Master Informationstechnik Teilzeit

Explain the basic concepts of computer structures and operating systems, including number and character representation, digital technology, computer architecture, and operating system functions.
explain the operation of microprocessors and their architectural principles.
describe and evaluate the central tasks of an operating system (process, memory and file management).

Use, application and generation of knowledge

Analyze digital circuits using Boolean algebra and design simple switching networks and switching systems.
interpret basic machine programs and understand their effects on hardware.
apply Linux operating systems practically, especially in dealing with file systems and processes

Communication and cooperation

Work on programming and analysis tasks in groups of two and present results in a structured manner
communicate technical contexts from the areas of computer structures and operating systems in an understandable way.

Scientific self-image / professionalism

Critically reflect on concepts of digital technology, computer architecture and operating systems in a technical and social context.
to independently acquire further knowledge in the field of computer architectures and operating systems.

Number and character representation (positive and negative integers, ASCII/Unicode)
Fundamentals of digital technology (switching algebra, gates, normal forms, optimizations)
Arithmetic and logic (simple standard switching networks - from multiplexer to ALU)
Memory (RS latch, reference to automata theory, flip-flops, simple standard switching networks)
Computer architecture (machine types, von-Neumann and Harvard, approaches to modernization, current processors)
Microprocessor architecture and programming (case study Microchip AVR ATmega)
Introduction to the practical application of Linux (files and directories, input/output redirection, processes)
Operating system concepts (architectures)
Processes (administration, scheduling)
Memory management (free memory management, swapping, virtual memory)
File systems (FAT, Unix inodes)

Teaching methods

Lecture in interaction with the students, with blackboard writing and projection
Exercise accompanying the lecture
Internship accompanying the lecture

Participation requirements

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

Forms of examination

written examination paper [scope: 100%] (90min); examination work during the semester (bonus points)

Requirements for the awarding of credit points

Passing a 90-minute graded written exam with at least sufficient (4.0)

Applicability of the module (in other degree programs)

Bachelor's degree in Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor of Computer Science Dual

Literature

Tanenbaum, A.S., Rechnerarchitektur: Von der digitalen Logik zum Prarallelrechner, 6. Aufl., Pearson Studium, 2014.
Hoffmann, D.W., Grundlagen der Technischen Informatik, 7. Aufl., Hanser, 2023.
Tanenbaum, A.S., Moderne Betriebssysteme, 4. Aufl., Pearson Studium, 2016.
Stallings, W., Operating Systems: Internals and Design Principles, 9th ed., Prentice Hall, 2017.

Advanced Robotic Vision
WP

6 SWS

8 ECTS

Number
60682
Duration (semester)
1

Angewandte biomechanische Messtechnik
WP

4 SWS

8 ECTS

Number
11222
Duration (semester)
1

Architekturen verteilter intelligenter Systeme
WP

3 SWS

4 ECTS

Number
60674
Duration (semester)
1

Automotive Systems
WP

3 SWS

4 ECTS

Number
60675
Duration (semester)
1

Biomedical Signal Processing
WP

6 SWS

8 ECTS

Number
60324
Duration (semester)
1

Computer Netzwerke
WP

6 SWS

8 ECTS

Number
60630
Duration (semester)
1

Computer Vision
WP

3 SWS

8 ECTS

Number
60317
Duration (semester)
1

Computer-Netzwerke 1
WP

3 SWS

4 ECTS

Number
106401
Duration (semester)
1

Computer-Netzwerke 2
WP

3 SWS

4 ECTS

Number
106402
Duration (semester)
1

Learning outcomes/competences

Test

Cyber Security A
WP

3 SWS

4 ECTS

Number
60636
Duration (semester)
1

Cyber Security A
WP

3 SWS

4 ECTS

Number
RMS
Duration (semester)
1

Cyber Security B
WP

4 SWS

6 ECTS

Number
60668
Duration (semester)
1

Cyber Security B
WP

4 SWS

6 ECTS

Number
RMS
Duration (semester)
1

Learning outcomes/competences

Test

Data Science und Softwareengineering 1
WP

3 SWS

4 ECTS

Number
106341
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

Transfer of knowledge about the design and architecture of software as an essential pillar of software engineering

Technical and methodological competence:

Understanding the concepts of object-oriented design
Design and documentation of applications with UML
Understand the principles, patterns and aspects of software architecture
Defining, documenting and evaluating architectures
Describing the architecture and design process
Describing and classifying modern software techniques

Interdisciplinary methodological competence:

Thinking in systems
Designing and documenting target systems
Process-oriented approach

Social skills:

Working in small teams
Results-oriented group work

Object-oriented design
- Software design with the UML
- Design principles
- Design patterns
- Interface design (including linking technical concepts to relational databases)
- Aspects (error handling, parameterization/configuration, logging, internationalization, multi-client capability)
Software architecture
- Views and perspectives
- Architecture principles
- Architecture patterns
Architecture and design process
- Decision-making and risk management
- Process models
Classification of modern software techniques
- Component-based software development (CBD)
- Model Driven Architecture (MDA)
- Service-oriented architectures (SOA)
- Aspect-oriented programming (AOP)

