UnivIS
Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG 

Kolloquium im Bereich Maschinelles Lernen und Datenanalytik (KoMAD)

Lecturer
Prof. Dr. Björn Eskofier

Details
Kolloquium
2 cred.h, ECTS studies, Sprache Deutsch
Time and place: Wed 12:30 - 14:00, 00.010

Fields of study
WPF INF-MA ab 1

Contents
The colloquium provides a platform for the exchange of the researchers of the MaD-Lab. It focuses on scientific education via the discussion of seminal papers and recent developments, improvement of presentation skills and other aspects like for example grant writing. The colloquium is open to all interested researchers and students.

The colloquium is organized in the following StudOn group:
http://www.studon.uni-erlangen.de/studon/goto.php?target=crs_387333
Please join the group if you participate in the colloquium.

Additional information
Expected participants: 30
www: https://www.mad.tf.fau.de/teaching/courses/lv_id/41167326/

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2019/2020:
Kolloquium im Bereich Maschinelles Lernen und Datenanalytik (KoMAD)

Department: Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
UnivIS is a product of Config eG, Buckenhof