuit synthesis.

Fundamental methods of circuit analysis and synthesis,
Introduction to the operation of circuit analysis programs (PSpice, MicroCap) and layout design (Eagle) using examples,
Worst-case calculation, transient analysis, AC sweep, DC sweep, temperature drift
Hardware design, prototyping, test strategy

Teaching methods

The seminar-style lecture conveys the theoretical content. The contents of the lectures are deepened in an application-oriented manner in the practical laboratory course.

Participation requirements

Formal: none

Content: Basics of electrical engineering are required

Forms of examination

The module concludes with a term paper and an oral examination

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Böhmer, E.: Elemente der angewandten Elektronik
Santen, M.: Das Design-Center
Tietze, Schenk: Halbleiterschaltungstechnik

Sensorik
WP

4 SWS

5 ECTS

Number
5727
Language(s)
de
Duration (semester)
1

Signals and Control Systems 1
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

Knows relevant theoretical foundations of signal processing and control theory
Knows mathematical background of linear feedback controllers
Is aware of critical limitations of discrete time signals and the impact of sampling
Knows basic analog and digital filters

Skills

Can analyze systems and signals
Can model linear feedback controllers for mechatronic systems
Can apply and design digital filters

Competence - attitude

Can discuss control system design for mechatronic systems with experts
Can lead cross domain design of control systems
Understands control system experts and translates between different domains

Control theory is one major part of the description of the dynamic behavior of mechatronic systems. Control systems are the connection between the mechanical/physical world and the control task performed by the embedded system. The goal of this module is to enable students to interact with control system experts and to integrate their results into embedded and mechatronic systems. Cross Domain Engineering requires a deeper understanding of control tasks and the underlying principles of control theory, especially for digital control systems. A holistic view on control system topics is taught. The curriculum limited to linear systems and the course structure follows the book Modern Control Systems by Bishop/Dorf. An additional goal is to teach the use and the development of advanced tools for control system design.

Course Structure

State Variable Models
State Feedback Control Systems
Robust Control Systems
Digital Control Systems
Applications of the above
Control Engineering with Matlab/Simulink

Case Studies

CS04: Avionics Computer & Robots - Control Algorithms
CS04: Avionics Computer & Robots - MATLAB/Simulink implementation for Arm Type Robots

Skills trained in this course: theoretical and methodological skills

Teaching methods

Lectures & Exercises, Matlab/Simulink labs
e-learning modules on mathematics and control theory, tool tutorials

Participation requirements

higher mathematics

Forms of examination

Written Exam at the end of the course

Applicability of the module (in other degree programs)

MOD-E05 - Computer Vision
MOD-E011 - Signals & Control Systems 2

Importance of the grade for the final grade

5,00%

Literature

P. Corke: Robotics, Vision and Control, Springer, 2013
R. Bishop, R. Dorf: Modern Control Systems, Pearson Education, 2010

Signals and Systems for Automated Driving
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

Knows common driver assistance components and architectures
Knows basic signal processing algorithms for radars
Knows state estimation algorithms
Knows basics of related system engineering

Skills

Can develop tracking algorithms
Can develop radar signal processing algorithms
Can analyze requirements for subsystems of automated driving

Competence - attitude

Understands the challenges in the development of automated driving and can discuss with experts from different domains
Can lead development of subsystems for automated driving
Can lead system level tests for automated driving

Automated driving requires the use of a multitude of sensors, controllers and actuators installed on the vehicle. Additionally, vehicle to vehicle and vehicle to infrastructure communication will be necessary. This course gives an overview about technologies used for automated driving. It starts with an overview about current R&D trends and then covers several sensor technologies with a special focus upon radar. Students will learn basic principles of stochastic signal processing and its application to tracking and mapping. Motion models and vehicle control technologies will be discussed to gain further insight into requirements for sensors and algorithms. Additional focus of this course is on architectures and infrastructures for automated driving. This includes bus interfaces and SW architectures as well as the basic principles of systems engineering. ISO 26262 as well as legal frameworks and their application to automated driving will be discussed. In addition to the lecture, exercises and small projects give additional insight into the technologies and concepts introduced in this course.

