Master Maschinenbau

Fast facts

Department
Maschinenbau
Stand/version
2023
Standard period of study (semester)
3
ECTS
90

Study plan

1. Semester	2. Semester	3. Semester
Angewandte Informatik PF 4SWS 5ECTS	Nachhaltigkeit und Ressourcen PF 4SWS 5ECTS	Thesis und Kolloquium PF 0SWS 30ECTS
Energie- und Umwelttechnik PF 4SWS 5ECTS	Strukturmechanik (FEM) PF 4SWS 5ECTS
Höhere Mathematik PF 4SWS 5ECTS	Strömungssimulation (CFD) PF 4SWS 5ECTS
Lean Production PF 4SWS 5ECTS	Systemtheorie PF 4SWS 5ECTS
Masterprojekt (Schwerpunkt) PF 12SWS 15ECTS	Verfahrenstechnik PF 4SWS 5ECTS
Produktentwicklung und CAE PF 4SWS 5ECTS	Compulsory elective modules (21)
Spanende Fertigungstechnik PF 4SWS 5ECTS
Ur- und Umformtechnik PF 4SWS 5ECTS
Compulsory elective modules (14)

Compulsory elective modules 1. Semester

Elektrische Antriebe und Leistungselektronik

WP
4SWS
5ECTS

Fahrzeugkonstruktion und -produktion

WP
4SWS
5ECTS

IT-Sicherheit und Datenmanagement

WP
6SWS
8ECTS

Compulsory elective modules 2. Semester

Angewandte Künstliche Intelligenz

WP
6SWS
8ECTS

Datenkommunikation und Mikrocontroller

WP
4SWS
5ECTS

Mechatronic Systems Engineering

WP
4SWS
6ECTS

Microelectronics & HW/SW Co-Design

WP
4SWS
6ECTS

Robotik und Handhabungstechnik

WP
4SWS
5ECTS

SW Architectures for Embedded and Mechatronic Systems

WP
4SWS
6ECTS

Sondergebiete der Ingenieurwissenschaft MEU

WP
4SWS
5ECTS

Sondergebiete der Ingenieurwissenschaft PES

WP
4SWS
5ECTS

Sondergebiete der Ingenieurwissenschaft PT

WP
4SWS
5ECTS

Compulsory elective modules 3. Semester

Module overview

1. Semester of study

Angewandte Informatik
PF

4 SWS

5 ECTS

Number
590492
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students are able to implement and use comprehensive topics in the field of engineering informatics with the help of modern development tools (Matlab/Simulink). These include:

Software quality
Modeling and control of technical contexts and technical processes
Programming and simulation under Simulink, including the creation of physical models
Programming and simulation with Matlab
Modeling of decision routines with the Stateflow tool
Programming of microcontrollers with Matlab and Simulink
Software solutions for machine learning and deep learning

The central content of the module is the application of Matlab and Simulink in software development relevant to mechanical engineering. Physical relationships are therefore converted into various model forms so that product development can be learned with the help of digital images of reality. Important areas of technical development, such as the control of technical systems or the interaction between software and hardware, are part of this module. Using the example of Arduino programming with Matlab and Simulink, students learn how to integrate software solutions into technical processes.
In addition to modeling, current topics in mechanical engineering are also covered, such as programming AI, machine learning and deep learning. To this end, image and pattern recognition using neural networks is also covered in this module.

Teaching methods

Seminar-based lecture, exercises and laboratory practicals

Participation requirements

Formal: none

Content: Basic knowledge of Matlab / Simulink is required.

Forms of examination

Summer semester:
Combination of semester-long partial performance exams (50%) and written exam (50%).

Duration: 60 minutes
Assistance permitted: none

Winter semester:
more extensive written exam (100%)

Duration: 120 minutes
Assistance allowed: none

Requirements for the awarding of credit points

The semester-accompanying partial examinations and the written examination are graded and must be passed with a total grade of 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

Pietruszka, W. D., Glöckler, M.: MATLAB® und Simulink® in der Ingenieurpraxis; Modellbildung, Berechnung und Simulation. Vieweg, 2020
Onlineressourcen Mathworks
Matlab Onramp
Simulink Onramp
Stateflow Onramp
Matlab Dokumentation https://de.mathworks.com/help/matlab/

Energie- und Umwelttechnik
PF

4 SWS

5 ECTS

Number
590311
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

Höhere Mathematik
PF

4 SWS

5 ECTS

Number
590011
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

Lean Production
PF

4 SWS

5 ECTS

Number
590111
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 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

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

Masterprojekt (Schwerpunkt)
PF

12 SWS

15 ECTS

Number
590031
Language(s)
de
Duration (semester)
1
Contact time
12 SV / 180 h
Self-study
270 h

Learning outcomes/competences

Master's project part 1 - introduction
Based on current topics from the subject areas of the Master's degree program, students have learned the methodical structuring and solution of a task, preferably from the chosen major field of study, under the guidance of a lecturer.

Management skills
After successfully completing the module, students are able to ...

apply and evaluate the instruments of project planning, management and control in different projects with confidence
develop a work breakdown structure for more complex projects, derive work packages from it and plan these using suitable attributes
assess responsibilities, costs and resources for more complex projects
assess conflict situations in projects and identify solutions
use creativity techniques to solve innovative technical problems
use the Scrum framework and the Kanban board in the planning and management of projects in practice
explain the tools and processes for coordinating and managing a project portfolio

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

Competencies part 1 and part 2

Writing scientific publications
Presentation design and presentation
Scientific disputation of own project contributions
Teamwork and conflict management
Self-management
Further development of technical knowledge and its networking in the areas of production, simulation, design, thermodynamics, mechanics, dynamics, testing, electronics, electrical engineering
Implementation skills in the application of different technical topics in mechanical engineering

Master's project part 1 - Introduction

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

Management skills

Project controlling, planning, management and monitoring
Success factors in projects (selected areas of action: Project team, stakeholder management, corporate and project cultures, communication, conflict management)
Problem-solving and creativity techniques
Project documentation, project completion and presentation
Multi-project management and project portfolio management
Different methods of project management
- Traditional project management
- Agile project management
- Hybrid forms

Master project part 2 - project work

Working on the topics by the students, if possible in a working group
The design and implementation of e.g. the required calculations and/or measurements and results are documented in a written paper in accordance with IPMA
Final presentation of the work results

Teaching methods

Seminar-based lecture/laboratory practicals, laboratory work and/or term paper with appropriate support from a supervising professor

Participation requirements

Formal: none

Content: none

Forms of examination

Project-related work as a module examination.

