Simulation and System Modelling (I)
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 27.01.2026.
- Module identifier
11B1570
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
only summer term
- Duration
1 semester
- Brief description
Modeling and the various forms of representation of systems and signals are the basis for a large number of physical-technical systems in which a technical computer scientist is involved. Modern modeling languages and simulation tools are an indispensable tool for this. This module explains important basic concepts and relationships that are important for a technical computer scientist in the field of automation.
- Teaching and learning outcomes
1. modeling: introductory examples, basic concepts, basic principles of modeling, model validation, numerical aspects
2. signals and systems: Terms, classification of systems and signals, Laplace transform, dynamic behavior, transfer functions, sampling
3. continuous modeling and simulation, introduction to control loops
4. discrete modeling and simulation with applications to digital systems (e.g. networks, computing systems)
5. practical exercises
- 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 45 Lecture Presence or online - 15 Laboratory activity Presence - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 70 Preparation/follow-up for course work - 20 Presentation preparation -
- Graded examination
- Project Report, written or
- Written examination or
- Project Report, medial
- Ungraded exam
- Field work / Experimental work
- Remark on the assessment methods
Graded examination performance at the discretion of the teacher
- Exam duration and scope
Graded examination:
- Project report (written): 7–12 pages
- Written examination: see applicable study regulations
- Project report (media-based): 5–10 pages
Ungraded examination:
- Experimental work: Experiment: approx. 5 experiments of 90 minutes each
- Recommended prior knowledge
Knowledge of the following areas is required for successful participation:
- Real functions
- Differential and integral calculus
- Differential equations
- Knowledge Broadening
Students have a broad knowledge of modeling, mathematical description, simulation and the properties of systems and signals.
- Knowledge deepening
Students have detailed knowledge of modeling and simulation of physical technical systems. Students have an overview of simulation-based development methods. They are familiar with some modeling languages and simulation tools as examples.
- Application and Transfer
Students can model and analyze simple technical systems. They can use block diagram-oriented simulation tools. They are familiar with advanced simulation tools and modeling languages and their areas of application.
- Literature
Bossel, Hartmut: Systeme, Dynamik, Simulation: Modellbildung, Analyse und Simulation komplexer Systeme. Vieweg.
Bungartz,Hans-Joachim (et. al.): Modellbildung und Simulation: Eine anwendungsorientierte Einführung. Springer.
Junglas, Peter: Praxis der Simulationstechnik - Eine Einführung in signal- und objektorientierte Methoden. Harri Deutsch.
Werner, Martin: Signale und Systeme. Vieweg+Teubner.
- Applicability in study programs
- Computer Science and Computer Engineering
- Computer Science and Computer Engineering B.Sc. (01.09.2025)
- Person responsible for the module
- Gervens, Theodor
- Teachers
- Gervens, Theodor
- Eikerling, Heinz-Josef
- Rehm, Ansgar