Course Structure

Technology overview
Sensors
1. Radar
2. Lidar
3. Ultrasonic
4. Camera
Radar signal processing
1. Detection
2. Target estimation
State estimation
1. Vehicle motion models
2. Random processes
3. Tracking
4. Target classification
5. Mapping
Actuators & Vehicle Control
1. Bicycle model
2. Longitudinal control
3. Brake and steering systems
Architectures
1. Bus interfaces
2. Car-to-X
3. Safety domain controllers
4. AUTOSAR
System engineering
1. Quality process standards
2. Process models
3. Requirement engineering
4. SPICE
ISO 26262
1. Basics
2. Concept phase
3. Product development
Legal frameworks
1. Vienna convention
2. Relevant norms and legislation

Case studies

CS08: Radar Systems for Automated Driving

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

Teaching methods

Lectures, Labs (with Matlab/Simulink)
Access to tools and tool tutorials
Access to recent research papers
Company visit

Participation requirements

higher mathematics, programming, signal processing

Forms of examination

Assessment of the course: Oral Exam at the end of the course (50%) and group work as homework (50%)

Requirements for the awarding of credit points

MOD1-01 - Mathematics for Controls & Signals

Applicability of the module (in other degree programs)

Connects to:

MOD1-04 - Requirements Engineering
MOD2-01 - Mechatronic Systems Engineering (MOD2-01)
MOD-E03 - Automotive Systems
MOD-E05 - Computer Vision

Importance of the grade for the final grade

5,00%

Literature

Winner et al., Handbook of Driver Assistance Systems, Springer reference, 2016
Pebbles, Radar Principles, John Wiley & Sons, 1998
Bar-Shalom et al., Estimation with Applications to Tracking and Navigation, John Wiley & Sons, 2001
Maurer et al., Autmotive Systems Engineering, Springer 2013

Software Engineering Project
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge: Upon successful completion of this module, students will acquire the ability to:

1. design complex distributed software systems:

Develop sophisticated software systems tailored to specified requirements, leveraging widely recognized design frameworks such as UML (Unified Modeling Language), SoaML (Service-oriented Architecture Modeling Language), or SysML (Systems Modeling Language)
Demonstrate an understanding of the intricacies involved in creating scalable and maintainable system architectures

2. apply advanced architectural styles:

Evaluate and apply appropriate architectural patterns, such as Microservices or Moduliths, to develop robust software solutions
Tailor the architectural approach to address the specific needs and constraints of a given use case or application domain

3. develop deployment strategies for cloud-based environments:

Create and implement scalable deployment strategies for distributed software systems, ensuring high availability and fault tolerance
Utilize cloud platforms and container orchestration tools, such as Kubernetes, AWS, or Microsoft Azure, to deploy and manage applications efficiently in diverse operating environments

4. design and implement comprehensive testing strategies:

Create and implement scalable deployment strategies for distributed software systems, ensuring high availability and fault tolerance
Utilize cloud platforms and container orchestration tools, such as Kubernetes, AWS, or Microsoft Azure, to deploy and manage applications efficiently in diverse operating environments

The primary aim of this course is to provide students with both a solid theoretical foundation and practical experience in software engineering for Microservice Architecture. Throughout the course, students work collaboratively in teams on use cases from real work examples or research project. This practical engagement bridges the gap between academic concepts and professional application.
The course places significant emphasis on the principles of software architecture and engineering, which form the foundation for designing and implementing robust and efficient software systems. Students explore key concepts, best practices, and design patterns in software development to equip them with the skills necessary for creating scalable and maintainable software system.
To ensure adaptability and dynamic project execution, the course integrates Agile methodologies. Students adopt frameworks such as Scrum to manage their projects, fostering teamwork and promoting iterative development. By applying these methodologies, students experience the flexibility and collaborative advantages of agile workflows, which are widely used in the software industry.
The course also requires students to undertake the complete software development lifecycle, beginning with requirements engineering to capture and analyze user needs. Students then proceed through system design, coding, testing, deployment, and maintenance, gaining a holistic understanding of the entire process. This comprehensive approach ensures that students are prepared to tackle all phases of software development, from initial concept to final deployment.
By the end of the course, students will have developed the skills to design, build, and manage software systems in a team-oriented, real-world setting. They will have a deep understanding of software engineering principles, practical experience with Agile methodologies, and familiarity with industry-standard tools and processes. This course ultimately aims to prepare students to meet the demands of the modern software industry and contribute effectively to complex development projects.