Management skills:
1. cooperation in the project 50%
2. handover report and submitted documents 25%
3. presentation 25%

All examinations must be graded at least 4.0 to pass.

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

18.75 % (see StgPO)

Master's project part 1 - introduction: 18.75 % * 5/15 = 6.25 %
Management skills: 18.75 % * 5/15 = 6.25 %
Master's project part 2 - project work: 18.75 % * 5/15 = 6.25 %

Literature

Masterprojekt Teil 1 und Teil 2

Entsprechend der Aufgabenstellung

Managementkompetenzen

Andler, N.: Tools für Projektmanagement, Workshop und Consulting: Kompendium der wichtigsten Techniken und Methoden, 6. Auflage, Publicis Erlangen 2015
Bruno, J.: Projektmanagement - Das Wissen für eine erfolgreiche Karriere, Vdf Hochschulverlag 2003
Jakoby, W.: Projektmanagement für Ingenieure - Ein praxisnahes Lehrbuch für den systematischen Projekterfolg, 3. Auflage, Wiesbaden 2015
Kusay-Merkle: Agiles Projektmanagement im Berufsalltag: Für mittlere und kleine Projekte, Springer 2018
Schelle, H.: Projekte zum Erfolg führen. Projektmanagement systematisch und kompakt. 6. Auflage, DTV-Beck 2010
Schwaber, K.; Sutherland J.: Der Scrum Guide – Der gültige Leitfaden für Scrum: Die Spielregeln, 2013

Produktentwicklung und CAE
PF

4 SWS

5 ECTS

Number
590211
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

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 the 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 transfer this to practical issues.

Duration: 60 minutes

Assistance permitted:

Printed lecture notes without calculated exercises
pocket calculator

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

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

Spanende Fertigungstechnik
PF

4 SWS

5 ECTS

Number
590121
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

Ur- und Umformtechnik
PF

4 SWS

5 ECTS

Number
590131
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

Advanced CAD / CAM
WP

4 SWS

5 ECTS

Number
K2 PT PS
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 independently plan and design complex manufacturing processes and implement them in modern CAD/CAM systems. As part of the laboratory practicals, students will have acquired the skills to design tools and cutting values for complex components and difficult-to-machine materials. Using modern 3D CAD/CAM software, multi-sided machining, 3-axis milling and 5-axis simultaneous machining of free-form surfaces can be programmed. Verification is carried out on the basis of various types of simulation and by manufacturing a sample component on modern 5-axis machining centers.

CAD basics

CAD systems, geometry model structure, interfaces

Surface feedback

Digitization process, data reduction, surface reconstruction

Tools and equipment

Tool definition, determination of the production strategy, cutting value determination, devices

Additional CAM strategies

Multi-axis machining, 3-axis milling of free-form surfaces, 5-axis simultaneous machining

Simulation techniques

Removal/engagement simulation, machine kinematics, process simulation

The practical laboratory course comprises the step-by-step development of the complete machining manufacturing process for complex products, including semi-finished product, tool, production and equipment planning. Based on a 3D model of the component, students generate an executable NC program using various programming strategies. The machining program is verified by means of machine simulation and by manufacturing the component on existing laboratory equipment.

Teaching methods

Seminar-style lecture with accompanying exercises, project practicals based on real products, possibly supplemented by excursion and guest lecture from industry

Participation requirements

Formal: none

Content: Production technology

Forms of examination

Project-related work in small project teams and module examination as a written exam

Duration: 120 minutes

Allowed aids:

All aids, except digital devices

Requirements for the awarding of credit points

The project-related work and the written examination must be passed with at least a sufficient grade (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.
Laborpraktikum: Arbeits- und Verfahrensanweisungen sowie Infoschriften im Downloadbereich des Lehrenden.
Hehenberger, P.: Computerunterstützte Fertigung. Springer-Verlag, Berlin/Heidelberg. 2011
Kief, H. B.; Roschiwal, H. A.; Schwarz, C.: CNC-Handbuch. Carl Hanser Verlag, München. 2017
N.N.: Konstruieren und Fertigen mit SolidWorks und SolidCAM. VDW-Nachwuchsstiftung, Stuttgart. 2012

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

Dynamische Simulation
WP

4 SWS

5 ECTS

Number
K2 PS
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students acquire knowledge of the:

Higher mechanics and its analysis methods
multibody simulation methods and their possibilities and limitations.

The students can:

Analyze multibody systems using analytical and numerical methods.

Kinematics of multibody systems,
Numerical methods for the investigation of kinematically determined systems,
Lagrange mechanics of multibody systems
Analytical and numerical methods for the investigation of the equations of motion
Implementation of num. Methods in computer programs

Teaching methods

Seminar-based lecture, exercises and laboratory practicals

Participation requirements

Formal: none

Content: none

Forms of examination

Written exam paper

Duration: 90 minutes

Assistance permitted:

No restriction

Optionally also project work, 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

Dahmen, W. u. Reusken, A.: Numerik für Ingenieure und Naturwissenschaftler. Springer-Verlag
Shabana, A.A.: Einführung in die Mehrkörpersimulation. Wiley-VCH
Vorlesungsskript
Woernle, C: Mehrkörpersysteme. Springer-Verlag

Elektrische Antriebe und Leistungselektronik
WP

4 SWS

5 ECTS

Number
K2 MEU
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Electric drives:
Building on the fundamentals of electrical machines, this module provides application-oriented basic knowledge of variable-speed electrical drive systems.
Students are familiar with the operating principle of various synchronous and direct current machines, their typical design and their specific operating behavior. They can calculate the operating behavior, load data and operating limits of the aforementioned drive types for variable-speed operation.
They can reproduce technical terms and parameters and also classify them correctly. You will be able to evaluate the advantages and disadvantages of the different machines. They know the principles of regulating electrical drives.
They can calculate the thermal behavior using simplified thermal models of machines and power electronics in continuous and short-term operation.
Students can select suitable machines for simple drive applications.
They know the classic methods for controlling a DC and three-phase asynchronous machine.
Students are able to describe these systems and drives at component and functional level, compare and evaluate different concepts.
They will be able to name important modern electrical systems and drives in the automotive sector and classify them in the overall vehicle system.

