Data Analysis and Artificial Intelligence
Description: The discipline examines the main methods of data analysis. Correlation, linear regression and variance analyses of the data are studied. Students will gain practical skills in applying methods and algorithms for data clustering, data visualization, and pattern recognition with artificial intelligence tools. The course introduces the basics of machine learning and artificial neural networks.
Amount of credits: 8
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 30 |
| Practical works | |
| Laboratory works | 45 |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 45 |
| SAW (Student autonomous work) | 120 |
| Form of final control | |
| Final assessment method |
Component: Component by selection
Cycle: Profiling disciplines
