Our goals for teaching are to provide robotics and computer science literacy to a broad spectrum of students, starting from high school students to whom we offer our exciting educational and entertaining robotics activities. In more detail, our courses include:

Undergraduate Education: Introduction to Computer Science I and II, Seminars on different topics, related exercises, labs.

Graduate Education: Robotics, Real-time Systems, Machine Learning, Computer Vision, Digital Signal Processing, and more.

Ph.D. Programs: There is a multitude of opportunities for students to pursue their degree, both in funded programs and on regular staff positions.

Interested students may also have a look at our list of open thesis proposals.

Courses

Winter term 2023/24

TypeTitleLecturer (assistant)DatesDuration
VIAdvanced Deep Learning for Robotics (IN2349)
  • B. Bäuml [L]
Link4
SEDoctoral Seminar - Robotics (IN2137)Link2
VOEmbedded Networked Systems (BSc. Engineering Science) (IN8014)Link3
VIFormal Methods for Cyber-Physical Systems
  • M. Althoff [L]
  • P. Gassert
  • T. Ladner
  • L. Lützow
  • L. Schäfer
  • M. Wetzlinger
Link4
VIFundamentals of Artificial Intelligence (IN2406)
  • M. Althoff [L]
  • J. Külz
  • F. Lercher
  • L. Lützow
  • S. Mair
Link5
VIIntroduction to Mobile Robotics (CIT3330000)Link5
PRMaster Lab Course - Advanced Roboy Student Team (IN2106, IN4218)Link6
PRMaster practical course - Micromouse: Designing an Educational Racing-Robot from Scratch (IN2106, IN4235)Link6
SEMaster your thesis (Überfachliche Grundlagen) (IN9036)Link2
PRMasterpraktikum - Deep Learning in Robotics (IN2106, IN4354)
  • B. Bäuml [L]
  • F. Süberkrüb
Link6
PRMasterpraktikum - Machine Learning for Smart Grids (IN2106, IN4342)
  • M. Althoff [L]
  • M. Eichelbeck
  • H. Markgraf
Link6
PRMasterpraktikum - Reinforcement Learning and Benchmarking for Modular Robots (IN2106, IN0012, IN4355)
  • M. Althoff [L]
  • J. Külz
  • M. Mayer
  • J. Thumm
Link6
PRMasterpraktikum - Simulation-Based Autonomous Driving in Crowded City (IN2106, IN4348)Link6
PRMasterpraktikum - Simulation-Based Machine Learning in Robotics (IN0012, IN2106, IN4328)Link6
SEMasterseminar - Representation of Tasks, Actions, and Skills in Robotics (IN2107, IN45025)Link2
SEMasterseminar - Roboy Research Seminar (IN2107, IN4890)Link2
VOMethods for Business Administration (74312)Link2
PRPraktikum - Motion planning for autonomous vehicles (IN2106, IN0012, IN4221)
  • M. Althoff [L]
  • S. Licklederer
Link6
PRPraktikum - Roboy Student Team (IN0012, IN2106, IN4188)Link6
PRPraktikum - Verification, Controller Synthesis, and Design of Cyber-Physical Systems (IN0012, IN2106, IN4269)
  • M. Althoff [L]
  • A. Kulmburg
  • T. Ladner
  • F. Lercher
  • L. Lützow
  • L. Schäfer
  • M. Wetzlinger
Link6
VOPrinciples of Computer Vision (IN2133)Link3
VOReal-Time Systems (IN2060)Link3
UEReal-Time Systems, Exercise Session (IN2060)Link2
VIRobotics (IN2067)Link5
SESeminar - Cyber-Physical Systems (IN0014, IN2107, IN4813)
  • M. Althoff [L]
  • P. Gassert
Link2
VITechniques in Artificial Intelligence (IN2062)
  • M. Althoff [L]
  • J. Külz
  • F. Lercher
  • L. Lützow
  • S. Mair
Link4
VOTrustworthy Machine Learning Systems (CIT4330017)Link2
VIVirtual Physics: Using Modern Modeling Methodologies for Computer Simulation
  • D. Zimmer
Link3

Summer term 2024

TypeTitleLecturer (assistant)DatesDuration
VIAdvanced Deep Learning for Robotics (IN2349)Link4
VOAutonomous Driving (IN2356)Link2
VICognitive Systems (IN2222)Link4
VICyber-Physical Systems (IN2305)
  • M. Althoff
  • F. Finkeldei
  • H. Markgraf
  • C. Tang
Link5
SEDoctoral Seminar - Robotics (IN2137)Link2
VOGems of Informatics 2 (IN2149)
  • M. Althoff
  • S. Licklederer
Link2
VIIntroduction to digital signal processing (IN2061)Link6
PRMaster practical course - Micromouse: Designing an Educational Racing-Robot from Scratch (IN2106, IN4235)Link6
SEMaster your thesis (Überfachliche Grundlagen) (IN9036)Link2
PRMasterpraktikum - Machine Learning for Smart Grids (IN2106, IN4342)
  • M. Althoff [L]
  • M. Eichelbeck
  • O. Hausdörfer
  • H. Markgraf
Link6
PRMasterpraktikum - Reinforcement Learning and Benchmarking for Modular Robots (IN2106, IN0012, IN4355)
  • M. Althoff [L]
  • J. Külz
  • M. Mayer
  • J. Thumm
Link6
PRMasterpraktikum - Robotic Manipulation via Reinforcement Learning (IN2106)Link6
PRMasterpraktikum - Simulation-Based Machine Learning in Robotics (IN0012, IN2106, IN4328)Link6
PRMasterpraktikum - Verification, Controller Synthesis, and Design of Cyber-Physical Systems (IN2106,IN4269)
  • M. Althoff [L]
  • L. Koller
  • A. Kulmburg
  • T. Ladner
  • F. Lercher
  • L. Lützow
  • L. Schäfer
Link6
PRPraktikum - A Hands-on Introduction to Deep Reinforcement Learning (IN2106, IN0012)
  • M. Althoff [L]
  • O. Hausdörfer
  • H. Markgraf
Link6
PRPraktikum - Autonomous Driving (IN2106, IN0012)Link6
PRPraktikum - Motion planning for autonomous vehicles (IN2106, IN0012, IN4221)
  • M. Althoff [L]
  • S. Licklederer
  • S. Licklederer
Link6
VIRobot Motion Planning (IN2138)
  • M. Pavlic
Link4
SESeminar - Locomotion control of Legged Robots (IN2107)Link2
SESeminar - Sensor Systems in Robotics (IN2107, IN4401)Link2
SESeminar Course Cyber-Physical Systems (IN0014, IN2107, IN4813)
  • M. Althoff [L]
  • P. Gassert
Link2