Power electronics:
Students know the structure, functionality and operating behavior of power electronic components and circuits, particularly with regard to their implementation in vehicle electronics and electromobility. They understand the functional principles of power electronic converters and are able to make decisions on the selection and use of power electronic circuits and the necessary components for specific applications. Students have basic and in-depth knowledge in the field of DC/DC converters. They understand the functionality of a converter with a DC link and control methods for power electronics.
You will be able to design parts of power and high-voltage circuits appropriately, dimension components correctly and optimize the circuits.
You will be able to select and dimension suitable assembly and connection technology as well as a heat dissipation concept for power and high-voltage electronics.

Electric drives:
Further basics of electrical machines

Brushless DC motors (including micromotors)
Synchronous machines,

Design, function and mode of operation, equivalent circuit diagram and voltage equations, pointer diagram, introduction of flux axes and coordinate systems

Asynchronous machines

Design, function and mode of operation, equivalent circuit diagram and voltage equations, pointer diagram,

Basics for the control of electromechanical actuators
Basics of frequency converters and their control
Development of a rotating field
V/f characteristic curve control of the three-phase asynchronous machine
Basic principle of field-oriented control
Application examples: Electric motors in conventional vehicle applications and in electromobility for 48V and high-voltage systems
Electric and hybrid traction drives: concepts; structure of the drive train; components of the drive train;

Power electronics:

Components of power electronics
- Power diodes (blocking, forward and reverse recovery behavior)
- MOSFET / bipolar transistor
- IGBT (mode of operation, switching behavior, control and protection)
- New types of Si power semiconductors
- Wide-bandgap power semiconductors (properties, SiC diodes, transistors)
- Modules (assembly and connection technology, reliability/load cycle stability)
- Qualification of power electronic components

Heating of power semiconductors: Thermal equivalent circuits, heat sources, operating point calculation, cooling methods
Multi-quadrant controller: structure, mode of operation, application for controlling a DC machine
Decrement converter: structure, mode of operation, dynamic modeling
Up converter: structure, mode of operation, dynamic modeling
Converters with DC link: design, mode of operation, control method, efficiency
Pulse width and space vector modulation methods
Application examples: Design and function of power converters and DC/DC converters for vehicle electronics and electromobility

Teaching methods

Seminar-style lectures in interaction with the students, exercises under the guidance of the lecturer including the development of results based on practical examples, as well as laboratory practicals in individual or team work on remotely controllable drive hardware and control software.

Participation requirements

Formal: none

Content: none

Forms of examination

The module examination consists of a written exam.

Duration: 90 minutes

Assistance permitted:

Collection of formulas from the lecture
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

Elektrische Antriebe:

Babiel, G., Elektrische Antriebe in der Fahrzeugtechnik: Lehr und Arbeitsbuch, 3. Auflage, Springer Vieweg Verlag, 2014
Binder, A., Elektrische Maschinen und Antriebe: Grundlagen und Betriebsverhalten, 2. Aufl., Springer V., 2012
Fräger, K. Permanentmagnet-Synchronantriebe im Feldschwächbetrieb, bulletin.ch, Heft
Hofmann, P., Hybridfahrzeuge : Ein alternatives Antriebssystem für die Zukunft, Springer Vienna, 2014 Liebl, J., Der Antrieb von Morgen 2017, Proceedings 11. Internat. MTZ Fachtagung Zukunftsantriebe, Springer Vieweg Verlag, 2017
Tschöke,H. ;Gutzmer, P.; Pfund, T., Elektrifizierung des Antriebsstrangs, Grundlagen vom Mikrohybrid zum vollelektrischen Antrieb, Springer Vieweg Verlag, 2019

Leistungselektronik:

Babiel, G.; Thoben, M., Bordnetze und Powermanagement, ISBN: 978-3-658-38023-6 , Springer Verlag, 2022
Jäger, R.; Stein, E., Leistungselektronik: Grundlagen und Anwendungen, VDE-Verlag, 6. Auflage, 2011
Jäger, R.; Stein, E., Leistungselektronik: Übungen zur Leistungselektronik, VDE-Verlag, 2. Auflage, 2012
Krüger, M., Grundlagen der Kraftfahrzeugelektronik Schaltungstechnik; 4. Auflage, ISBN: 978-3-446-46320-2 , Hanser Verlag, 2020
Lutz, J., Halbleiter-Leistungsbauelemente Physik, Eigenschaften, Zuverlässigkeit, Springer V., 2. Auflage, 2012
Probst, U., Leistungselektronik für Bachelors, Grundlagen und praktische Anw., 4. Auflage, C. Hanser V., 2020
Reif, K., Generatoren, Batterien und Bordnetze / Konrad Reif, ISBN: 978-3-658-18102-4 , Springer Vieweg Verlag
Schröder, D., Leistungselektronische Schaltungen: Funktion, Auslegung und Anw., 3. Auflage, Springer V., 2012

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

Fahrzeugkonstruktion und -produktion
WP

4 SWS

5 ECTS

Number
K2 PT
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90

Learning outcomes/competences

This module initially teaches 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 know the essential lightweight construction materials and are also able to optimize vehicle structures with regard to a lightweight construction goal. Students have knowledge of the methods of lightweight construction as a cross-sectional science of design, production, materials technology, mechanics, FEM and testing technology. They are proficient in the design of components made of fiber composites. They are also able to carry out simple topology optimization.

Construction methods of lightweight construction
Materials and manufacturing processes in lightweight construction
Fiber composite materials (GFRP, CFRP), thin-walled profile bars
Calculation of shear springs and thin-walled profile bars
Meshing strategies in the FEM and comparison of solid and shell elements
FEM calculation of components made from fiber composite materials
Higher finite element method and topology optimization

Teaching methods

Seminar-style lecture in interaction with the students. Independent FEM and optimization 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: CAD knowledge is required, basic knowledge of CAD-CAM is an advantage, but not essential

Forms of examination

The module concludes with an oral examination.

Duration: 45 minutes

The exam consists of questions directly to the students and a short group work.

