Practical Courses and Seminar Courses

This information only applies to courses with the numbers IN0012, IN0014, IN2106, IN2107, IN2128, IN2129, IN2130, IN2131, IN2396, IN2397. Not for any other courses even though announced as "seminar" course or "practical course".

The registration for practical courses and seminar courses is not possible via TUMonline, but only through participating in the matching system. All necessary information can be found on

The matching of seminar and practical course places for the winter term 2022/23 is completed.

You can find a list of the remaining places if you change the language of the website to German. If you are interested in one of the remaining places, please contact all indicated supervisors of the respective course directly.

Only if you do not get a place this way and urgently need a place in a seminar or practical course in the coming summer semester, please contact Prof. Leutenegger ( between August 18th and September 2nd by email with the subject "Seminar/ practical course place required".
Please describe your situation and enclose the emails to the person responsible for the course and the answers you received. Please understand that we can only consider your requests if the desired course is a compulsory course in your study plan.


(IN0014, IN2107, SOT82509) Corporate Digital Responsibility:Teilnahme an der CDR Challenge von der Initiative D21
Master-Seminar - Digital Transformation (IN2107, IN2396, IN4831)
Master Seminar 3D Vision (IN2107, IN4911)
Master-Seminar - Modern Computer Vision Methods (IN2107)
Master-Seminar - Scientific Methods in Information Systems (IN2107, IN4439)
Advanced Seminar Large-Scale Graph Processing and Graph Partitioning (IN2107, IN4435)
Advanced Seminar Blockchain Technologies (IN2107, IN4909)
Advanced Seminar Blockchain Technologies (IN2107, IN4909)
Master Seminar - Neural Radiance Fields (IN2107)
(IN0014, IN2107, IN4906_4) Praxisworkshop Datenschutz für StartUps
Seminar: Operating Systems and Virtualization (IN2107)
Master-Seminar: Digitale Plattform als Motor der Digitalisierung in der Verwaltung (IN2107)
Seminar - Trends der Wirtschaftsinformatik (IN0014, IN2107, IN4923)
Master Seminar: Federated Learning for Industrial Processes (IN2107)
Seminar: Secure and Reliable Systems (IN2107)
Seminar Cyber-Physical Systems (IN0014, IN2107, IN4813)
Seminar - Selected Topics of Secure Operating Systems  (IN0014, IN2107)
Seminar - Mini Conference on Inverse Problems in Imaging (IN0014, IN2107)
 IN2107 Optimal control and Reinforcement Learning for Robotics
Master-Seminar - Causality and Machine Learning (IN2107)
Advanced Seminar on Safe Cyber-Physical Systems (MW2400, IN2107)
Seminar Internet Computing (IN2107)
Master-Seminar: Wireless Internet Communication (IN2107, IN4449)
Seminar - Networks in the Sky (IN2107)
Master-Seminar - Theoretical advances in deep learning (IN2107, IN4409)
Masterseminar - E/E Architecture Configuration in Autonomous Driving  (IN2107, IN4444)
Seminar: Deep Medical Anomaly Segmentation (IN0014, IN2107)
Master-Seminar - Recent Advances in Model Checking (IN2107, IN4759)
Seminar - Scientific Methods in Information Systems (IN0014, IN4440)
Master-Seminar - Beyond Deep Learning: Selected Topics on Novel Challenges (IN2107, IN4408)

[Translate to en:]

Masterpraktikum - Robotics Intelligence Lab Course (IN2106)
Praktikum - Spezifikation und Verifikation (IN0012, IN2106, IN4035)
Praktikum - Fusion of Quantum Computing and Compiler Design (IN0012, IN2106)
IN2106 Cybathlon Challenge: Task Control & User Experiments
Praktikum - Deep Learning für Computer Vision und Biomedizin (IN0012, IN2106, IN4204)
Advanced Practical Course - Message Correlation and Inter-Instance/Process Communication in Process Aware Information Systems (IN2106, IN2130)
Masterpraktikum: Applied Locomotion and Full-Body Control on Elastic Quadrupeds (IN2106)
Praktikum - Static Analysis: Automated Bug Hunting and Beyond (IN0012, IN2106)
IN2106 Dodo Alive! - Resurrecting the Dodo with Robotics and AI: Hardware & Design
Praktikum - Interactive Learning (IN0012, IN2106, IN2175, IN4234)
IN2106 Intelligent Machine Programming Lab
IN2106 Intelligent Machine Design Lab: Advanced System Design
IN2106 Dodo Alive! - Resurrecting the Dodo with Robotics and AI: Simulation & Control
Masterpraktikum - Advanced Roboy Student Team (IN2106, IN4218)
Masterpraktikum - Vehicle E/E Architecture Synthesis (IN2106)
Praktikum - Verification, Controller Synthesis, and Design of Cyber-Physical Systems (IN0012, IN2106, IN4269)
Master-Praktikum - Praktikum der mobilen Robotik (IN2106, IN4306)
Practical Course: Deep Learning for 3D Perception (IN2106, IN4319)
Master-Praktikum: Artificial limbs - Design and control (IN2106)
Master Practical Course - Legal Data Analysis Lab (IN2106, IN4316)
Praktikum: Computer Systems Lab (IN2106)
Master-Praktikum-Visuelle Navigation (IN2106, IN4174)
IN2106 Praktikum Robot Modelling and Identification
Masterpraktikum - Micromouse: Designing an Educational Racing-Robot from Scratch (IN2106, IN4235)
Praktikum - Erstellung von Deep-Learning-Methoden (IN0012, IN2106, IN4292)
Praktikum - Roboy Student Team (IN0012, IN2106, IN4188)
Masterpraktikum - Simulation-Based Machine Learning in Robotics (IN0012, IN2106)
Praktikum - Project Management and Software Development for Medical Applications (IN2106, IN4136)
Master-Praktikum - Distributed Data Mining Lab Course (IN2106, IN4176)
IN2106 Cybathlon Challenge: Mechanism Design & Control
Master-Praktikum - Supportive Process Automation and Worker Assistance (IN2128, IN2106)
Master Practical Course: Computer Network Simulation (IN2106)
Master Practical Course: Computer Network Simulation (IN2106)
Bachelor-Praktikum - Scientific Computing (PSE) Molekulardynamik (IN0012, IN4229)


Log in to TUMonline and select "Courses" in the Study & Courses section, then select the semester. Enter the IN number of the desired course as the search term (e.g. IN0014 for Bachelor seminars, IN2107 for Master seminars, IN0012 for Bachelor practical course, IN2106 for Master practical course).
Example for search for all Bachelor seminars:

Please respect the Student Code of Conduct.