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====== GEIST Teaching ======

===== GRIS =====
 - a.k.a. GEISTa Reguły Interakcji ze Studentami: [[:pub:teaching:gris|here]] //(currently only in Polish)//

===== Courses =====

Current lists of courses taught can be found in the JU USOSweb system:
  * [[pub:about_us:gjn|prof. dr hab. inż. Grzegorz Nalepa]]: [[https://www.usosweb.uj.edu.pl/kontroler.php?_action=katalog2/osoby/pokazOsobe&os_id=17935&lang=en|USOSweb]]
  * [[pub:about_us:sbk|dr inż. Szymon Bobek]]: [[https://www.usosweb.uj.edu.pl/kontroler.php?_action=katalog2/osoby/pokazOsobe&os_id=285240&lang=en|USOSweb]]
  * [[pub:about_us:kkt|dr inż. Krzysztof Kutt]]: [[https://www.usosweb.uj.edu.pl/kontroler.php?_action=katalog2/osoby/pokazOsobe&os_id=113562&lang=en|USOSweb]]

Details of the content and credit rules for each course can be found in the [[https://sylabus.uj.edu.pl/en/|JU Sylabus]].


===== Human-AI Laboratory (HAL) =====

A didactic laboratory established in 2021 at the Jagiellonian University under the project **HAL2021: Human-AI Laboratory** ([[https://arsdocendi.uj.edu.pl/|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

{{gallery> pub:labs: ?hal*.jpg&200x150&crop&lightbox}} 

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)