Specialisation Module Master Computer Science
The courses listed below can be used for the Specialisation Module in the Master Programme Computer Science of the winter term 2020/2021.
Note: the label VMI (as it is written in the curriculum) is not used.
The list is not yet complete, please check it from time to time!
- Courses listed in the Specialisation Module
Basic notions of computational complexity theory, such as the classes P, NP, Karp reduction. Basic definitions of some spin models, like the Ising model.
- 706363 Statistics and Data Analysis VO 2 (2,5 ECTS)
- 706364 Statistics and Data Analysis PS 1 (2,5 ECTS)
The lecture focuses on general techniques of data handling. It has no premises above the pyhsics courses of 3th/4th semester bachelor. Some enthusiasm in working at computers and programming is required. Topics covered in brief: statistical distributions, statistical tests, fitting of data, error estimation, astronomy data analysis, fourier methods, time series, data processing.
Detailed knowledge of methods for the analysis and modeling of cross-sectional and micro data, especially from economics and the social sciences. Ability to independently work out statistical problems based on use-oriented questions, using statistical software, and communicating the results.
Registration: by e-mail to Achim Zeileis
- Interdisciplinary courses for Master's Programmes (with connection to Computer Science) - see 'Interdisciplinary and Additional Courses' of the University. Prior agreement of the Dean of Studies Georg Moser is required!
- Courses from Physics or Mathematics or other study programmes with connection to Computer Science. Prior agreement of the Dean of Studies Georg Moser is required!
- Completed Elective Module (Master Computer Science)
- Additional Master Seminar (Master Computer Science)
For further information please contact: lehre-informatik@uibk.ac.at