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

Baier / Seeßelberg / Specht: Optimierung in der Strukturmechanik, Vieweg-Verlag, 1994
Bendsoe : Optimization of Structural Topology, Shape and Material, Springer-Verlag, 1995
Degischer / Lüftl: Leichtbau, Wiley-VCH-Verlag, 2009
Dreyer: Leichtbaustatik, Teubner-Verlag, 1982
Fischer: Konstruktion, Berechnung und Bau eines Leichtbaufahrzeuges mit Hilfe computergestützter Methoden (CAD, FEM, MKS), Forschungsbericht FH Dortmund, 2005
Fischer: Konstruktive Umsetzung der mit Hilfe der Finite-Elemente-Methodeoptimierten Designvarianten in fertigungsgerechte Bauteile, Forschungsbericht FH Dortmund, 2005
Fischer: Leichtbau in der Fahrzeugtechnik, Berufsbildungswissenschaftliche Schriften, Leuphana-Seminar-Schriften zur Berufs- und Wirtschaftspädagogik, Band 4: Die BBS Friedenstraße auf dem Weg zu einer nachhaltigen Entwicklung, 2010
Fischer: Zur Berechnung des Rißausbreitungsverhaltens in Scheiben und Platten mit Hilfe eines gemischten finiten Verfahrens, VDI-Verlag, 1991
Friedrich: Leichtbau in der Fahrzeugtechnik, Springer Vieweg - Verlag, 2017
Harzheim: Strukturoptimierung, Verlag Harri Deutsch, 2008
Henning / Moeller: Handbuch Leichtbau, Hanser-Verlag, 2011
Hill: Bionik – Leichtbau, Knabe-Verlag, 2014
Issler / Ruoß / Häfele: Festigkeitslehre - Grundlagen, Springer-Verlag, 1997
Kirsch: Structural Optimization, Springer-Verlag, 1993
Klein und Gänsicke: Leichtbau-Konstruktion, 11. Auflage, Springer-Vieweg-Verlag, 2019
Kossira: Grundlagen des Leichtbaus, Springer-Verlag, 1996
Linke: Aufgaben zur Festigkeitslehre für den Leichtbau, Springer Vieweg - Verlag, 2018
Linke, Nast: Festigkeitslehre für den Leichtbau, Springer Vieweg - Verlag, 2015
Nachtigall: Biomechanik, Vieweg-Verlag, 2001
Radaj, Vormwald: Ermüdungsfestigkeit, Grundlagen für Ingenieure, Springer, 3. Auflage
Rammerstorfer: Repetitorium Leichtbau, Oldenbourg-Verlag, 1992
Sauer: Bionik in der Strukturoptimierung, Vogel-Verlag, 2018
Schürmann: Konstruieren mit Faser-Kunststoff-Verbunden, Springer-Verlag, 2007
Schumacher: Optimierung mechanischer Strukturen, Springer-Verlag, 2005
Siebenpfeiffer: Leichtbau-Technologien im Automobilbau, Springer Vieweg - Verlag, 2014
von Gleich: Bionik, Teubner-Verlag, 1998
Wiedemann: Leichtbau, Band 1: Elemente, Springer-Verlag, 1986
Wiedemann: Leichtbau, Band 2: Konstruktion, Springer-Verlag, 1989

Hardware/Software Kodesign
WP

4 SWS

5 ECTS

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

Learning outcomes/competences

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

Technical and methodological competence:

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

Social skills:

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

Professional field orientation:

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

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

Teaching methods

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

Participation requirements

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

Forms of examination

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

Requirements for the awarding of credit points

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

Applicability of the module (in other degree programs)

Master's degree in Computer Science

Literature

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

Höhere technische Akustik
WP

4 SWS

5 ECTS

Number
K2 PS MEU
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

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.

To this end, they 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, they are familiar with the effect of noise on people and the social significance of noise emissions. 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.

Basics of acoustics:
Sound generation and sound 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

Vibration behavior of structures:
Natural frequencies and natural modes of vibration, modal damping, modal analysis, transfer path analysis

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

Low-noise construction and sound insulation:
Sound insulation and damping, development parameters and design influences for reducing and optimizing noise and vibration behaviour, practical examples

Teaching methods

Seminar-based lecture, exercises and laboratory practicals

Participation requirements

Formal: none

Content: Knowledge of the courses Acoustics or Vehicle Acoustics 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:

Pocket calculator
1 DIN A4 sheet, one-sided, self-written formulary

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

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

Thermo- und Fluiddynamik
WP

5 SWS

5 ECTS

Number
K2 PS MEU
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students...

have in-depth knowledge of material properties, heat and mass transfer and the calculation of fluid dynamic processes in combination with heat and mass transfer, with and without phase change.

Stationary and transient heat conduction, heat transfer, heat transfer
Instationary heating and cooling processes, radiation and absorption
Similarity theory of heat transfer, pinch-point method
Dimensionless parameters for recording heat and mass transfer in different flow forms
Types and designs of heat transfer
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 transport, diffusion, mass transfer, mass passage, 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, swirl theorem, momentum theorem
Fundamentals of turbomachinery
Gas dynamics, flow of compressible fluids, subsonic and supersonic flow based on critical ratios

Teaching methods

Seminar-style lectures
Exercises

Under the guidance of the lecturers, practical tasks are evaluated together, including the development of results based on specific questions. The topics are developed in interaction with the students
.

Participation requirements

Formal: none

Content: none

Forms of examination

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 and apply this knowledge to practical problems.

Duration: 120 minutes

Allowed aids:

a DIN A4 double-sided self-written collection of formulas
Non-programmable pocket calculator

Requirements for the awarding of credit points

The module examination is graded and 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

Baer; Stephan: Wärme- und Stoffübertragung, Springer Verlag, 10. Auflage, 2019
Sieckmann; Thamsen; Derda: Strömungslehre für den Maschinenbau, Springer Verlag, 2. Auflage, 2019
Siegloch: Technische Fluidmechanik, Springer Verlag, 11. Auflage, 2022
VDI-Wärmeatlas, Springer Verlag, 12. Auflage, 2019
Wagner,W.: Wärmeaustauscher, Vogel Verlag, 4. Auflage, 2009

2. Semester of study

Nachhaltigkeit und Ressourcen
PF

4 SWS

5 ECTS

Number
590321
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90

Learning outcomes/competences

Students gain a sound understanding of the methodical evaluation of the environmental impact of technical products and processes with a particular focus on the CO₂ footprint. They are able to:

correctly classify and interpret key environmental indicators (especially CO₂ equivalents) in the context of technical products and processes;
understand life cycle assessments (LCA) methodically and implement them independently in a simplified form
research suitable data sources, evaluate them critically and prepare them for comparative analyses
calculate and compare the CO₂ footprint of selected products and processes - e.g. food, energy sources or consumer goods - based on specific questions.
use common free software tools (e.g. OpenLCA, Excel-based modeling or Umberto LCA+) to carry out simple life cycle assessments
communicate the results in a way that is appropriate for the target audience, particularly with regard to technical, environmental and social issues

The module focuses on two key questions:

How large is the CO₂ footprint of technical or everyday products and processes?
What is needed to calculate and assess this footprint in a well-founded manner?