Course Structure

Introduction Microservice Architecture
Introduction use case for the software system to develop
Agile Methodologies in Software Development
Requirements engineering
Designing of the software system
Implementation of the software system
Deployment of the software system
Testing of the software system

The course is training software engineering skills by applying the following competences (from pre- vious modules) within a realistic project (e.g. industry case):

Object oriented modeling and design
Architecture design (patterns, frameworks, libraries)
Software testing
Tools
Version control systems (Git, SVN, Mercurial SCM)
Code management
Ticket systems and bug tracker
(Continuous) integration and release management
Documentation
Processes
Classical software development
Agile software development (Scrum)
Requirements engineering
Project management, project planning, quality management

Teaching methods

Interactive lectures: Traditional lecture format enhanced with real-time discussion and interactive elements. If applicable, industry professionals, deliver guest lectures with additional industry insights
Groupwork: Collaborative projects where students design and implement a software system for a given use case
Hands-on workshops: Practical sessions where students apply tools, methods and techniques introduced in class
Self-Directed Learning and Research: Students explore specific areas of interest related to Microservice Architecture or service-based software systems through independent study and research
Peer Reviews and Critique: Students provide constructive feedback on each other's work during project development and pitch presentations

Participation requirements

MOD1-01 Innovation Driven Software Engineering
MOD1-02 Software Architectures
MOD1-04 R&D Project Management
MOD2-02 Software-intensive Solutions

Forms of examination

Assessment of the course: Practical Skills (50%): realizing a real-world project within the User Innova- tion Center during a block week and Theoretical knowledge (50%): Written or Oral Exam at the end of the course

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

none

Importance of the grade for the final grade

5,00%

Literature

Newman, Sam. (2021). Building microservices. O'Reilly Media, Inc.

Richardson, Chris. (2018). Microservices patterns: with examples in Java. Simon and Schuster.

Richards, Mark. (2015). Microservices vs. service-oriented architecture. Sebastopol: O'Reilly Media.

Pautasso, Cesare, et al. (2017). "Microservices in practice, part 1: Reality check and service design." IEEE software 34.01, 91-98.

Pautasso, Cesare, et al. (2017). "Microservices in practice, part 2: Service integration and sustainability." IEEE Software 34.02, 97-104.

Dragoni, Nicola, et al. (2017). "Microservices: yesterday, today, and tomorrow." Present and ulterior software engineering, 195-216.

Alshuqayran, Nuha, Nour Ali, and Roger Evans. (2016). "A systematic mapping study in microservice architecture."

IEEE 9th international conference on service-oriented computing and applications (SOCA). IEEE. (2016).

Software-intensive Solutions
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge and understanding: Upon completion of this module, students will be able to

differentiate basic principles of software design,
differentiate and categorize relevant tools and methods for domain-driven design,
name and classify current research approaches to modeling software architectures.

Use, application and generation of knowledge: Upon completion of this module, students will be able to

analyze a complex domain and break it down into subdomains,
implement a complex software design task within the context of a project over several weeks,
select and apply adequate principles of software design to concrete application scenarios,
differentiate, analyze, and apply key patterns at the macro- and micro-architecture level,
select, combine and implement suitable methods for domain-driven design.

Communication and cooperation: Upon completion of this module, students will be able to

develop and implement solutions cooperatively in a team,
select and apply appropriate methods for the interdisciplinary development of solutions, in particular together with domain experts without technical background,
present, explain and discuss their ideas and solutions using different formats such as group presentations, code reviews, lightning talks or pitches, particularly in front of an expert audience (e.g. guests/partners from the industry or from research projects).

Scientific self-image / professionalism: Upon completion of this module, students will be able to

select and apply industrial and scientific best practices for software design,
reflect and evaluate feedback, particulary from non-technical domain experts, and to autonomously implement the feedback they receive to improve their solution designs.

Course Description:
In this module, students deepen their competencies in designing software architectures of complex systems. Students learn how to design a scalable, robust and maintainable software architecture in a domain-driven manner by selecting and applying suitable principles, patterns and methods. The analysis and discussion of such software architectures is based on practical examples and concrete solutions from research projects.

Course Structure:
The module covers the following topics:

Short repetition of the Bachelor material on software design (e.g. design patterns according to Gamma et al., Separation of Concerns, layered architecture)
In-depth aspects of software design:
1. Principles (e.g. loose coupling - high cohesion, SOLID)
2. Architecture patterns (e.g. ports and adapters, CQRS)
3. Methods (e.g. domain-driven design, T&M approach)
Characteristics and patterns of modern architectural styles (e.g. modular architectures, event-based architectures, microservice architectures)
Model-driven design, development and reconstruction of software architectures

Teaching methods

Flipped/inverted classroom:
- Online e-learning materials with interactive slides and videos (asynchronous self-study)
- Interactive classroom sessions (on-premise) for tasks and exercises based on examples from practice and research (e.g. coding, group exercises, lightning talks), for additional in-depth content, and for answering and discussing questions
Lab project: Project task which is worked on in teams over the entire semester
Guest lectures featuring experts and recent topics from research and industry

