GEIST Teaching

GRIS

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

Courses

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.

Human-AI Laboratory (HAL)

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

Array Array Array Array Array Array 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)