Basic Methods of Data Analysis (2KV)
| Course no.: |
365.074 |
| Lecturers: |
Sepp Hochreiter |
| Times/locations: |
Thu 15:30-17:00, room S2 048 |
| Start: |
Thu Oct 4, 2018 |
| Mode: |
KV, 2h, weekly |
| Registration: |
KUSSS |
| Written exams: |
tba, registration via KUSSS
|
Lecture Notes:
Slides:
Motivation:
Data analysis and visualization are essential to most fields in science and engineering. The goal of this course is to provide students with a basic tool chest of methods for pre-processing, analyzing, and visualizing scientific data.
Topics:
- Scatter plots and box plots
- Basics of classification
- Basics of regression
- ANOVA
- Clustering
- Principal component analysis (+ visualization, including spectral maps)
- Singular value decomposition (+ visualization)
- Matrix factorization (+ visualization)
- Independent component analysis