Participation requirements

MOD1-02 Software Architectures
MOD1-03 Digital Systems 1

Forms of examination

Written exam (60%, 60-90 minutes) or oral exam (60%, 20-25 minutes); lab project (project-based work, 40%)

Requirements for the awarding of credit points

Passed written or oral exam (according to current exam schedule); passed lab project

Applicability of the module (in other degree programs)

MOD-E01 Software Engineering Project

Importance of the grade for the final grade

5,00%

Literature

Vernon, Vernon (2016): Domain-Driven Design Distilled, Addison-Wesley
Evans, Eric (2003): Domain-Driven Design: Tackling Complexity in the Heart of Software, Addison-Wesley
Richardson, Chris (2018): Microservice Patterns: With examples in Java, Manning
Martin, Robert C. (2017): Clean Architecture: A Craftsman's Guide to Software Structure and Design, Pearson
Lilienthal, Carola (2019): Sustainable Software Architecture: Analyze and Reduce Technical Debt; dpunkt.verlag
Bass, Len; Clements, Paul; Kazman, Rick (2021): Software Architecture in Practice, SEI Series in Software Engineering, Fourth Edition, Addison-Wesley Professional
Gamma, Erich; Helm, Richard; Johnson, Ralph; Vlissides, John (1994): Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley
Combemale, Benoit; France, Robert; Jézéquel, Jean-Marc; Rumpe, Bernhard; Steel, James; Vojtisek, Didier (2016): Engineering Modeling Languages. CRC Press
Rademacher, Florian (2022). A language ecosystem for modeling microservice architecture, Phd Thesis, https://dx.doi.org/doi:10.17170/kobra-202209306919

Spanende Fertigungstechnik
WP

4 SWS

5 ECTS

Number
5711
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students know the basics of machining production processes for the manufacture of technical products. They acquire the competence to assess products with regard to their machinability and to design and evaluate processes and procedures from a technological and Business Studies perspective. On the basis of practice-oriented product examples, students develop the process chain for flexible and requirement-oriented machining production in a seminar-based course.

Basics of chip formation
- Chip formation models
- Mechanical and thermal parameters
- Correlations between materials and chip formation
Cutting with geometrically defined cutting edge
- Processes and their variants (turning, drilling, milling)
- Tools (cutting materials, coatings)
- Machine tools
Cutting tools with geometrically indeterminate cutting edge
- Processes and their variants (grinding, honing, finishing)
- Tool design (cutting materials, binders)
- Machine tools
Special areas of machining production technology
- Micromachining
- Gear manufacturing
- Combination machining
Cutting production systems
- Presentation of machining production process chains
- Interaction of individual process steps
- Analysis and evaluation of machining production processes (process capability, OEE,...)

Teaching methods

The seminar-style lecture conveys the theoretical content. The contents of the lecture are deepened in an application-oriented manner in the production engineering laboratory through laboratory practicals and demonstrations. Excursions and lectures by guest speakers from industry are organized to deepen the lecture content.

Participation requirements

Formal: none

Content: none

Forms of examination

Semester-accompanying exercises in group work as partial examinations (50%) and individual
Final presentation (50%).

Requirements for the awarding of credit points

Parts of the module examination (partial performances) must be passed with at least sufficient (4.0) overall. be passed.

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Übung: Verfahrens- und Arbeitsanweisungen im Downloadbereich des Lehrenden.
Vorlesung: Skript im Downloadbereich des LehrendenWeck, M.; Brecher, C.: Werkzeugmaschinen: Maschinenarten und Anwendungsbereiche. 6. Auflage, Springer Verlag, Berlin/Heidelberg, 2009
Conrad, K.-J.: Taschenbuch der Werkzeugmaschinen. 2. Auflage, Carl-Hanser-Verlag, München/Wien, 2006
Denkena, B.; Tönshoff, H.K.: Spanen – Grundlagen. 2. Auflage. Springer Verlag, Berlin/ Heidelberg, 2003
König, W.; Klocke, F.: Fertigungsverfahren Band 1: Drehen, Fräsen, Bohren. 8. Auflage, Springer Verlag, Berlin/Heidelberg, 2008
König, W.; Klocke, F.: Fertigungsverfahren Band 2: Schleifen, Honen, Läppen. 4. Auflage, Springer Verlag, Berlin/Heidelberg, 2008
N.N.: DIN 8589ff. Fertigungsverfahren Spanen. Beuth Verlag, Berlin, 2003

Strukturmechanik (FEM)
WP

4 SWS

5 ECTS

Number
5701
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90

Learning outcomes/competences

The students...

have expanded and supplemented their basic understanding of mechanics.

