Courses we offer in winter term 2025/26.

Bachelor

• Algorithms and Data Structures 2 - study guide: VL 340300, UE (CS, Java) 34031x, UE (AI, Python) 34032x
  • 340.300, VO Algorithmen und Datenstrukturen 2, Alois Ferscha, 2025W
  • 340.310-3, UE Algorithmen und Datenstrukturen 2, Markus Jäger, 2025W 
  • 340.320-30, UE Algorithmen und Datenstrukturen 2, Miguel Vazquez Pufleau et al., 2025W
• Practical Work in AI - study guide: PR 340912
  • 340.912, PR Practical Work in AI, Alois Ferscha et al., 2025W

Master

• Pervasive Computing:
  • Systems and Environments - study guide: VL 340500, UE 340510
  • Design and Development - study guide: VL 340600, UE 340610
  • 340.500, VL Pervasive Computing: Systems and Environments, Alois Ferscha, 2025W
  • 340.600, VL Pervasive Computing: Design and Development, Alois Ferscha, 2025W
  • 340.510/610, UE Pervasive Computing: Systems and Environments / Design and Development, Patrick Denzler, 2025W
• Seminar and Practical Work in AI (Master)
  • Seminar in AI (Master) - study guide: 340940 
  • Practical Work in AI (Master) - study guide: 340930 
  • 340.930/40, PR / SE in AI (Master), Alois Ferscha / Patrick Denzler, 2025W
• Master's Thesis Seminar
  • Master's Thesis Seminar WS (for CS) - study guide: SE 340020
  • Master's Thesis Seminar (for AI) - study guide: SE 340920
  • 340.020/920, SE Master's Thesis Seminar / WS, Alois Ferscha, 2025W