• know the development process for vehicle electronics according to the V-model and can describe and apply it in its individual phases.
are able to identify, analyze and document requirements at vehicle, system and component level.are able to use basic methods and tools of requirements management (requirements engineering) in vehicle development.are able to apply the relevant methods and tools in the various phases of the development process and critically evaluate their advantages and disadvantages
• are able to understand the entire development process for vehicle components and assess its application in practice
• are able to apply the principles and methods of verification and validation in vehicle development and explain their significance in the development process.

• Development process according to the V-model
• Basics of requirements management
• Sample phases in the development process
• Use of virtual methods and tools
• Methods of verification and validation
• Discussion of the advantages and disadvantages

• Seminar-style lecture

• Krüger, Manfred: Grundlagen der Kraftfahrzeugelektronik. Schaltungstechnik. 4. Auflage, Hanser Verlag. 2020
• Bosch: Kraftfahrtechnisches Taschenbuch. VDI-Verlag

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

• A non-programmable calculator

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

• comprehensively familiarize themselves independently with complex topics in vehicle drive technology.
analyze selected technical principles of different drive systems and their components in detail.to independently develop solutions to selected problems.
• carry out necessary simulations, hardware developments or experimental investigations.
prepare, present and critically discuss results in a structured manner.Research specialist literature independently and apply it in a well-founded manner.

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

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

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

• Pocket calculator
• A collection of formulas will be provided
.

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

• have the ability to describe signals and systems in the original and time domain.
know methods for system analysis and can apply these to LTA systems.have the ability to use common software tools for modeling and simulation.acquire the competence to design systems and evaluate simulation results 
• 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

• No restriction, except for digital devices

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

• 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

• Pocket calculator

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

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

• 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

• 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

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

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

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

• 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

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

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

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

• 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

• 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

• Pocket calculator

• 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

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

• Pocket calculator
• A collection of formulas will be provided
.

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

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

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

• have expanded and supplemented their basic understanding of mechanics.
master the qualified use of mechanics in the context of design processes.have an understanding and mastery of corresponding industry-standard software packages.practice independently and purposefully modeling for the treatment of constructive tasks.have an understanding of problem-oriented procedures for solving design tasks.are able to evaluate calculations in terms of reliability and effort.have the qualification for activities in the field of calculation and design/manufacturing.

• 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)

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

• 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

• 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

• 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

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

• 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

1. Introduction
2. Real-time Embedded Systems
3. Real-Time Networking
4. Cloud Computing
5. Edge Computing

• 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

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

• 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

• 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

• 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

• 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

Formal: -
Knowledge and Competencies: -

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

Successful completion of examination, scientific paper and presentation

Digital Transformation (MSc)

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

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

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

• 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

• 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

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

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

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

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

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

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

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

• 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

• 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

• 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

• 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

1. 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
2. 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)
3. Virtual prototypes and HW/SW co-verification
4. Tools and Tool Chains
5. New Trends: Multicore/Manycore, SoC, 3D, MEMS

• 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

• 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)

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

• 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

• MOD-E08 - SoC Design

• MOD2-03 - R&D Project Management

• 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

• Knows standards and platforms for computer and robotic vision
• Knows cameras, components, target systems
• Has acquired overview of algorithms and methods

• 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

• 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

• 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

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

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

• 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 

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

• 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

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

• 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

• 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

1. Characteristics of Embedded (and real-time) Systems
2. Motivation for Architectures for Embedded and Mechatronic Systems
3. Software Design Architecture for Embedded and Mechatronic Systems
4. Patterns for Embedded and Mechatronic Systems
5. Real-Time Building Blocks: Events and Triggers
6. Dependable Systems
7. Hardware's Interface to Embedded and Mechatronic Systems
8. Layered Hierarchy for Embedded and Mechatronic Systems Development
9. Software Performance Engineering for Embedded and Mechatronic Systems
10. Optimizing Embedded and Mechatronic Systems for Memory and for Power
11. Software Quality, Integration and Testing Techniques for Embedded and Mechatronic Systems
12. Software Development Tools for Embedded and Mechatronic Systems
13. Multicore Software Development for Embedded and Mechatronic Systems
14. Safety-Critical Software Development for Embedded and Mechatronic Systems

• 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

• 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

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

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

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

• 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

• 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

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

• 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

1. State Variable Models
2. State Feedback Control Systems
3. Robust Control Systems
4. Digital Control Systems
5. Applications of the above
6. Control Engineering with Matlab/Simulink

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

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

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

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

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

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

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

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

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

• MOD1-01 - Mathematics for Controls & Signals

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

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

• 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

• 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

• 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

• 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

• 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  

• 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

• 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

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

• 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.

• 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.

• 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).

• 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.

1. Short repetition of the Bachelor material on software design (e.g. design patterns according to Gamma et al., Separation of Concerns, layered architecture)
2. 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)
3. Characteristics and patterns of modern architectural styles (e.g. modular architectures, event-based architectures, microservice architectures)
4. Model-driven design, development and reconstruction of software architectures

• 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

• MOD1-02 Software Architectures
• MOD1-03 Digital Systems 1

• 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

• 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.)

• 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

• 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

• Motivation
• Definition of usability engineering

• Usability engineering processes
• Integration into IT projects
• Potential conflicts
• Communicating Usability

• Analyzing context of use
• Requirements management
• Concepts
• Evaluation

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

• 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

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