In-depth treatment of mechanics in the areas of strength of materials and
Dynamics (stress states, tent and fatigue strength, free and excited vibrations)
Theoretical treatment of the finite element method in mechanics Calculation of individual components and assemblies Design improvement and optimization
Calculations with regard to material behavior (elastic, plastic)

Teaching methods

Seminar-based lecture and laboratory practicals.

The lectures convey the theoretical content. Practical problems are dealt with promptly in seminar lectures and laboratory practicals on the basis of typical tasks.

Participation requirements

Formal: none

Content: none

Forms of examination

Written exam paper as module examination

Duration: 120 minutes

Assistance permitted: none

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Bathe, K.-J.: Finite-Element-Methoden
Gebhardt, Ch.: FEM mit ANSYS Workbench
Vorlesungsumdruck

Strömungssimulation
WP

4 SWS

5 ECTS

Number
5702
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students are familiar with the Navier-Stokes equations and the role of the finite volume method in their computer-aided solution. They are also familiar with the main features of turbulent and transitional flows and their consequences for theory. Students are also familiar with the various computer-aided approaches for modeling turbulent and transitional flows and can use these models in an industrial context. A further learning outcome is the independent application of a CFD software suite including the generation of computational meshes in order to answer a technical question. Students are able to design the computational meshes in such a way that both relevant areas of the computational domain are provided with a high mesh element density and mesh-independent results are produced. Furthermore, the basic paradigms of parallelization are known and the computational efficiency of a simulation can be assessed. The learning outcomes also include recognizing the potential for simplification, e.g. the symmetry property of a problem, in order to optimize the computational domain including the software settings.

Analytical and numerical solution of the Navier-Stokes equation
Process chain of a flow simulation
Post-processing
Solver
Mesh creation and mesh study
Choice of the billing area
Basics of transition and turbulence
Transition and turbulence modeling (RANS)
Instationary calculations
Parallelization of invoices

Teaching methods

Seminar-style lecture: Under the guidance of the lecturer, materials (sources and literature) are evaluated together, including the development of results based on specific questions. Students prepare and follow up the respective lecture content independently.

Participation requirements

Formal: none

Content: Knowledge of fluid mechanics and thermo-fluid dynamics

Forms of examination

The module examination consists of a written exam in which students should recall and remember basic knowledge of computational fluid mechanics. In addition, they should be able to transfer this knowledge to practical problems.

Duration: 90 minutes

Assistance permitted: none

An oral examination can be offered if no more than ten students have registered for the examination.

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Marciniak, V.: Unterlagen zur Vorlesung; FH Dortmund; aktuelle Version in ILIAS
Schwarze, Rüdiger: CFD-Modellierung: Grundlagen und Anwendungen bei Strömungsprozessen; Springer Vieweg
Versteeg, H.K.; Malalasekera W.: An Introduction to Computational Fluid Dynamics-The Finite Volume Method; 2. Auflage; Pearson

Ur- und Umformtechnik
WP

4 SWS

5 ECTS

Number
5710
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students know the basics of primary and forming technology manufacturing processes for the production of metallic or plastic products. They acquire the competence to assess products (piece goods) with regard to their primary and forming manufacturability and to design them and to evaluate processes and procedures from a technological and Business Studies perspective. The use of modern analysis methods enables students to independently determine quality-determining influencing variables of forming processes.

Order forming process
- Basics of metallurgy
- Semi-finished product and steel production
- Additive processes
Basics of forming technology
- Basics
- Theory of plasticity
- Determination of characteristic values
- Tribology
Forming technology Sheet metal forming[SA1]
- Procedural properties/special features
- Method planning/selection
- Tool and plant technology
Forming technology Solid forming[SA2]
- Cold/hot forming
- Stage plans and component design
- Toolmaking and machine technology
Simulation in forming technology
- Introduction to FEM
- FE analyses of forming technology issues

Teaching methods

The seminar-style lecture conveys the theoretical content. Typical development tasks will be instructed in a timely manner. Excursions and lectures by guest speakers from industry are held to deepen the seminar-style lecture.

Participation requirements

Formal: none

Content: none

Forms of examination

Semester-accompanying project work as partial examination (15%) and written examination (duration 90 minutes) as module examination (85%); optionally also term papers and oral examinations or combination examinations

Requirements for the awarding of credit points

The module examination is graded and must be passed with at least sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Vorlesung: Skript im Downloadbereich des Lehrenden
Übung: Verfahrens- und Arbeitsanweisungen im Downloadbereich des Lehrenden.