Teaching methods

Lecture in interaction with the students, with blackboard writing and projection
Solving practical exercises in individual or team work
Processing programming tasks on the computer in individual or team work

Participation requirements

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

Forms of examination

written exam paper

Applicability of the module (in other degree programs)

Bachelor of Business Informatics
Bachelor of Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual
Bachelor of Computer Science Dual

Literature

Kecher, Christ: UML 2.5 - Das umfassende Handbuch, Rheinwerk Computing, 2015
Starke, Gernot: Effektive Software-Architekturen - Ein praktischer Leitfaden, Hanser, 8. Auflage 2018
Starke, Gernot; Hruschka, Peter; ARC42: Pragmatische Hilfe für Softwarearchitekten, Hansa, 2015

Data Science und Softwareengineering 2
WP

3 SWS

4 ECTS

Number
106351
Duration (semester)
1

Data-driven Development
WP

4 SWS

6 ECTS

Number
106391
Duration (semester)
1

Digital Automation and Control
WP

3 SWS

4 ECTS

Number
60673
Duration (semester)
1

Digital Design Lab
WP

3 SWS

4 ECTS

Number
60666
Duration (semester)
1

Digital Transmission Systems
WP

3 SWS

4 ECTS

Number
60669
Duration (semester)
1

Digitale Signalverarbeitung auf FPGAs
WP

3 SWS

4 ECTS

Number
106321
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

Technical and methodological competence

After successful participation, students are able to prepare and give company presentations and specialist lectures.

Self-competence

The student can present ideas and proposed solutions in writing and orally, the independent presentation of solutions contributes to the development of self-confidence/professional competence.
The development of strategies for acquiring knowledge and skills is supported by the combination of individual meetings during the semester with independent work on the contents of scientific literature.

Social skills

The student can argue in a goal-oriented manner in discussions and deal with criticism objectively
The student can recognize and reduce existing misunderstandings between discussion partners

Presentation and elaboration on a selected special topic of software engineering, which is worked out in an application-oriented manner in a business context.

Teaching methods

Individual work
Seminar
Independent scientific work
regular discussion of the interim status of the project or seminar paper with the responsible supervisor
concluding presentation

Participation requirements

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

Forms of examination

Presentation

Requirements for the awarding of credit points

successful presentation
regular participation in at least 2/3 of the attendance dates

Applicability of the module (in other degree programs)

Bachelor's degree in Software and Systems Engineering (dual)

Literature

Begründung zur Notwendigkeit der Teilnahmepflicht:

Es handelt sich um eine zu Exkursionen, Sprachkursen, Praktika und praktische Übungen vergleichbare Lehrveranstaltung mit in der Regel maximal 20 Teilnehmern. Durch eine regelmäßige Teilnahme werden die Fach- und Methodenkompetenzen der Studierenden in der Einübung des wissenschaftlichen Diskurses in Gruppenarbeit mit anderen Studierenden und im Dialog mit dem Dozenten erarbeitet und gefestigt. Eine Reflektion der Kompetenzen und damit der Lernziele ist selbstständig nicht ausreichend möglich. Nur ein geringer Anteil der Veranstaltung bezieht sich auf die selbstständige Einarbeitung in die fachlichen Inhalte und die Vorbereitung auf den wissenschaftlichen Diskurs, der größere Anteil bezieht sich auf die gemeinschaftliche Erarbeitung und Reflektion der Kompetenzen, sodass eine regelmäßige Teilnahme an mindestens 2/3 der Präsenzterminen für das Erreichen der Lernziele gegeben ist.

Drahtlose Sensornetzwerke / Aktornetzwerke
WP

3 SWS

4 ECTS

Number
60216
Duration (semester)
1

Elektromagnetische Feldsimulation
WP

3 SWS

4 ECTS

Number
60631
Duration (semester)
1

Elektronik 1 in der Medizintechnik
WP

3 SWS

4 ECTS

Number
11220
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

Applicability of the module (in other degree programs)

see homepage of the Ruhr Master School

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

Elektronik 2 in der Medizintechnik
WP

3 SWS

4 ECTS

Number
11221
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

Embedded Systems for AI/ML
WP

3 SWS

4 ECTS

Number
11213
Duration (semester)
1

Energieübertragungstechnik
WP

0 SWS

8 ECTS

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

Learning outcomes/competences

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

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

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

Teaching methods

Seminar course

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

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

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

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

Extended Reality
WP

3 SWS

4 ECTS

Number
106361
Duration (semester)
1

Extended Reality
WP

3 SWS

4 ECTS

Number
RMS
Duration (semester)
1

Extended Reality 2
WP

6 SWS

8 ECTS

Number
106362
Duration (semester)
1

Fahrzeugvernetzung
WP

4 SWS

6 ECTS

Number
1063951
Duration (semester)
1

Gebäudekommunikations- und Managementsysteme
WP

3 SWS

4 ECTS

Number
60632
Duration (semester)
1

Hardware-Software-CoDesign
WP

3 SWS

4 ECTS

Number
106331
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

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

name the central basic principles and concepts of the WWW (e.g. client-server, HTTP) and the Internet (e.g. protocols) and classify them in the context of web applications,
distinguish between client-side and server-side web development techniques,
recognize basic, technology-independent architectural aspects of web applications (e.g. ModelView controller, event-driven and asynchronous programming) and transfer them to specific technologies.