To answer these questions, selected products (e.g. butter vs. margarine, hydrogen from natural gas vs. solar power) are analyzed as examples. The students independently carry out simplified CO₂ balances and compare the environmental impact on the basis of publicly available data sources.
The course covers the following topics, among others:

Introduction to CO₂ equivalents and relevant environmental indicators
Basics of life cycle analysis (LCA) in accordance with ISA 14040/14044
System boundaries, functional unit, allocation: how to make "fair" comparisons
Data sources for environmental impact analyses and their uncertainties
Introduction to free tools for CO₂ balancing (e.g. OpenLCA, Excel-based modeling or Umberto LCA+)
Independent processing of an analysis task in small groups (e.g. product comparison)
Discussion of results, uncertainties and social relevance

The module is research- and practice-oriented and integrates e-learning phases as well as supervised small group work to carry out your own CO₂ comparison project;

Teaching methods

Seminar-style lecture

Participation requirements

Formal: none

Content: Knowledge of thermodynamics is assumed.

Forms of examination

The module concludes with a presentation and an oral examination.
Duration: 15 minutes presentation + 15 minutes oral exam

Assistance allowed: 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

DIN EN ISO 14040:2021-02, Umweltmanagement_- Ökobilanz_- Grundsätze und Rahmenbedingungen (ISO_14040:2006_+ Amd_1:2020); Deutsche Fassung EN_ISO_14040:2006_+ A1:2020

DIN EN ISO 14044:2021-02, Umweltmanagement_- Ökobilanz_- Anforderungen und Anleitungen (ISO_14044:2006_+ Amd_1:2017_+ Amd_2:2020); Deutsche Fassung EN_ISO_14044:2006_+ A1:2018_+ A2:2020

ILCD (2010): ILCD Handbook - General guide on LCA - Detailed guidance, Luxembourg: Publications Office (EUR (Luxembourg), 24708). Online verfügbar unter https://eplca.jrc.ec.europa.eu/uploads/ILCD-Handbook-General-guide-for-LCA-DETAILED-GUIDANCE-12March2010-ISBN-fin-v1.0-EN.pdf , zuletzt geprüft am 09.10.2023

Klöpffer, Walter; Grahl, Birgit (2009): Ökobilanz (LCA). Ein Leitfaden für Ausbildung und Beruf. 1. Auflage März 2009. Weinheim: WILEY-VCH. Online verfügbar unter http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10303941

Schmidt, Mario; Häuslein, Andreas (1997): Ökobilanzierung mit Computerunterstützung. Berlin, Heidelberg: Springer Berlin Heidelberg. Online verfügbar unter: https://link.springer.com/book/10.1007/978-3-642-80236-2

Strukturmechanik (FEM)
PF

4 SWS

5 ECTS

Number
590231
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 (CFD)
PF

4 SWS

5 ECTS

Number
590221
Language(s)
de
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

Systemtheorie
PF

4 SWS

5 ECTS

Number
590041
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students...

have the ability to describe signals and systems in the original and time domain.
know methods for system analysis and can apply these to LTI systems.
are able to apply the knowledge and methods they have learned 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
Pulse, 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.

Duration: 120 minutes

Assistance permitted:

No restriction, except for digital devices

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

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

Verfahrenstechnik
PF

4 SWS

5 ECTS

Number
590331
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90

Learning outcomes/competences

The students...

understand and explain the principle of mechanical stirring and mixing technology, mechanical separation technology as a sub-area of mechanical process engineering (MVT), thermal material separation as a sub-area of thermal process engineering (TVT)
learn how to select suitable equipment, as well as the possible applications and limits of the processes and can assess these
master and evaluate the balancing (quantity and energy balance) of apparatus and plant components for stirring and mixing technology, particle separation and thermal material separation (MVT, TVT)
expand their application and system expertise with which they can argue

Mechanical process engineering:

Stirring and mixing

Stationary and transient sedimentation, gravity and centrifugal separators

Particle separation from gases and liquids

Mechanical liquid separation

Thermal process engineering: -

Analogy between heat transfer and mass transfer, transient heating and cooling processes
Evaporation and condensation (water skin theory)
Phase equilibria in ideal and real mixtures
Azeotropes, boiling and equilibrium diagram, open bubble distillation
Continuous rectification: plate number according to McCabe-Thiele, Fenske/Underwood/Gilliland, choice of reflux ratio, volume and heat balance, plate efficiency
Design and dimensioning of soil columns, packed columns and packed columns (HTU-NTU method)

Teaching methods

Seminar 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: Process engineering in the previous Bachelor's/Diploma degree program

Forms of examination

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

Assistance permitted:

self-written formulary, 1 DIN A4 sheet double-sided
Non-programmable pocket calculator

The module examination consists of a written exam in which students are required to demonstrate basic knowledge of mechanical and thermal process engineering 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)

optional

Importance of the grade for the final grade

6.25% (see StgPO)

Literature

Christen, D.: Praxiswissen der chemischen Verfahrenstechnik, Springer Verlag (neuste Auflage)
Kraume, M.: Transportvorgänge in der Verfahrenstechnik, Springer Verlag (neuste Auflage)
Sattler, K., Adrian, T.: Thermische Trennverfahren, Wiley-VCH Verlag (neuste Auflage)
Schönbucher, A.: Thermische Verfahrenstechnik, Springer Verlag (neuste Auflage)
Stieß, M.: Mechanische Verfahrenstechnik 1 und 2, Springer Verlag (neuste Auflage)

Additive Fertigungsverfahren
WP

4 SWS

5 ECTS

Number
K2 PT
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90

Learning outcomes/competences

Students deepen their knowledge of additive manufacturing. They have specialized knowledge in the application of additive manufacturing processes with a focus on production-oriented design. They know how the main 3D printing processes work and can evaluate, compare and select them according to scientific criteria. They master the basic process chain for 3D-printed components. Students can implement this process chain in practice and are able to design and manufacture objects in a 3D-printable manner.

Basics, definitions and historical context
3D printing process: Discussion of the main processes, definition and differentiation of the processes, advantages and disadvantages, fields of application
Designing for production, data preparation, component post-processing
Practical work with various 3D printing systems
Business Studies, component quality and use cases in the industry
Market trends and current developments

Teaching methods

The seminar-style lecture conveys the theoretical content. The contents of the lecture are deepened in the laboratory through practical laboratory work and demonstrations.

