VIS-IVVA-M: Advanced Information Visualization and Visual Analytics

Dozent/in:

Fabian Beck

Angaben:

Vorlesung, 2,00 SWS, ECTS: 6, Modulstudium

Termine:

Mo, 12:00 - 14:00, WE5/01.004

Voraussetzungen / Organisatorisches:

Recommended previous knowledge: Basic knowledge in information visualization and programming; knowledge in algorithms and data structures, human-computer-interaction, and machine learning and data science can be beneficial.

Note: This lecture is not directly based on the bachelor lecture VIS-GIV-B. Previous knowledge in visualization is nevertheless helpful, but can also be acquired during the semester. In particular, the VIS-Plus course will offer helpful tutorials and summaries.

VIS-IVVA-M: Advanced Information Visualization and Visual Analytics, Gruppe 1

Dozentinnen/Dozenten:

Cedric Krause, Shahid Latif

Angaben:

Übung, 2,00 SWS, Modulstudium

Termine:

Mo, 14:00 - 16:00, WE5/05.003

VIS-IVVA-M: Advanced Information Visualization and Visual Analytics, Gruppe 2

Dozentinnen/Dozenten:

Cedric Krause, Shahid Latif

Angaben:

Übung, 2,00 SWS

Termine:

Mi, 16:00 - 18:00, Raum n.V.

VIS-Proj-M: Masterprojekt Informationsvisualisierung - Visualizing Commits in Software Repositories

Dozentinnen/Dozenten:

Cedric Krause, Fabian Beck

Angaben:

Projekt, 4,00 SWS, ECTS: 6

Termine:

Fr, 8:00 - 12:00, WE5/05.003

Voraussetzungen / Organisatorisches:

Requirements: Advanced programming skills.

Beneficiaries: Basic knowledge in visualization, human-computer-interaction, or machine learning and data science can be beneficial.

Registration: This course takes part in the central registration: https://vc.uni-bamberg.de/course/view.php?id=24052

VIS-Sem-M: Masterseminar Informationsvisualisierung - Text and Visualization

Dozentinnen/Dozenten:

Fabian Beck, Shahid Latif

Angaben:

Seminar, 2,00 SWS, ECTS: 3, first session on Oct 19 will be held remotely (see VC)

Termine:

Mi, 12:00 - 14:00, WE5/02.005
vom 11.1.2023 bis zum 8.2.2023

Voraussetzungen / Organisatorisches:

Requirments: None.

Beneficiaries: Basic knowledge in visualization, human-computer-interaction, or machine learning and data science can be beneficial.

Registration: This course takes part in the central registration: https://vc.uni-bamberg.de/course/view.php?id=24052