Bauser et al.: Strangpressen, Aluminium Fachbuchreihe, Aluminium Verlag, 2001
Doege, E., Behrens, B.-A.: Handbuch Umformtechnik, Springer-Verlag, 2010
Hill, R.: The Mathematical Theory Of Plasticity (Oxford Classic Texts In The Physical Sciences), Clarendon Press, Oxford, 1948
Kopp, R., Wiegels H.: Einführung in die Umformtechnik. Verl . Mainz, Aachen, UB Dortmund Sig . L Tn 20/2.
König, W.: Fertigungsverfahren. Band 5: Blechumformung. VDI Verlag , 1986
Lange, K.: Umformtechnik Grundlagen, Springer Verlag, 2002, (Auflage 1983 UB Dortmund Sig. T 11561 1)
Lange, K.: Umformtechnik – Band 3: Blechumformung. Springer-Verlag, Berlin, 1990
Ostermann, F.: Anwendungstechnologie Aluminium, Springer Verlag, 2007

Usability Engineering
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge: Upon completion of this module, students will be able to:

Know relevant theoretical foundations of usability engineering
Explain and compare established usability engineering tools and methods (AB-Tests, GOMS, Interviews, Usability-Lab Tests, Remote-Tests, etc.)
Understand perception of and interaction with standard WIMP based user interfaces. the applicability of those tools and methods in a given project situation
communicate concepts for different target groups (professional peers, user groups, management, etc.)

Skills: Upon completion of this module, students will be able to:

Observe, recognize and evaluate user behavior and behavioral patterns (e.g. analyzing video protocols from user tests)
Analyze context of use by empirical methods like field study or derive it from statistical usage data
Derive requirements from the established context of use
Create a prototype for a given set of requirements selecting and using an appropriate method (e.g. paper prototype, design prototype, interactive prototype)
Evaluate a given prototype or (software) system selecting and using an appropriate method (e.g. cognitive walkthrough, heuristic evaluation, AB-test, informal methods, lab test)
Adapt and improve those methods and tools for new application areas and interaction paradigms

Competence - attitude: Upon completion of this module, students will develop the ability and attitude to :

Guide a team through all steps of user centered development
Create all necessary artifacts in a user centered design process
Provide a self-reliant evaluation of the recent status of research in a (small) given area
Develop communication concepts for new/adapted target groups
Relate and evaluate the methods and tools into the recent scientific publications
Critically reflect behavior (own and well as others) in general, as well as in a given situation

This module is focusing on the essential methods and tools to evaluate and measure the effectiveness, efficiency and the joy of use with which a user and perform a task with a given system. The reoccurring scheme throughout the course is the User Centered Design Process (ISO 9241-210). The students will learn how to observe and specify a context of use, derive requirements from it, create a prototype and evaluate it. For all those parts of the process specific tools and methods will be introduced. Students will learn about usability engineering from a theoretical viewpoint, by studying state-of-the-art research publications, as well as from a practical point of view, by project examples and case studies. These methods and tools will be applied as well as critically evaluated and checked for potential of improvement.

Course Structure

1. introduction

Motivation
Definition of usability engineering

2. processes

Usability engineering processes
Integration into IT projects
Potential conflicts
Communicating Usability

3. usability engineering tools and methods

Analyzing context of use
Requirements management
Concepts
Evaluation

4. additional topics:
Coordinated with the student's interests one to three of the following topics will be chosen. The list will be adapted to take changes in the state of the art into account.

Mobile Computing
Individual software solutions
Consumer vs. business software
Industrial solutions

Teaching methods

E-learning modules and (live-)video lectures on usability engineering foundations
Project work (e.g. as part of a block week) to learn practical skills and apply selected tools and methods
Guest lectures with experts and trending topics (e.g. mini-lectures) as part of a block week
Literature work and conducting (pre-)studies to improve scientific competences on usability engineering

Participation requirements

Innovation Driven Software Engineering (MOD1-01)
R&D Project Management (MOD1-04)
Scientific & Transversal Skills 1 (MOD1-05)

Forms of examination

Assessment of the course: Theoretical knowledge (20%): Oral exam at the end of the course, Practical Skills (40%): realizing a small real-world project using usability engineering tools and methods during a block week and Scientific Competences (20%): written paper (literature review or original content, approx. 10 pages) and presentation

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

Research Project Thesis (MOD3-03)

Importance of the grade for the final grade

5,00%

Literature

Jakob Nielsen. (1994). Usability Engineering. Elsevier.