Deployment, application and generation of knowledge: After completing this module, students will be able to

specify the structure of a web interface using HTML in a semantically correct and accessible way,
to use essential web development tools, such as development environments and build management tools,

Communication and cooperation: After completing this module, students will be able to

develop and implement solutions cooperatively in a team, and
explain and discuss their ideas and solutions, e.g. in the form of short presentations or code reviews

Scientific self-conception/professionalism: After completing this module, students will be able to

apply industry best practices in the field of web development, and
justify their technical solutions for typical tasks in web development

Module description:
In this module, students gain an overview of the central technologies of the web platform, which forms the basis of modern web applications. After completing the module, they will have mastered the central principles and concepts of these technologies and will be able to use them to implement small to medium-sized web applications for specific tasks.

Module structure:
The module covers the following topics:

Overview of the central concepts and technologies of the WWW and the Internet (e.g. client-server architecture, protocols and standards such as TCP, IP, DNS, URL, HTTP)
Client-side concepts and technologies for the development of web applications:
1. HTML (incl. semantics, accessibility)
2. CSS and responsive web design
3. JavaScript and browser APIs (e.g. DOM, AJAX)
Server-side concepts and technologies for the development of web applications:
1. Basic concepts: event-driven and asynchronous programming, request handling, modularization (e.g. with Node.js)
2. Structuring using model view controllers

Teaching methods

Flipped/Inverted Classroom:
- Online e-learning materials with interactive slides and videos (asynchronous self-study)
- Interactive face-to-face events for tasks and exercises based on practical examples, for additional in-depth study and for answering and discussing questions; just-in-time teaching based on accompanying questions
Project-oriented internship: project task that is worked on in teams throughout the semester
Guest lectures with experts and current topics from the industry

Participation requirements

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

Forms of examination

Written examination (scope: 100%, duration: 120 minutes); semester-related coursework (bonus points, scope: 13%)

Requirements for the awarding of credit points

Passed written exam

Applicability of the module (in other degree programs)

Bachelor of Business Informatics
Bachelor of Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual

Literature

Wolf, Jürgen (2023): HTML und CSS: Das umfassende Handbuch, 5. Auflage, Rheinwerk Computing
Bühler, Peter; Schlaich, Patrick; Sinner, Dominik (2023): HTML und CSS: Semantik - Design- Responsive Layouts, 2. Auflage, Springer Vieweg
Simpson, Kyle (2015-2020): You Don’t Know JS (Yet), Band 1-6, O’Reilly/Independently published
Haverbeke, Marijn (2020): JavaScript: Richtig gut programmieren lernen, 2. Auflage, dpunkt.verlag
Springer, Sebastian (2021): Node.js: Das umfassende Handbuch, 4. Auflage, Rheinwerk Computing
Tilkov, Stefan; Eigenbrodt, Martin; Schreier, Silvia; Wolf, Oliver (2015): REST und HTTP: Entwicklung und Integration nach dem Architekturstil des Web, 3. Auflage, dpunkt.verlag
Tanenbaum, Andrew S.; Feamster, Nick; Wetherall, David J. (2024): Computernetzwerke, 6. Auflage, Pearson Studium

Relevante Standards:

WHATWG (2025): HTML Living Standard, https://html.spec.whatwg.org/
W3C (2025): CSS Specifications, https://www.w3.org/Style/CSS/specs.html
Ecma International (2025): ECMA-262: ECMAScript® 2025 language specification, 16th Edition, https://tc39.es/ecma262/
WHATWG (2025): DOM Living Standard, https://dom.spec.whatwg.org

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

Technical and methodological competence:

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

Social skills:

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

Professional field orientation:

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

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

Teaching methods

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

Participation requirements

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

Forms of examination

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

Requirements for the awarding of credit points

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

Applicability of the module (in other degree programs)

Master's degree in Computer Science

Literature

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

IOT Systems and Services
WP

3 SWS

4 ECTS

Number
60677
Duration (semester)
1

IT-Sicherheit und Datenmanagement
WP

6 SWS

8 ECTS

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

Learning outcomes/competences

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

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

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

Teaching methods

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

Participation requirements

Formally, the requirements of the respective valid examination regulations apply

Forms of examination

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

Requirements for the awarding of credit points

Module examination must be passed

Applicability of the module (in other degree programs)

MA Electrical Engineering and Energy Systems

Importance of the grade for the final grade

5,33%

Literature

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

Innovative Beleuchtungssysteme - Qualität, Technik, Design und Digitalisierung
WP

4 SWS

6 ECTS

Number
106371
Duration (semester)
1

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

2 SWS

3 ECTS

Number
106381
Duration (semester)
1

Intelligente Antriebssysteme
WP

0 SWS

8 ECTS

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

Learning outcomes/competences

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

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

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

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

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

Teaching methods

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

Participation requirements

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

Forms of examination

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

Requirements for the awarding of credit points

Module examination must be passed

Importance of the grade for the final grade

is calculated in the course-specific handbook

Literature

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

Intelligente Energienetze
WP

3 SWS

4 ECTS

Number
60672
Duration (semester)
1

Intelligente Sensoren und Aktoren
WP

3 SWS

4 ECTS

Number
60633
Duration (semester)
1

Interaktions- und Visualisierungssysteme
WP

3 SWS

4 ECTS

Number
60634
Duration (semester)
1

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

3 SWS

8 ECTS

Number
60684
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

The students are able to apply methods,
best practices and - apply methods, best practices and software tools relevant in practice for the development of secure software.
- independently evaluate various cryptographic methods as part of a software development project and select adequate cryptographic methods on this basis.
- independently develop software that uses cryptographic methods and systematically test the software.

