Résumé de section

  • General information

    Tout replier Tout déplier

    The Institute of Pervasive Computing offers courses in Computer Science for Bachelor, Master and PhD studies. You can always contact our teaching team via email.

    Please register in KUSSS for courses and lecture exams.


    Institutsloge


  • Courses we offer in winter term 2026/27.

    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, 2026W
        • on campus at JKU Linz, distance participation via zoom, attendance not required
      • 340.310-3, UE Algorithmen und Datenstrukturen 2, Markus Jäger, 2026W
        • on campus at JKU Linz, Java, no distance participation, attendance not required
      • 340.320-33, UE Algorithmen und Datenstrukturen 2, M. Waleed Khan et al., 2026W
        • on campus at JKU Linz, Python, distance participation via zoom, attendance not required

    • Practical Work in AI - study guide: PR 340912
      • 340.912, PR Practical Work in AI, Alois Ferscha et al., 2026W
        • on campus at JKU Linz, no distance participation, attendance required

    Master

    • Pervasive Computing:
      • Systems and Environments - study guide: VL 340500, UE 340510-513
      • Design and Development - study guide: VL 340600, UE 340610-613
      • 340.500, VL Pervasive Computing: Systems and Environments, Alois Ferscha, 2026W
        • on campus at JKU Linz, distance participation via zoom, attendance not required
      • 340.600, VL Pervasive Computing: Design and Development, Alois Ferscha, 2026W
        • on campus at JKU Linz, distance participation via zoom, attendance not required
      • 340.510-13/610-13, UE Pervasive Computing: Systems and Environments / Design and Development, Denzler/ Tretiak, 2026W
        • on campus at JKU Linz, no distance participation, attendance required, both courses should be done in the same term.

    • 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, 2026W
        • on campus at JKU Linz, no distance participation, attendance required, both courses should be done in the same term.

    • 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

    PhD
    • PhD Seminar Computer Science: SE 340001
      340.001, SE Dissertantenseminar Informatik, Alois Ferscha / Andreas Riener, 2026W