Don Norman. (2013). The design of everyday things. Basic Books.

Jon Yablonski. (2024). Laws of UX: Using Psychology to Design Better Products & Services. O’Reilly.

Carol M. Barum. (2010). Usability Testing Essentials. Elsevier.

Jeffrey Rubin and Dana Chisnell. (2008). Handbook of Usability Testing: Howto Plan, Design, and Conduct Effective Tests. Wiley.

Christian Fuchs. (2022). UX User Experience Management - Application of a Usability Engineering Lifecycle: Concepts and methods for the engineering production of user-friendliness or usability. Independently published.

Muhammad Saeed, Sami Ullah. (2016). Usability Engineering: Evaluating usability. LAP LAMBERT Academic Publishing.

David Platt. (2016). The Joy of UX: User Experience and Interactive Design for Developers. Addison-Wesley Professional.

Yvonne Rogers, Helen Sharp, Jennifer Preece. (2023). Interaction Design: Beyond Human-Computer Interaction. Wiley.

Regine M. Gilbert. (2019). Inclusive Design for a Digital World: Designing with Accessibility in Mind. Apress.

Conference proceedings by ACM SIGCHI (e.g. CHI, TEI, IUI, …)

Book Series, Human -Computer Interaction Series, Springer (e.g. Human Work Interaction Design 2021)

Verbrennungsmotoren
WP

4 SWS

5 ECTS

Number
5721
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students are able to...

comprehensively familiarize themselves independently with complex topics in vehicle drive technology.
carry out necessary simulations, hardware developments or experimental investigations.

Selected topics for:

Vehicle drive components (e.g. electric motors, combustion engines, hybrid drives, fuel cells)

Energy storage technologies (e.g. batteries, hydrogen)

Life cycle analyses and sustainability assessments of drive systems

Systematic analysis and optimization of vehicle drives with regard to specific issues (e.g. efficiency, performance requirements, environmental compatibility)

Methods of simulation, hardware development and experimental analysis

Independent project work on the application of theoretical knowledge

Presentation techniques and professional discussion of scientific content

Teaching methods

Seminaristic event:

Independent development of the topics by students
Project work in groups with simulations and/or experimental investigations
Presentation and discussion of the content developed

Participation requirements

Formal: none

Content: Knowledge of mechanics, construction elements, thermodynamics and the basics of electrical engineering is recommended.

Forms of examination

The module concludes with two partial examinations. These include:

1) written exam
Duration: 45 minutes

2) Final oral presentation with overall presentation of the work results

Requirements for the awarding of credit points

The module examination is graded and must be passed with a minimum grade of sufficient (4.0).

Applicability of the module (in other degree programs)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Basshuysen, R. van, Schäfer, F. (Hrsg.): Handbuch Verbrennungsmotor, Grundlagen, Komponenten, Systeme, Perspektiven. 5. Auflage 2010, Vieweg+Teubner
Heywood, J. B.: Internal Combustion Engine Fundamentals; Motortechnische Zeitschrift (MTZ)
Köhler, E, Flierl, R.: Verbrennungsmotoren - Motormechanik, Berechnung und Auslegung des Hubkolbenmotors, 5. Auflage Vieweg+Teubner
Pischinger, S.: Umdruck Verbrennungsmotoren Bd. I+II, Lehrstuhl f. Verbrennungsmotoren der RWTH Aachen; Kuẗtner: Kolbenmaschinen – Kolbenpumpen, Kolbenverdichter, Brennkraftmaschinen, 7. Auflage, Verlag Vieweg+Teubner

Weiterführende Literatur wird zu Beginn der LV bekannt gegeben

3. Semester of study

Masterprüfung
PF

0 SWS

30 ECTS

Number
101
Language(s)
en, de
Duration (semester)
1
Contact time
-
Self-study
900 h

Learning outcomes/competences

The Master's thesis shows that students are able to work independently on an engineering task corresponding to the subject area of the Master's degree program according to scientific criteria within a given time frame of 5 months and to present the results systematically structured and comprehensible in a written work.
In particular, the student demonstrates the ability to acquire new knowledge quickly, methodically and systematically on his/her own.
The student can present and explain the results of their work in an oral presentation and examination.

Master's thesis:
The Master's thesis consists of the independent completion of an engineering task from the subject areas of the Master's degree course in Mechanical Engineering, which can be completed under the supervision of a professor involved in the Master's degree course both in research facilities at the university and in industry. The thesis must be submitted in written form to present the scientific methods and results used.