- Java Cryptography Architecture and API
- Legion of the Bouncy Castle Java Cryptography APIs
- Block ciphers: AES, padding, block modes, use as stream ciphers
- Stream ciphers: ChaCha20, generation of key streams
- Password-based encryption/decryption
- Key management
- Message digests, MACs, key derivation functions
- Asymmetric cryptography: RSA, DSA, ECDSA
- Post-quantum cryptography: SLH-DSA, ML-DSA, FN-DSA
- Methods for developing secure software: e.g.
- Design principles according to Saltzer and Schroeder
- Secure coding guidelines (Java)
- Secure code review with software tools
- Unit testing when using cryptography
- Best practices (OWASP Top 10, SAMM, ASVS)
- Penetration testing

The language of instruction is English.

C# can be used as an alternative to Java.

Teaching methods

- Lecture in interaction with the students, with blackboard writing and projection
- Flipped teaching (inverted classroom)
- Individual work
- Project work accompanying the lecture with final presentation

Participation requirements

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

Forms of examination

- Project-related work (100%)

Requirements for the awarding of credit points

- Successful project work

Applicability of the module (in other degree programs)

Bachelor's degree in Software and Systems Engineering (dual)
Bachelor's degree in Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual

Literature

- D. Hook und J. Eaves: Java Cryptography: Tools and Techniques, Leanpub, 2025
- F. Long, D. Mohindra, R. C. Seacord, D. F. Sutherland und D. Svoboda: Java Coding Guidelines: 75 Recommendations for Reliable and Secure Programs, Addison-Wesley Professional, 2013
- K. Schmeh: Kryptografie Verfahren - Protokolle - Infrastrukturen, 6. Auflage, dpunkt.verlag, 2016
- R. E. Smith: A Contemporary Look at Saltzer and Schroeder s 1975 Design Principles, IEEE Security & Privacy, 10(6), 20-25, 2012

Mikroelektronik
WP

6 SWS

8 ECTS

Number
60041
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

Providing basic knowledge in the field of virtualization and cloud computing. Theoretical knowledge of architectures and technologies in this area and awareness of their strengths and weaknesses in various areas of application. Consolidation of specialist knowledge using practical laboratory tasks with currently relevant cloud services and technology platforms.

Technical and methodological expertise:

Learning the relevant technical terms in the field of virtualization and cloud computing
Classification and evaluation of the various concepts and architectures
Installation and configuration of simple virtual systems with different technologies
Conception and practical setup of simple cloud services with open-source and commercial resource management systems
Overview of traditional and new areas of application for virtualization and cloud computing
Overview of current research topics and evaluation of scientific publications

Virtualization of CPU, memory and network components
Container technology
Current virtualization and container platforms
Resource management and orchestration
Current resource management and orchestration platforms
Cloud computing service models (IaaS, PaaS etc.)
New areas of application for virtualization and cloud computing (edge computing, NFV etc.)
Open source development processes and communities

Teaching methods

Lecture in interaction with the students, with blackboard writing and projection
Processing programming tasks on the computer in individual or team work
Project work accompanying the lecture with final presentation

Participation requirements

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

Forms of examination

written written examination
study achievements during the semester (bonus points)

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor's degree in Software and Systems Engineering (dual)
Bachelor's degree in Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual
Bachelor of Computer Science Dual

Literature

Thomas Erl, Zaigham Mahmood, Ricardo Puttini; Cloud Computing; Prentice Hall; 2013
K. Chandrasekaran; Essentials of Cloud Computing; CRC Press; 2015

Mixed-Signal CMOS Design
WP

0 SWS

8 ECTS

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

Learning outcomes/competences

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

Mobile Kommunikationssysteme
WP

3 SWS

4 ECTS

Number
60637
Duration (semester)
1

Nachhaltigkeit in smarten Technologien und Gesellschaft
WP

3 SWS

4 ECTS

Number
60679
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

In this module, practical problems and solutions in IT landscape planning and implementation are dealt with in a practical project.

Technical and methodological competence

Practical application of methods and procedures from systems engineering (course Web Technologies and Scripting Languages, course RuB1+2, course IT Landscape Planning and Implementation, course IT Landscape Operation and Control)
In particular, the practical application and consolidation of the techniques learned:
- Target group-oriented presentation,
- Project management (project plan, project monitoring, ...),
- Quality assurance
Application-specific use of the acquired programming language skills.
Use of selected tools that are used in the individual implementation phases.

