Module SAD Specialisation in Areas of Data Science (34 ECTS)
Foundations
- 040721 UK [ en ] Selected Topics in Statistics
- 040723 UK Financial and Insurance Mathematics
- 040771 UK Case Studies in Statistics
- 040772 UK [ en ] Complex Statistical Methods
- 052100 VU [ en ] Algorithms and Data Structures 2
- 052101 VU [ en ] Numerical Algorithms
- 052111 VU [ en ] Advanced Algorithms
- 052112 VU [ en ] Numerical High Performance Algorithms
- 052113 VU [ en ] Software Tools and Libraries for Scientific Computing
- 052311 VU [ en ] Data Mining
- 052600 VU [ en ] Signal and Image Processing
- 052617 VU [ en ] Image Processing and Image Analysis
- 052800 VU [ en ] Parallel Computing
- 136041 SE [ en ] Topics in Deep Learning and Natural Language Processing
- 250063 VO [ en ] Nonlinear optimization
- 250068 VO [ en ] Stochastic processes
Applications
- 040775 UK Biometrics 2
- 052315 VU [ en ] Natural Language Processing
- 053530 VU [ de en ] Statistical methods in bioinformatics
- 070263 UE [ en ] Reading course - Theory and Concepts in the Digital Humanities
- 180118 VO [ en ] Cognitive Science - Introduction and Basic Concepts
- 180147 SE [ en ] Introduction to Cognitive Science I
- 180150 VO [ en ] MEi:CogSci Cognitive Science Lecture Series
- 180160 SE [ en ] New Trends in Cognitive Science - The predictive coding approach to mind/cognition
- 180161 SE [ en ] MEi:CogSci Journal Club - Causal inference in cognitive neuroscience (neuroimaging and stimulation)
- 270008 PR Laboratory Course: Analysis of Large Datasets of "omics"-type Experiments
- 270070 VO+UE [ en ] Machine learning for molecules and materials - with an introduction to python
- 270089 UE [ de en ] Research Examples from Theoretical Chemistry
Last modified: Fr 08.01.2021 00:46
(1) Participation in courses from other studies is subject to availability.
(2) Possible participation requirements (prerequisites) from other curricula apply.
(3) Not all courses are offered in English. Please note the information on the language of instruction in the course description (Details).