Simulation Methods in Mechanical Engineering

Lecturer: Prof. Alexander Mitsos, Prof. Marek Behr
Lectures: 3 hrs
Tutorials: 3 hrs
Study substitutes (Tutorial): The event Simulation Technology (Laboratory) is funded from quality improvement funds. Further information regarding the use of quality improvers in the Faculty of Mechanical Engineering can be found on the website of the Faculty of Mechanical Engineering.
Course schedule: Please get them from the course calendar RWTH Online
Lecture notes: Available on Moodle
Semester: Summer term
Language: German
Exam: Written Exam
Lecture evaluation: Lecture, tutorials and practical training
Consultation hours:

Please contact professors by appointment or email

Please contact AVT assistants by appointment ()


The lecture Simulation Methods conveys basic skills for an independent solution of simulation problems in the field of mechanical engineering under consideration of recent methods from Computational Engineering and Data Science. This includes both the formulation of mathematical models and the application of numerical solution methods for the dynamic simulation of system responses. To this end, the lecture introduces basic mathematical formulations for dynamic system behavior, such as concentrated systems, distributed systems, discrete systems and discrete-continuous systems. In addition to that, methods for a systematic modeling are introduced. In particular, it is shown that the modelling of problems from different engineering fields leads to mathematically similar models. Both mechanistic and data-driven models are discussed. Furthermore, methods for estimating unknown model parameters are presented. The course also teaches the basics of systems theory, which allows for a theoretical analysis of the models. Finally, numerical methods for solving ordinary and partial differential equations are discussed. Their practical application to the solution of exemplary problems in engineering contexts using the computer programs Dymola and Matlab is shown in the corresponding exercises. The lecture is divided into two parts and is offered jointly by AVT and CATS. The AVT part focuses on concentrated systems, while the CATS part is concerned with distributed systems.