Self-competence

The student can present ideas and proposed solutions in writing and orally, the independent presentation of solutions contributes to the development of self-confidence/professional competence

Social competence

Working in a team with self-determined influence on the processes of division of labour and the practicalization of tasks, combined with taking responsibility for certain parts of the development and conducting subject-specific discussions as an equal discussion partner in a team.

The integration internship is a course in which students are required to put basic principles, methods and procedures of system integration into practice.
The students work in a team on a project from requirements definition to delivery.
The project is carried out on site at the company
Project progress and milestones are presented to the target group at weekly project meetings attended by the specialist supervisor and the university lecturer. Minutes are taken for each meeting and added to the project documentation. In the case of cooperative projects, the weekly meetings can take place alternately at the participating partners'

Teaching methods

Internship in the company
Group work
Concluding presentation

Participation requirements

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

Forms of examination

Project work with oral examination

Requirements for the awarding of credit points

passed oral examination
successful project work

Applicability of the module (in other degree programs)

Bachelor of Software and Systems Engineering (dual)

Literature

siehe LV PK-Systemintegration, LV RuB 1+2, LV IT-Landschaft - Planung und Umsetzung, LV IT-Landschaft - Betrieb und Steuerung

Neurotechnology and Brain-Computer Interfaces
WP

3 SWS

4 ECTS

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

Projektmanagement und Projektplanung
WP

3 SWS

4 ECTS

Number
60683
Duration (semester)
1

Qualitätsmanagement
WP

3 SWS

4 ECTS

Number
60625
Duration (semester)
1

Radar Systems
WP

4 SWS

6 ECTS

Number
10420
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

Technical and methodological competence:

Students know the basics of social groups and essential categorizations of support by technical systems
Students are able to select, adapt and introduce specific systems for learning and working in groups by comparing and analyzing them
Students understand the importance and effects of IT support for groups and communities
Students design collaborative systems based on the categories, technologies and design principles covered

Interdisciplinary methodological competence:

The students apply learned concepts of group work across disciplines
Students assess the significance of cooperative systems for the IT landscape of organizations, companies and communities

Social competence:

The students work on term papers and presentations as group work and thus practise their social skills
The students examine and evaluate concrete cooperative systems in changing social constellations in work assignments in the seminar part
The students apply the concepts learned in this course on the topic of groups and the group support tools discussed

Basic concepts of cooperative systems
Basic concepts of distributed systems
Concurrency control & synchronization
Awareness and design of multi-user interfaces
Project work
Community support and social networks
Knowledge management in groups & organizations

Teaching methods

seminar-style lecture with presentations, small group work and assignments

Participation requirements

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

Forms of examination

Homework and
Presentation

oral examination

Requirements for the awarding of credit points

successful term paper and
successful presentation

passed oral examination

Applicability of the module (in other degree programs)

Bachelor of Business Informatics
Bachelor of Software and Systems Engineering (dual)
Bachelor's degree in Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science

Literature

Borghoff, U.M.; Schlichter, J.H. (1998): Rechnergestützte Gruppenarbeit - eine
Einführung in verteilte Anwendungen. Springer, 2., vollst. überarb. und erw. Aufl.
Gross, T.; Koch, M. (2007): Computer Supported Cooperative Work. München: Oldenbourg.
Haake, J. M.; Schwabe, G.; Wessner, M. (Hrsg.) (2012): CSCL-Kompendium. München: Oldenbourg Verlag, 2. Auflage.
Schwabe, G.; Streitz, N.; Unland, R. (2001): CSCW-Kompendium: Lehr- und Handbuch Zum Computerunterstützten Kooperativen Arbeiten.Heidelberg: Springer.

Reinforcement Learning
WP

3 SWS

4 ECTS

Number
60681
Duration (semester)
1

Robotic Vision
WP

6 SWS

8 ECTS

Number
60680
Duration (semester)
1

Robotics
WP

6 SWS

8 ECTS

Number
60123
Duration (semester)
1

Ruhr Master School
WP

3 SWS

8 ECTS

Number
60701
Duration (semester)
1

Ruhr Master School
WP

4 SWS

8 ECTS

Number
60704
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

Subject and methodological competencies:

Develop EER models and transfer them to relational databases
Discuss the limitations of the relational database model using examples.
Apply methods of object-relational mapping.
Explain the 5-level model of a database management system.
Explain concepts of storage and access management.
Use examples to apply the methods of access optimization and transaction management.

