350238 VO BD1II - Fundamentals of Computer Science in Sports (2019S)
(= Einführung in die Sportinformatik und Statistik)
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Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 05.03. 14:30 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 26.03. 14:30 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 02.04. 14:30 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 09.04. 14:30 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 30.04. 14:30 - 15:30 ZSU - USZ II, Seminarraum II, 1. Stock
- Tuesday 14.05. 14:30 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 21.05. 14:45 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 28.05. 14:45 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 04.06. 14:45 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
- Tuesday 18.06. 14:45 - 15:30 ZSU - USZ II, Hörsaal, Dachgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Written examination
Minimum requirements and assessment criteria
Learning Outcomes:
Knowledge of the most relevant subjects of sport informatics (Data acquisition and analysis, modelling and simulation, data bases and expert systems, presentation as well as technologies for learning,coaching and training) and their relevance for different fields of application
Knowledge of the most relevant subjects of sport informatics (Data acquisition and analysis, modelling and simulation, data bases and expert systems, presentation as well as technologies for learning,coaching and training) and their relevance for different fields of application
Examination topics
- lecture and discussion
Reading list
Association in the course directory
BD1III
Last modified: Th 11.08.2022 00:27
- subject area and history of sport informatics
- databases: concepts and models
- multimedia and eLearning
- applications
- Datenbanken
- Messen, Steuern, Regeln
- Computer-Videosysteme
- Modellieren und Simulation
- E-Learning