Optimization methods in artificial intelligence
Description: The discipline "Optimization Methods in Artificial Intelligence" is intended to study various optimization methods that are used in the field of artificial intelligence. Students will study basic optimization algorithms and learn how to apply them in various artificial intelligence tasks, such as machine learning, deep learning, neural networks and others.
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 15 |
| Laboratory works | 15 |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method |
Component: University component
Cycle: Base disciplines