Social skills:

Developing, creating, communicating and presenting learning content in teams

Implementation concepts

Memory management
Logical and physical access optimization
Transaction management
Distributed databases
Performance optimization and SQL tuning

Database models

Data modeling (EER model)
Limitations of the relational model
Object-relational mapping frameworks

Teaching methods

seminar-style teaching with flipchart, smartboard or projection
Solving practical exercises in individual or team work
Internship to accompany the lecture
working on programming tasks on the computer in individual or team work
active, self-directed learning through Internet-supported tasks, sample solutions and accompanying materials
exercises or projects based on practical examples
The lecture is offered as a video
Inverted teaching (inverted classroom)

Participation requirements

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

Forms of examination

written examination paper
work during the semester (bonus points)
examinations during the semester

Requirements for the awarding of credit points

passed written exam

Applicability of the module (in other degree programs)

Bachelor of Business Informatics
Bachelor of Software and Systems Engineering (dual)
Bachelor's degree in Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual

Literature

R. Elmasri, S. Navathe, Grundlagen von Datenbanksystemen, 2009
A. Kemper, A. Eickler, Datenbanksysteme (Eine Einführung), 2015
G. Saake, K.-U. Sattler, A. Heuer, Datenbanken Implementierungstechniken, 2011
R. Niemiec, Oracle database 12c release 2 performance tuning tips & techniques, 2017
R. Panther, SQL-Anfragen optimieren, 2014

Semantik und Datenmodelle
WP

3 SWS

4 ECTS

Number
60678
Duration (semester)
1

Service orientierte Anwendungen und Dienste
WP

3 SWS

4 ECTS

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

Signals and Systems for Automated Driving
WP

4 SWS

6 ECTS

Number
10404
Duration (semester)
1

Statistik
WP

3 SWS

4 ECTS

Number
11012
Duration (semester)
1

Verteilte Energieinformationssysteme- und Anwendungen
WP

3 SWS

4 ECTS

Number
11218
Duration (semester)
1

WP anerkannt
WP

4 SWS

8 ECTS

Number
60671
Duration (semester)
1

WP anerkannt
WP

4 SWS

8 ECTS

Number
60670
Duration (semester)
1
Contact time
60 h
Self-study
90 h

Learning outcomes/competences

Technical and methodological competence:

Know the definition of a DBS and the schema architecture of a DBMS
Develop, normalize and implement relational models
Know and apply the transaction concept.
Know and apply SQL commands for setting up, storing and querying information (DDL, DML, DRL, DCL).
Perform administration of database systems by way of example.
Develop stored functions, procedures and triggers.

Social skills:

Developing, communicating and presenting relational models and database programs in teams of two
Collaboratively creating and evaluating learning posters or review questions on the course content.

Professional field orientation:

Know the requirements of different job profiles in the database environment (database administrator, database developer, application developer, data protection officer)

Database and transaction concept
Relational model, normalization and operations
SQL Data Definition Language and Database Integrity
SQL Data Manipulation Language
SQL Data Retrieval Language
SQL Views
Roles and rights management
Stored functions, procedures and triggers
Backup and recovery

Teaching methods

seminar-style teaching with flipchart, smartboard or projection
Solving practical exercises in individual or team work
Processing programming tasks on the computer in individual or team work
active, self-directed learning through tasks, sample solutions and accompanying materials
Exercises or projects based on practical examples
mini-exams during the semester for regular feedback
The lecture is offered as a video
Inverted teaching (inverted classroom)

Participation requirements

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

Forms of examination

The exam consists of two parts:

written examination paper, 60-90 minutes, accounting for 80% of the overall grade
project-related work with documentation and presentation as semester-accompanying examination performance with a share of 20% of the overall grade

Requirements for the awarding of credit points

passed examination consisting of written examination paper and project-related work, which together are assessed with an overall grade of 4.0 or better

Applicability of the module (in other degree programs)

Bachelor of Business Informatics
Bachelor of Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual

Literature

Beighley, L., SQL von Kopf bis Fuß, O'Reilly, 2008.
Kemper, A., Wimmer, M.; Übungsbuch Datenbanksysteme, Oldenbourg; 2. aktualisierte Auflage, 2009.
Saake, G., Sattler, K., Heuer A., Datenbanken - Konzepte udn Sprachen, 6. Auflage, mitp, 2018.

Wearables
WP

6 SWS

8 ECTS

Number
11208
Duration (semester)
1

Wellendigitalfilter
WP

3 SWS

4 ECTS

Number
60220
Duration (semester)
1

Wellendigitalfilter 2
WP

3 SWS

8 ECTS

Number
60663
Duration (semester)
1

Wireless Digital Communication
WP

3 SWS

4 ECTS

Number
11219
Duration (semester)
1
Contact time
72h
Self-study
168h

Learning outcomes/competences

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

2. Semester of study

Applied Embedded Systems
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

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

Skills

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

Competence - attitude

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

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

Course Structure

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

Case Studies

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

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

Teaching methods

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

Participation requirements

none

Forms of examination

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

Requirements for the awarding of credit points

Passed exam and passed semester assignments

Applicability of the module (in other degree programs)

Requires:

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

Connects to:

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

Importance of the grade for the final grade

5,00%

Literature

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

SW Architectures for Embedded and Mechatronic Systems
WP

4 SWS

6 ECTS

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

Learning outcomes/competences

Knowledge

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

Skills

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

Competence - attitude

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

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

Course Structure

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

Case Studies

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

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

Teaching methods

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

Participation requirements

programming, basics of embedded systems

Forms of examination

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

Requirements for the awarding of credit points

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

Applicability of the module (in other degree programs)

Connects to:

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

Importance of the grade for the final grade

5,00%

Literature

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

3. Semester of study

Projektarbeit 2
PF

3 SWS

6 ECTS

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

5. Semester of study

Masterstudienarbeit
PF

3 SWS

14 ECTS

Number
120
Duration (semester)
1

8. Semester of study

Thesis und Kolloquium
PF

4 SWS

4 ECTS

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

Learning outcomes/competences

After successfully completing this module, students will be able to:

Know and understand

- Define, differentiate and explain key terms and concepts of information security (including IT security, information security, protection goals, vulnerability, threat, attack, risk, security measure).
- explain the human factor and security awareness for information security.
- describe the main features of the legal and regulatory framework (including GDPR).
- explain the basics of applied cryptography, access control and authentication (including AES, hash functions, MAC, RSA/ECC, DAC, MAC, RBAC, password procedures, MFA).
- explain essential standards and best practices (including ISO/IEC 27000 series, IT-Grundschutz, OWASP) with regard to objectives and structure.

