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--- pub:teaching:start [2011/01/11 09:21] – wta
+++ pub:teaching:start [2022/07/14 17:52] – created kkt
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-====== Teaching ======
+====== GEIST Teaching ======
-===== Labs and equipment =====
+===== GRIS =====
+ - a.k.a. GEISTa Reguły Interakcji ze Studentami: [[:pub:teaching:gris|here]] //(currently only in Polish)//
-At the team disposal are two modern computer labs. In the labs a heterogeneous networking environment is provided with both GNU/Linux as well as other environments.
+===== Courses =====
-In 2008 a new robotics lab ([[http://mrl.ia.agh.edu.pl|Mobile Robots Laboratory]]) has been created. It is equipped with 12 LEGO Mindstorms NXT robotic sets and two mobile robots Hexor by Stenzel. The lab is being used to teach basics of intelligent robots control.
+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]]
-{{gallery> pub:teaching: ?crop&lightbox }}
+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)