Colloquium:
A colloquium in the form of an oral examination takes place at the end of the course. The colloquium serves to determine whether the candidate is able to orally present, justify and assess the results of the thesis, its technical and methodological foundations, its cross-module connections and its extracurricular references.

Teaching methods

Independent, practice-oriented project work. Supervision is provided by a professor and, in the case of industrial work, in cooperation with the project manager in the company.

Participation requirements

Formal: Admission to the Master's thesis may be granted if one examination in each
passed a compulsory module and an elective module.
Content: none

Forms of examination

Thesis as a written thesis of 80 to 120 A4 pages with a completion time of five months.
The colloquium is an oral examination lasting a minimum of 30 minutes and a maximum of 45 minutes and is jointly conducted and assessed by the examiners of the Master's thesis. For the conduct of the colloquium, the provisions of the examination regulations applicable to oral module examinations shall apply accordingly.

Requirements for the awarding of credit points

The examination is assessed by two examiners in the form of written reports and must be completed with a minimum grade of sufficient (4.0). The overall grade is calculated from the average of the two examiners' assessments.

Only who can be admitted to the colloquium.

has provided proof of enrolment in the Master's in Mechanical Engineering study program
has earned a total of 60 ECTS in the degree program,
has earned 27 ECTS in the Master's thesis.

By passing the colloquium, 3 ECTS are acquired.

Applicability of the module (in other degree programs)

none

Importance of the grade for the final grade

Thesis: 20 %
Colloquium: 5%

Literature

Richtet sich nach dem Thema der Master-Thesis und ist vom Studierenden zu ermitteln.

Study plan

Dynamische Systeme

Masterprojekt

Masterprüfung

Fahrzeugdynamik / Antriebsstrang

Numerische Methoden und Stochastik

Höhere Mathematik

Thermo- und Fluiddynamik

Mechanik

Compulsory elective modules (30)

Compulsory elective modules (12)

Compulsory elective modules 1. Semester

Automatisierung und Sensorik

Cyber Security B

Dezentrale Energiesysteme

Energie- und Umwelttechnik

Energieübertragungstechnik

Hardware/Software Kodesign

Höhere technische Akustik

IT-Sicherheit und Datenmanagement

Intelligente Antriebssysteme

Lean Production

Mixed-Signal CMOS Design

Produktentwicklung und CAE

Compulsory elective modules 2. Semester

Advanced Meshing

Angewandte Künstliche Intelligenz

Applied Embedded Systems

Ausgewählte Kapitel des Maschinenbau

Automatisierungstechnik (Aktorik, Sensorik, MSR)

Bruchmechanik- und Strukturanalyse

Elektromobilität

Fahrassistenzsysteme / Verkehrsleitsysteme

Fahrzeugleichtbau

Funktionale Sicherheit

IoT & Edge Computing

Mechatronic Systems Engineering

Microelectronics & HW/SW Co-Design

Robotic Vision

Robotik (Montage- und Handhabungstechnik)

Ruhr Master School

Ruhr Master School

SW Architectures for Embedded and Mechatronic Systems

Schaltungsanalyse und -synthese

Sensorik

Signals and Control Systems 1

Signals and Systems for Automated Driving

Software Engineering Project

Software-intensive Solutions

Spanende Fertigungstechnik

Strukturmechanik (FEM)

Strömungssimulation

Ur- und Umformtechnik

Usability Engineering

Verbrennungsmotoren

Compulsory elective modules 3. Semester

Module overview

1. Semester of study

Dynamische SystemePF 3 SWS 3 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)

Importance of the grade for the final grade

Literature

Fahrzeugdynamik / AntriebsstrangPF 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)

Importance of the grade for the final grade

Literature

Höhere MathematikPF 4 SWS 5 ECTS

Learning outcomes/competences

Dynamische Systeme
PF

3 SWS

3 ECTS

Fahrzeugdynamik / Antriebsstrang
PF

4 SWS

5 ECTS

Höhere Mathematik
PF

4 SWS

5 ECTS

Mechanik
PF

7 SWS

7 ECTS

Automatisierung und Sensorik
WP

6 SWS

8 ECTS

Cyber Security B
WP

4 SWS

6 ECTS

Dezentrale Energiesysteme
WP

0 SWS

8 ECTS

Energie- und Umwelttechnik
WP

4 SWS

5 ECTS

Energieübertragungstechnik
WP

0 SWS

8 ECTS

Hardware/Software Kodesign
WP

4 SWS

5 ECTS