- use, apply and generate knowledge

- research and evaluate information on vulnerabilities and threats and incorporate it into security-relevant decisions.
- Apply norms, standards and best practices (e.g. ISO/IEC-27000, IT-Grundschutz, OWASP) to specific application scenarios.
- Identify assets for given systems, model threats and derive security requirements from them.
- select suitable cryptographic, access and authentication mechanisms (e.g. AES, SHA-2/-3, RSA/ECC, Argon2, MFA, NIST 800-63B) and apply them as examples.
- apply basic procedures of penetration testing and OWASP projects (e.g. Top 10, ASVS, Testing Guide) as examples.

Communication and cooperation

- Prepare risks, threats and security measures in a manner appropriate to the target group and communicate them to technical and non-technical stakeholders.
- Discuss the results of asset surveys as well as system and threat modeling in a team and jointly develop security concepts.
- coordinate security-conscious procedures in development and operational processes in a team.

Scientific self-image / professionalism

- justify security-relevant decisions taking into account legal, ethical and social aspects.
- classify their own responsibility in dealing with sensitive data and observe professional ethical principles.
- independently track relevant developments, standards and best practices and integrate them into their own professional actions.

Terminology
- IT security, information security, difference between security and safety
- System, fact, assumption, asset
- Protection objective (CIA and authentication)
- Weak point, vulnerability, threat, attack, attacker types
- Risk
- Security objective, security requirement
- Security measure
Human factor, Security awareness
Legal framework, European General Data Protection Regulation
Standards and best practices
- ISO/IEC 27000 series
- IT baseline protection
- OWASP
Applied cryptography
- Symmetric encryption (basics, AES, block modes, padding, pitfalls)
- Hash functions (types of attack, SHA-2 family, SHA-3 family), MAC
- Asymmetric cryptography (basics, DH, RSA, ECC, padding, pitfalls, digital signatures, certificates)
Access control
- Basics (DAC, MAC, RBAC, Deny by Default, Least Privilege)
- Advanced models (ABAC, ReBAC), modeling
Authentication
- Basics of authentication (Types, MFA, entropy)
- Password-based authentication (Linux password databases, types of attack, Salt, Argon2, NIST 800-63B)
- Basics of software development and information security
- Asset identification and analysis
- Threat modeling
- Best practices (OWASP Top 10, SAMM, ASVS, Testing Guide)
- Penetration testing

Teaching methods

- Lecture in interaction with the students, with blackboard writing and projection
- Solving practical exercises in individual or team work
- Practicals

Participation requirements

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

Forms of examination

- Written exam (80%)
- Internships (20%)

Requirements for the awarding of credit points

- Passed written exam
- Passed internships

Applicability of the module (in other degree programs)

Bachelor of Business Informatics
Bachelor of Software and Systems Engineering (dual)
Bachelor of Computer Science
Bachelor of Computer Science
Bachelor's degree in Medical Informatics
Bachelor of Medical Informatics Dual
Bachelor of Computer Science Dual
Bachelor of Computer Science Dual

Literature

- R. Anderson: Security Engineering: A Guide to Building Dependable Distributed Systems, 3. Auflage, John Wiley & Sons Inc., 2020
- C. Eckert: IT Sicherheit (Konzepte, Verfahren, Protokolle), 11. Auflage, De Gruyter Oldenbourg, 2023
- ISO/IEC 27000: Information technology – Security techniques – Information security management systems – Overview and vocabulary, 2018
- K. Schmeh: Kryptografie – Verfahren - Protokolle - Infrastrukturen, 6. Auflage, dpunkt.verlag, 2016

1. Semester	2. Semester	3. Semester	5. Semester	8. Semester
Digitale Signalverarbeitung 1 PF 3SWS 4ECTS	Compulsory elective modules (2)	Projektarbeit 2 PF 3SWS 6ECTS	Masterstudienarbeit PF 3SWS 14ECTS	Thesis und Kolloquium PF 4SWS 4ECTS
Digitale Signalverarbeitung 2 PF 3SWS 4ECTS
Embedded System 1 PF 3SWS 4ECTS
Embedded System 2 PF 3SWS 4ECTS
Energiesystemtechnik PF 3SWS 8ECTS
Energiewirtschaft PF 3SWS 8ECTS
Fahrzeugelektronik PF 3SWS 8ECTS
Höhere Mathematik 2 PF 3SWS 4ECTS
Höhere Mathematik 1 PF 3SWS 4ECTS
KI-Systeme 1 PF 3SWS 4ECTS
KI-Systeme 2 PF 3SWS 4ECTS
Kommunikationstechnik 1 PF 3SWS 4ECTS
Kommunikationstechnik 2 PF 3SWS 4ECTS
Projektarbeit 1 PF 3SWS 6ECTS
Theoretische Elektrotechnik 1 PF 3SWS 4ECTS
Theoretische Elektrotechnik 2 PF 3SWS 4ECTS
Compulsory elective modules (66)

