| Lecturer: | Dr. Constantin Weiser |
| Lecture ID: | 3240 |
| Contact Time: | 2h Lecture + 2h Tutorial |
| Credits: | 6 ECTS for Master Students |
| Time/Place: |
Tue, 08:15-09:45 HS IV (Lecture) Thu, 16:15-17:45 HS IV (Tutorial) |
| Start: | 03.11.2022 |
| Language: | English |
Content:
This module provides booth, a wide-ranging overview of different areas of this field and for some topics a deep discussion of theory and practical usage.
(1) Introduction
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- algorithms and programming
- introduction to a software package
(2) Numerical methods
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- optimization
- differentiation / integration
(3) Sampling/Resampling methods
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- Monte Carlo simulation / bootstrap
- Markov-Chain Monte Carlo
(4) Data analysis (exemplary selection)
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- data wrangling and visualisation
- classification (Nearest-Neighbour, CART, ...)
- clustering (K-Means, DBSCAN, ...)
- machine learning (neural networks, support-vector machines, …)
- text- / image-processing
Material:
Course materials will be downloadable from the e-learning platform ILIAS.