- a.k.a. GEISTa Reguły Interakcji ze Studentami: here (currently only in Polish)

Current lists of courses taught can be found in the JU USOSweb system:

• prof. dr hab. inż. Grzegorz Nalepa: USOSweb
• dr inż. Szymon Bobek: USOSweb
• dr inż. Krzysztof Kutt: USOSweb

Details of the content and credit rules for each course can be found in the JU Sylabus.

A didactic laboratory established in 2021 at the Jagiellonian University under the project HAL2021: Human-AI Laboratory (ArsDocendi UJ; project number: 37.2020).

The laboratory includes the equipment needed to conduct practical laboratory classes focusing on modern methods of human-machine interaction based on artificial intelligence methods. In particular, the laboratory is equipped with:

• 3x biosignalsplux Explorer physiological signal measurement kits
• Hardware acceleration modules for AI: 2x Groove AI Hat (for Raspberry Pi), 2x Intel Neural Compute Stick 2 (with USB interface), 4x Google Coral Dev Board (standalone boards)
• 4x Raspberry Pi 4B minicomputers
• 5x Android phones with NPU module dedicated to machine learning and with ARcore SDK support for augmented reality solutions (XIAOMI Mi 10 Lite 5G 6/128 GB)
• 2x 1TB external drives for data collected in experiments

Equipment from the lab is used in the following courses, among others:

• AI workshop I & II (WFAIS.IF-XG322.0, WFAIS.IF-XG324.0)
• Psycho-physiological signal analysis workshop (WFAIS.IF-X218.0)
• Ambient Intelligence Systems (WFAIS.IF-XG323.0)
• Data Mining workshop (WFAIS.IF-X217.0)