Simulation Technology
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 01.10.2025.
- Module identifier
11B1810
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
only winter term
- Duration
1 semester
- Brief description
The Simulation Technology module offers students an introduction to the world of mathematical simulation of technical systems. The aim of this module is to introduce students to the theoretical concepts and practical applications of simulation in order to understand, analyze and optimize complex processes.
During the course of the module, students will be familiarized with various simulation methods and techniques, including continuous and discrete simulation as well as stochastic models. They learn to develop mathematical models for real systems and to test them in virtual environments using simulation software.
The skills in simulation technology acquired in the module are of great importance for engineers in various disciplines. The ability to model and analyze complex systems virtually contributes to making well-founded decisions, using resources efficiently (sustainability) and developing innovative solutions. The module therefore forms an important basis for the practical application of simulation techniques in various engineering disciplines.
- Teaching and learning outcomes
- Introduction to simulation technology
- Definitions of terms
- Types of models
- Purpose of models
- Model validation
- Virtual product development
- Simulation of continuous-time systems
- Equation-based models
- State space representation
- Behavior-describing models
- Physical modeling
- Numerical integration methods
- Integration methods for ordinary differential equations
- Integration methods for partial differential equations
- Simulation of discrete-time systems
- Time-controlled systems
- Event-driven systems
- Event-driven stochastic systems
- Developments in simulation technology
- Virtual commissioning
- Virtual reality / augmented reality
- Simulation technology and sustainability
- Various laboratory exercises supplement and deepen the material covered in the lecture
- Introduction to simulation technology
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 15 Laboratory activity Presence - 45 Lecture Presence - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 60 Preparation/follow-up for course work - 15 Exam preparation - 15 Study of literature -
- Graded examination
- oral exam or
- Written examination
- Ungraded exam
- Field work / Experimental work
- Remark on the assessment methods
Oral examination or written examination of the lecturer's choice.
- Exam duration and scope
- Oral examination: see general part of the examination regulations
- Written examination: see current study regulations;
- Experimental work: A total of approx. 5 experiments (90 minutes each)
- Recommended prior knowledge
Basic knowledge of mathematics is required.
- Knowledge Broadening
Students who complete the "Simulation Technology" module expand their knowledge of the basic concepts and techniques of simulation. They learn about different types of models and validation methods in order to analyze and understand complex systems. In addition, they are familiarized with current developments such as virtual product development, virtual reality and sustainability aspects. Through practical exercises and applications in various areas, they gain valuable experience for their professional future.
- Knowledge Understanding
Students who have completed the "Simulation Technology" module have a sound understanding of the basic concepts, methods and applications in simulation technology. They are able to distinguish between different types of models, create and validate models and carry out simulations of continuous-time and discrete-time systems. In addition, they understand the importance of virtual product development, virtual reality and sustainability aspects in the context of simulation technology.
- Application and Transfer
Students who have successfully completed the "Simulation Technology" module can apply and transfer the knowledge and skills they have acquired in various areas. They are able to analyze complex systems, develop models and carry out simulations to address real-world problems. Their understanding of virtual product development, virtual reality and sustainability aspects enables them to develop innovative solutions and collaborate effectively with interdisciplinary teams.
- Literature
- Ludewig, Nora / Völter, Markus: "Modellkompetenz für Wissenschaft und Technik", Hanser, 2022
- Waldmann, Karl-Heinz / Helm, Werner: Simulation stochastischer Systeme", Springer Gabler, 2016
- Junglas, Peter: "Praxis der Simulationstechnik", Europa-Lehrmittel, 2014
- Haußer, Frank / Luchko, Yuri: "Mathematische Modellierung mit MATLAB und Octave", Springer Spektrum, 2019
- Acker, Bernd: "Simulationstechnik", Expert Verlag, 2020
- Lambert, Lutz: "Mechatronische Systeme", De Gruyter Oldenbourg, 2022
- Glöckler, Michael: "Simulation mechatronischer Systeme, Springer Vieweg, 2018
- Eigner, Martin / Roubanov, Daniil / Zafirov, Radoslav: "Modellbasierte virtuelle Produktentwicklung", Springer Vieweg, 2014
- Applicability in study programs
- Electrical Engineering in Practical Networks (dual)
- Electrical Engineering in Practical Networks (dual) B.Sc. (01.03.2026)
- Electrical Engineering
- Electrical Engineering B.Sc. (01.09.2025)
- Person responsible for the module
- Lampe, Siegmar
- Teachers
- Lampe, Siegmar