Study plan

Digitale Signalverarbeitung 1

Compulsory elective modules (2)

Projektarbeit 2

Masterstudienarbeit

Thesis und Kolloquium

Digitale Signalverarbeitung 2

Embedded System 1

Embedded System 2

Energiesystemtechnik

Energiewirtschaft

Fahrzeugelektronik

Höhere Mathematik 2

Höhere Mathematik 1

KI-Systeme 1

KI-Systeme 2

Kommunikationstechnik 1

Kommunikationstechnik 2

Projektarbeit 1

Theoretische Elektrotechnik 1

Theoretische Elektrotechnik 2

Compulsory elective modules (66)

Compulsory elective modules 1. Semester

Advanced Robotic Vision

Angewandte biomechanische Messtechnik

Architekturen verteilter intelligenter Systeme

Automotive Systems

Biomedical Signal Processing

Computer Netzwerke

Computer Vision

Computer-Netzwerke 1

Computer-Netzwerke 2

Cyber Security A

Cyber Security A

Cyber Security B

Cyber Security B

Data Science und Softwareengineering 1

Data Science und Softwareengineering 2

Data-driven Development

Digital Automation and Control

Digital Design Lab

Digital Transmission Systems

Digitale Signalverarbeitung auf FPGAs

Drahtlose Sensornetzwerke / Aktornetzwerke

Elektromagnetische Feldsimulation

Elektronik 1 in der Medizintechnik

Elektronik 2 in der Medizintechnik

Embedded Systems for AI/ML

Energieübertragungstechnik

Extended Reality

Extended Reality

Extended Reality 2

Fahrzeugvernetzung

Gebäudekommunikations- und Managementsysteme

Hardware-Software-CoDesign

Hardware/Software Kodesign

IOT Systems and Services

IT-Sicherheit und Datenmanagement

Innovative Beleuchtungssysteme - Qualität, Technik, Design und Digitalisierung

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

Intelligente Antriebssysteme

Intelligente Energienetze

Intelligente Sensoren und Aktoren

Interaktions- und Visualisierungssysteme

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

Mikroelektronik

Mixed-Signal CMOS Design

Mobile Kommunikationssysteme

Nachhaltigkeit in smarten Technologien und Gesellschaft

Neurotechnology and Brain-Computer Interfaces

Projektmanagement und Projektplanung

Qualitätsmanagement

Radar Systems

Reinforcement Learning

Robotic Vision

Robotics

Ruhr Master School

Ruhr Master School

Semantik und Datenmodelle

Service orientierte Anwendungen und Dienste

Digitale Signalverarbeitung 1
PF

3 SWS

4 ECTS

Digitale Signalverarbeitung 2
PF

3 SWS

4 ECTS

Embedded System 1
PF

3 SWS

4 ECTS

Embedded System 2
PF

3 SWS

4 ECTS

Energiesystemtechnik
PF

3 SWS

8 ECTS

Energiewirtschaft
PF

3 SWS

8 ECTS

Fahrzeugelektronik
PF

3 SWS

8 ECTS

Höhere Mathematik 2
PF

3 SWS

4 ECTS

Höhere Mathematik 1
PF

3 SWS

4 ECTS

KI-Systeme 1
PF

3 SWS

4 ECTS

KI-Systeme 2
PF

3 SWS

4 ECTS

Kommunikationstechnik 1
PF

3 SWS

4 ECTS

Kommunikationstechnik 2
PF

3 SWS

4 ECTS

Projektarbeit 1
PF

3 SWS

6 ECTS

Theoretische Elektrotechnik 1
PF

3 SWS

4 ECTS

Theoretische Elektrotechnik 2
PF

3 SWS

4 ECTS

Advanced Robotic Vision
WP

6 SWS

8 ECTS

Angewandte biomechanische Messtechnik
WP

4 SWS

8 ECTS

Architekturen verteilter intelligenter Systeme
WP

3 SWS

4 ECTS

Automotive Systems
WP

3 SWS

4 ECTS

Biomedical Signal Processing
WP

6 SWS

8 ECTS

Computer Netzwerke
WP

6 SWS

8 ECTS

Computer Vision
WP

3 SWS

8 ECTS

Computer-Netzwerke 1
WP

3 SWS

4 ECTS

Computer-Netzwerke 2
WP

3 SWS

4 ECTS

Cyber Security A
WP

3 SWS

4 ECTS

Cyber Security A
WP

3 SWS

4 ECTS

Cyber Security B
WP

4 SWS

6 ECTS

Cyber Security B
WP

4 SWS

6 ECTS

Data Science und Softwareengineering 1
WP

3 SWS

4 ECTS