Participation requirements

Formal: none

Content: CAD knowledge is required, SolidWorks knowledge is desirable

Forms of examination

Written exam paper as module examination

Duration: 90 minutes

Assistance permitted:

Pocket calculator

If the number of participants is low, a term paper will be written. 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

Gebhardt: Additive Fertigungsverfahren; Hanser-Verlag
Richard, Schramm, Zipsner: Additive Fertigung von Bauteilen und Strukturen; Springer Fachmedien
Milewski: Additive Manufacturing of Metals, Springer International Publishing

Angewandte Künstliche Intelligenz
WP

6 SWS

8 ECTS

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

Applied Embedded Systems
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

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

Skills

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

Competence - attitude

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

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

Course Structure

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

Case Studies

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

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

Teaching methods

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

Participation requirements

none

Forms of examination

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

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

Requires:

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

Connects to:

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

Importance of the grade for the final grade

5,00%

Literature

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

Datenkommunikation und Mikrocontroller
WP

4 SWS

5 ECTS

Number
K2 MEU
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

The students have an overview of the current forms of communication used in vehicles. In addition to the CAN bus, students learn about other important data communications such as Ethernet, LIN, Flexray, MOST and A2B. The basics learned are supplemented by practical tasks in which the students use current development tools from the vehicle industry (e.g. the CANoe software from Vector Informatik).
In the field of microcontrollers, students have a sound knowledge of how microcontrollers are structured, how they are programmed and which development tools are used in vehicle electronics. The focus is on the special technical features that must be taken into account for correct functioning in the vehicle. This relates to the hardware-related software, including measures to ensure electromagnetic compatibility.
The theoretical knowledge is supplemented by practical labs in which students implement and test CAN communication with microcontrollers (Arduino) and MATLAB / Simulink.

One focus is the communication in the vehicle between different electronic systems, e.g. CAN-BUS, Ethernet etc.
The introduction and investigation of the CAN bus takes place in the laboratory for vehicle electronics using tools from Vector: CANoe, CAN scope, CAN stress module, LIN module, FlexRay module and Ethernet module. In the course of the seminar, participants work in small groups to solve various tasks relating to the CAN BUS. Another focus is on teaching the special features that need to be taken into account when installing microcontrollers in vehicles. In order to learn how to use the resources on a microcontroller, various applications are developed on an Arduino with MATLAB / Simulink in the practical exercises.

Teaching methods

Seminar lecture

Participation requirements

Formal: none

Content: none

Forms of examination

The module examination consists of a written exam.

Duration: 120 minutes

Allowed aids:

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

Beierlein, T. / Hagenbruch, O.: Taschenbuch Mikroprozessortechnik, Hanser Verlag
Bosch, Kraftfahrtechnisches Taschenbuch, VDI-Verlag
Etschberger,K.: Controller Area Network, Hanser Verlag, 2002
Grzemba, A./ H.C. von der Wense: LIN-BUS, Franzis Verlag
Grzemba, A.: MOST, Franzis Verlag
Herrmann, D.: Effektiv Programmieren in C und C++, Vieweg Verlag
Kernighan, R.: Programmieren in C, Hanser Verlag
Krüger, M.: Grundlagen der Kraftfahrzeugelektronik Schaltungstechnik 4. Auflage, Hanser Verlag, 2020
Lawrenz, W.: CAN Controller Area Network Grundlagen und Praxis, Hüthig Verlag
Rausch, M.: FlexRay, Hanser Verlag
Reif, K.: Automobil-Elektronik, Vieweg Verlag

Energiewandlung
WP

4 SWS

5 ECTS

Number
K2 MEU
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students acquire the ability to develop methodologically sound solutions to problems and acquire new scientific knowledge in the field of energy conversion. They are familiar with the state of the art of selected energy systems and the current state of research.
In doing so, they acquire the ability to think in a networked and critical way, as well as interdisciplinary methodological skills.

The course mainly teaches:
Professional competence 20% Methodological competence 40% System competence 20% Social competence 20%

The course teaches basic knowledge about the structure and function of energy plants and systems:

Combined heat and power (CHP)
Solar thermal energy
Photovoltaics
Geothermal energy
Steam power and combined cycle power plants
Boiler plants
Fuel cell systems

In addition to the purely physical, technical understanding, it is also about the energy-economic boundary conditions and material resources.

Significance of the doubling of global energy demand by 2050
Change in ecosystems and consequences
Systematic context of resource supply
Habitat threat

Teaching methods

Seminar-based lecture and laboratory work

Participation requirements

Formal: none

Content: none

Forms of examination

Combination of participation during the semester and presentation 50%, final presentation 30%, written exam 20%
All examinations must be graded at least 4.0 to pass
.
Alternatively: written examination paper; oral examinations or combination examinations

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 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

Quaschning, V.: Regenerative Energiesysteme
Stan, C.: Thermodynamik des Kraftfahrzeugs
Watter, H.: Nachhaltige Energiesysteme
Zahoransky, R: Energietechnik

Ergänzungsmodul
WP

4 SWS

5 ECTS

Number
K3 PT PA MEU
Duration (semester)
1

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.

Management Systems and Audit
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge and Understanding:
The students

can explain the importance of management systems and audit management for a company
know laws and regulation concerning these topics in Germany, Europe and beyond
know the international management norms for management systems and audit and can explain the reasoning for and the structure of these norms
can explain company responsibilities for management systems and audit and the elements of implementing management processes for these
know management tools & techniques needed in project work

Application and Generation of Knowledge:
The students are able to

analyze given sets of rules and regulations on management systems and audit
implement management processes for management systems and audit
analyze and establish concepts on management systems and audit in teams & projects
develop and maintain management systems and audit processes and guidelines according to given company & country rules and regulations and international management practice

Communication and Cooperation:
The students

train to reflect on the impact of their work and their projects
are able to lead discussions and bring conflicting ideas and goals to a consensus
reflect on ecological, economic, societal, legal and political aspects as well as on the ethical aspects and compare these within the international and intercultural environment of the course

Scientific Self-Understanding / Professionalism:
The students are able to

develop a working culture in their projects or in their company as responsible for management systems and audit
apply their judgement on controversial topics and learn to lead a team to a consensus

