Info
The course will introduce techniques used in data analysis typically applied when doing scientific experiments. While not strictly required, an introduction to scientific computation would be helpful.
The likely list of topics is
- Introduction, statistical methods and their applications
- Linear algebra and higher order singular value decomposition
- Basic optimization and adjoints
- Clustering and applications
- Compressed sensing
- Text processing
- Time series analysis and wavelets
- Applications
Lecturer: Benson Muite
Lecture: 10.15-12 Monday J. Liivi 2 - 224 (May be changed if required)
Practical: 12.15-14 Monday J. Liivi 2 - 205 (May be changed if required)