Time series analysis

Data on various phenomena observed over time are common in virtually all sciences. Time series analysis involves drawing conclusions about the properties of time series and their development over time, typically to predict future values. Examples of applications are found in economics, finance, psychology, weather forecasting, control engineering, pattern recognition, etc.

The course provides basic knowledge of the theory and applications of statistical methods in time series analysis and skills in practical analysis of time series data. Throughout the course, great emphasis is placed on a critical approach to the use of statistical methods and the interpretation of results. Special emphasis is placed on the ability of different models to generate forecasts. Great importance is also placed on practical data handling, visualization, and analysis through programming in R.