This course addresses the organization of processes related to questions of health, safety and environment as well as energy. It especially focusses on the introduction and operation of international management norms which deal with these topics.
Managing safety, health and environmental issues is not only regulated by many laws and thus mandatory for most societies in the world, but also an important factor not to endanger a project. Besides the direct economic impact of failures in this area a consistent management of safety, health and environment shows a company's attitude - and a project manager's personal attitude - towards its employees and towards the society in general.
The use of energy and connected with it the ecologic impact of it are becoming more important for our future world. This is taken into account in legislation - not only in Germany - which focuses on replacing fossil fuels and enhancing the efficiency of energy use. A part of this legislation explicitly stresses the importance of efficient management processes by giving financial incentives.
Norms are used on a national and transnational basis to define internationally respected standards for technical equipment but also for management processes. Management of health and safety is dealt with in ISO 4500x, environmental management in ISO 1400x and energy management in ISO 5000x.
This course focusses on the implementation and operation of management processes for management systems and audit as given by the above mentioned norms. It also emphasis the integration of management systems and audit topics in project management.
After a general introduction and motivation, different laws and regulations (within and outside the EU) and different tools and techniques for project work are discussed. The international diversity of the students allows the comparison of rules and regulations and also of management traditions of different countries and companies.
Similarities and differences in the mentioned norms and their implementation are worked out. Tools and techniques to implement the norms and make efficient use of the created management structures are discussed. Special regard is taken in the advantages to not only implement one management norm but to implement a series of norms in an enterprise.
The course includes case studies and role play activities applying the theory in situations arising from either the implementation of management structures in a company or from typical project management situations concerning questions of management systems and audit.

1 Theoretical Foundation
1.1 Management of Health, Safety and Environment
1.2 Energy Management
1.3 Management Traditions and Company Reports
1.4 Laws and Regulation
1.5 International Management Norms for Health, Safety, Environment and Energy
1.6 Project Management Basics

2 Practice/Case Studies
2.1 Definition of Case Studies/Role Plays
2.2 Management Tools and Techniques
2.3 Implementation and Operation of Management Norms
2.4 Health, Safety, Environment and Energy in Project Management

Teaching methods

Lectures and e-learning material will introduce students to concepts, methods and tools
Group work using case studies and role plays will be used to work on the development and implementation of management processes concerning management systems and audit as well as integrating management systems and audit in project work
Homework to add individual contributions
Presentations to communicate results

Participation requirements

Formal: -
Knowledge and Competencies: -

Forms of examination

100 % contributions within the course (group and individual work in role play and case studies, individual paper on research topic)

Requirements for the awarding of credit points

Successful completion of examination, scientific paper and presentation

Applicability of the module (in other degree programs)

Digital Transformation (MSc)

Importance of the grade for the final grade

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

Literature

Heras-Saizarbitoria, I. (2018): ISO 9001, ISO 14001, and New Management Standards, Springer

ISO standards for ISO 4500x, ISO 1400x, ISO 5500x

Laws and Regulation on Health, Safety, Environment and Energy

Project Management:

Pardy, W.; Andrews, T. (2019): Integrated Management Systems: Leading Strategies and Solutions, Bernan Press, 2nd edition

Rossiter, A.P.; Jones, B.P. (eds) (2015): Energy Management and Efficiency for the Process Industry, Wiley, Hoboken

Smith, C.B.; Parmenter, K.E. (2016): Energy Management Principles, 2nd ed., Elsivier, Amsterdam

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

Qualitätsmanagementmethoden
WP

4 SWS

5 ECTS

Number
K2 PT PS MEU
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

perform FMEA within development and manufacturing processes
apply selected statistical methods of quality management to monitor and control processes
interpret calculated results in the context of product development and production and critically scrutinize statistical analyses
carry out machine and process capability studies and interpret their results
implement practical methods for problem definition and analysis as well as solution development
select and apply suitable measurement systems for simple verification and validation tasks

Concept of quality, quality characteristics
Preventive methods of quality management (especially FMEA)
Statistical methods in quality management
- Basics of statistics
- Measurement system analysis as a prerequisite for process capability analyses
- Types of distribution
- Basics and applications of inferential statistics, hypothesis tests
- Visualization of data
- Correlation, linear regression analysis
- Design of Experiments (DOE)
- Manufacturing process quality (in particular SPC, process stability and capability)
Methods of reactive and preventive quality management in the problem-solving process

Teaching methods

Lecture and exercises

Participation requirements

Formal: none

Content: none

Forms of examination

The module concludes with a written exam containing both open questions and multiple choice questions.
Duration: 90 minutes

Allowed aids: 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

AIAG & VDA: FMEA-Handbuch, Design-FMEA, Prozess-FMEA, FMEA-Ergänzung - Monitoring & Systemreaktion, 2019
Brückner, C.: Qualitätsmanagement: Das Praxishandbuch für die Automobilindustrie, Hanser: München 2019
Edgar, D; Schulze, A.: Eignungsnachweis von Prüfprozessen, Hanser: München, 2017
Skript des Lehrenden
VDA QMC: Reifegradabsicherung für Neuteile, VDA: Berlin, 2022
VDA QMC: Sicherung der Qualität von Lieferungen, VDA: Berlin, 2022

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 und Handhabungstechnik
WP

4 SWS

5 ECTS

Number
K2 PT
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

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

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

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

Sondergebiete der Ingenieurwissenschaft MEU
WP

4 SWS

5 ECTS

Number
K3 MEU
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students are able to familiarize themselves with various engineering topics. The knowledge imparted in the course can be transferred independently to different applications. In addition, students will be able to independently deepen their knowledge of the topics covered and implement the latest advances in technology and science.

The content taught is based on current topics in engineering. These are interdisciplinary in nature and deal with new developments in the fields of mechanical engineering, production engineering, electrical engineering, computer science and business administration. In addition to presenting the current state of the art and the latest developments, current research topics and future potential are also covered.

Teaching methods

The theoretical content of the subject area is taught in seminar-style lectures.
The contents of the course can be deepened in an application-oriented manner through exercises, laboratory practicals, excursions and/or contributions from guest lecturers.

