This course deals with the most advanced and based on state of the art progress in Data analysis and Data modeling.

Lecture notes
Chapter 0: References  (Download)
Chapter 1: Principles of error estimations (Download)
Chapter 2: Probability distribution functions (Download)
Chapter 3: Power spectrum analysis (Download)
Chapter 4: Langevin equation (Download)
Chapter 5: Fractal analysis (Download)
Chapter 6: Data modeling (Download)
Chapter 7: Markov chain Monte-Carlo method (MCMC) (Download)
Chapter 8: Simple genetic algorithm (Download)
Chapter 9: Fisher information matrix (Download)