At the end of the course, the student will learn:
- Statistical methods in time series
- Data management: cleaning, curation and preparation
- Deep learning (machine learning methods)
- Simulation methods
- Topological background and implementation
- Gain knowledge about machine learning concepts in TDA
- Topological approach in predicting time series data
- Application of proposed material in real and simulated data