Participation requirements

Formal: none

Content: none

Forms of examination

Written exam paper as module examination

Duration: 120 minutes

Alternatively, semester-accompanying project work as partial examinations or term papers and oral examinations as well as combination examinations are also possible
.
Students will receive the exact form of examination in the first course;

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

Skriptum und Foliensätze der/des Lehrenden
Fachspezifische Literaturempfehlungen der/des Lehrenden werden zu Beginn der Veranstaltung bekannt gegeben
Bender, B.; Göhlich, D. (Hrsg.): Dubbel Taschenbuch für den Maschinenbau. Springer-Verlag, Berlin-Heidelberg, 26. Auflage, 2021 Edition. ISBN: 978-3662620182
Czichos, H.; Hennecke, M.; Akademischer Verein Hütte e.V. (Hrsg.): Hütte. Das Ingenieurwissen. Springer-Verlag, Berlin-Heidelberg, 33. Auflage, 2007. ISBN: 978-3540718512

Sondergebiete der Ingenieurwissenschaft PES
WP

4 SWS

5 ECTS

Number
K3 PS
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Teaching methods

Participation requirements

Formal: none

Content: none

Forms of examination

Written exam paper as module examination

Duration: 120 minutes

Alternatively, semester-accompanying project work as partial examinations or term papers and oral examinations as well as combination examinations are also possible
.
Students will receive the exact form of examination in the first course.

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

Skriptum und Foliensätze der/des Lehrenden
Fachspezifische Literaturempfehlungen der/des Lehrenden werden zu Beginn der Veranstaltung bekannt gegeben
Bender, B.; Göhlich, D. (Hrsg.): Dubbel Taschenbuch für den Maschinenbau. Springer-Verlag, Berlin-Heidelberg, 26. Auflage, 2021 Edition. ISBN: 978-3662620182
Czichos, H.; Hennecke, M.; Akademischer Verein Hütte e.V. (Hrsg.): Hütte. Das Ingenieurwissen. Springer-Verlag, Berlin-Heidelberg, 33. Auflage, 2007. ISBN: 978-3540718512

Sondergebiete der Ingenieurwissenschaft PT
WP

4 SWS

5 ECTS

Number
K3 PT
Language(s)
de
Duration (semester)
1
Contact time
4 SV / 60 h
Self-study
90 h

Learning outcomes/competences

Students are able to familiarize themselves with various engineering topics. The knowledge imparted in the course can be transferred independently to different applications. In addition, students are enabled to independently deepen their knowledge in the subject areas covered and to implement current advances in the state of the art and science.

Teaching methods

Participation requirements

Formal: none

Content: none

Forms of 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

Skriptum und Foliensätze der/des Lehrenden
Fachspezifische Literaturempfehlungen der/des Lehrenden werden zu Beginn der Veranstaltung bekannt gegeben
Bender, B.; Göhlich, D. (Hrsg.): Dubbel Taschenbuch für den Maschinenbau. Springer-Verlag, Berlin-Heidelberg, 26. Auflage, 2021 Edition. ISBN: 978-3662620182
Czichos, H.; Hennecke, M.; Akademischer Verein Hütte e.V. (Hrsg.): Hütte. Das Ingenieurwissen. Springer-Verlag, Berlin-Heidelberg, 33. Auflage, 2007. ISBN: 978-3540718512

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)

3. Semester of study

Thesis und Kolloquium
PF

0 SWS

30 ECTS

Number
103
Language(s)
de
Duration (semester)
1
Contact time
-
Self-study
900 h

Learning outcomes/competences

The Master's thesis demonstrates 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 specified time frame and to present the results systematically structured and comprehensibly in a written paper.
In particular, the student demonstrates the ability to independently acquire new knowledge quickly, methodically and systematically.
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 processing of an engineering task from the subject areas of the Master's degree program in Mechanical Engineering, which can be processed both in research institutions of the university and in industry under the supervision of a professor involved in the Master's degree program. The thesis must be submitted in written form to present the scientific methods and results applied.

Colloquium:
Finally, a colloquium in the form of an oral examination takes place. 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: all module examinations except for one examination each in a compulsory module and in a compulsory elective module must be passed.

Forms of examination

Thesis as a written elaboration of 80 to 120 DIN A4 pages with a processing time of at least 16 and a maximum of 20 weeks.

The colloquium is conducted as 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 those students can be admitted to the colloquium who

have provided proof of enrolment for the Master's in Mechanical Engineering study program
have earned a total of 60 ECTS during their studies
has earned 27 ECTS credits 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

Angewandte Informatik

Nachhaltigkeit und Ressourcen

Thesis und Kolloquium

Energie- und Umwelttechnik

Strukturmechanik (FEM)

Höhere Mathematik

Strömungssimulation (CFD)

Lean Production

Systemtheorie

Masterprojekt (Schwerpunkt)

Verfahrenstechnik

Produktentwicklung und CAE

Compulsory elective modules (21)

Spanende Fertigungstechnik

Ur- und Umformtechnik

Compulsory elective modules (14)

Compulsory elective modules 1. Semester

Advanced CAD / CAM

Automatisierung und Sensorik

Cyber Security B

Dezentrale Energiesysteme

Dynamische Simulation

Elektrische Antriebe und Leistungselektronik

Energieübertragungstechnik

Fahrzeugkonstruktion und -produktion

Hardware/Software Kodesign

Höhere technische Akustik

IT-Sicherheit und Datenmanagement

Intelligente Antriebssysteme

Mixed-Signal CMOS Design

Thermo- und Fluiddynamik

Compulsory elective modules 2. Semester

Additive Fertigungsverfahren

Angewandte Künstliche Intelligenz

Applied Embedded Systems

Datenkommunikation und Mikrocontroller

Energiewandlung

Ergänzungsmodul

IoT & Edge Computing

Management Systems and Audit

Mechatronic Systems Engineering

Microelectronics & HW/SW Co-Design

Qualitätsmanagementmethoden

Robotic Vision

Robotik und Handhabungstechnik

SW Architectures for Embedded and Mechatronic Systems

Signals and Control Systems 1

Software Engineering Project

Software-intensive Solutions

Sondergebiete der Ingenieurwissenschaft MEU

Sondergebiete der Ingenieurwissenschaft PES

Sondergebiete der Ingenieurwissenschaft PT

Usability Engineering

Compulsory elective modules 3. Semester

Module overview

1. Semester of study

Angewandte InformatikPF 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

Energie- und UmwelttechnikPF 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

Contents

Angewandte Informatik
PF

4 SWS

5 ECTS

Energie- und Umwelttechnik
PF

4 SWS

5 ECTS

Höhere Mathematik
PF

4 SWS

5 ECTS

Lean Production
PF

4 SWS

5 ECTS

Masterprojekt (Schwerpunkt)
PF

12 SWS

15 ECTS

Produktentwicklung und CAE
PF

4 SWS

5 ECTS

Spanende Fertigungstechnik
PF

4 SWS

5 ECTS

Ur- und Umformtechnik
PF

4 SWS

5 ECTS

Advanced CAD / CAM
WP

4 SWS

5 ECTS