Modeling and Simulation
Certificate Course - Mobility Systems Engineering - MSE.1.4.I26
| Date | Nov 20 - 24, 2026 |
| Duration | 3 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 2,050€ |
Fundamentals
Understand virtual prototypes, SysML modeling, and core concepts of system modeling, including causal and noncausal approaches.
Technology
Apply modeling tools, SysML, and simulation techniques to build virtual prototypes and implement system models for analysis.
Applications
Develop and validate virtual prototypes using system identification, least squares, and neural networks for simulation-based engineering.
What you'll explore
- Explore the fundamentals of virtual prototype design and system modeling
- Understand SysML and its role in defining requirements and system structure
- Learn the difference between causal and noncausal modeling techniques
- Study how physical systems are translated into mathematical models
- Analyze simulation tools used for virtual system implementation
- Learn parameter estimation using least squares methods
- Explore artificial neural networks for model training and prediction
- Apply system identification techniques in engineering contexts
Your key takeaways
- Understanding of virtual prototypes and system modeling principles
- Ability to use SysML for system requirements and design representation
- Knowledge of causal vs noncausal modeling approaches
- Skills in building and simulating system models
- Competence in parameter estimation and system identification methods
- Practical experience using simulation tools for virtual engineering systems
Taught by recognized experts in Modeling and Simulation
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Prof. Dr.- Ing. Sören Hohmann
Prof. Dr.-Ing. Sören Hohmann is Director and Head of the Institute of Control and Systems Engineering at Karlsruhe Institute of Technology (KIT). His work focuses on control theory, cyber-physical systems, and dynamic system optimization, bridging advanced theoretical methods with real-world engineering applications. After earning his PhD in nonlinear discrete-time control, he held leadership roles at BMW in active safety system development before joining KIT in 2010. Today, he leads interdisciplinary research and teaching in mechatronic systems, automation, and human–machine interaction, shaping next-generation intelligent control technologies.
Prof.Dr.- Ing. Mike Barth
Prof. Dr.-Ing. Mike Barth is Professor for Networked Secure Automation at KIT’s Institute of Control Systems (IRS). His research focuses on Industry 4.0, cyber-physical systems and model-based automation. Previously Professor at Pforzheim University, he developed blended-learning concepts, digital engineering labs and a master’s program in mechatronic systems with industry collaboration. Earlier he worked at ABB Research and earned his PhD on automatic generation of simulation models for control system testing. He contributes to international automation and control engineering committees.
Who should attend
This course is particularly beneficial for professionals in the following fields
- Mobility systems and automotive engineering professionals Engineers working on embedded systems, vehicle electronics, autonomous driving, and mobility technologies, focusing on system design, integration, and validation.
- Embedded systems and systems engineering specialists
Developers and engineers involved in model-based design, hardware/software co-design, real-time systems, and safety-critical electronic control systems. - Software, control, and simulation engineers in mobility applications
Professionals working with simulation, modeling, hardware-in-the-loop testing, and rapid control prototyping for complex technical systems. - Data, AI, and digital engineering specialists in mobility
Engineers and scientists applying data-driven methods, optimization, and computational tools to automotive and mobility system development. - Researchers and early-career academics
Master’s students, PhD candidates, and researchers in engineering, computer science, or mobility systems focusing on embedded systems, system architecture, and model-based engineering.
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.