• Usage of the content tought in the lectures
• Design and implementation of parts of a cyber-physical system
• Introduction to robotics

Accompanies the course Cyber-Physical Systems Engineering: Stochastic Foundations VO. The theoretical knowledge obtained in the lecture will be practiced in exercises.

• Exercises (incl. theoretical and programming exercises, simulation, application on real-world mobile robots)
• Probabilistic systems (introduction to cyber-pyhsical systems)
• Bayes Nets
• State Estimation (e.g., Kalman Filter, Particle Filter)
• Decision Making

ECTS-Breakdown: 3 ECTS = 75 Hours

• 72h exercises
• 1h exercises discussion
• 2h exercises discussion/delivery talks

Change in study plan: -> Stochastic Foundations of Cyber-Physical Systems

• Submitted exercises
• Delivery talks of practical exercises

Registration to the course via TISS. You will be added to the TUWEL course, where the rest of the course will be organized.

• S. Russel and P. Norvig, Artificial Intelligence - A Modern Approach, 3rd ed., Upper Saddle River, New Jersey: Pearson Education, 2010.