AI Technologies
Description: The discipline studies processes, services for data processing and decision-making in the field of professional activity. Students will gain skills in data visualization, aggregation, filtering, setting weights, selecting a classifier, classification, constructing decision trees for solving scientific and technical problems, selecting an appropriate metric, and assessing the quality of the model and algorithm.
Amount of credits: 8
Пререквизиты:
- Programming Microcontroller Systems for Electric Vehicles
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 45 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 45 |
| SAW (Student autonomous work) | 120 |
| Form of final control | Exam |
| Final assessment method |
Component: Component by selection
Cycle: Profiling disciplines
