| 1 | Understanding of time series and process concept, basic definitions, notations |
| 2 | Learning pre-statistical analysis in time series modelling issue |
| 3 | Learning structural behaviors of time series |
| 4 | Understanding diagnosing trend component and its modelling |
| 5 | Understanding analysis of periodic component of Fourier approach |
| 6 | Understanding removing trend and periodicity from experimental data |
| 7 | Understanding stochastic process and serial dependency |
| 8 | Understanding models with constant and periodical parameters |
| 9 | Understanding model parameters and confidence tests |
| 10 | Understanding synthetic data generation with integrated models |