Fundamentals of Neural Networks and Machine Learning
Description: The course is dedicated to studying the fundamental principles and architecture of neural networks, as well as general concepts of machine learning. During the training, students become familiar with the theoretical foundations of how neural networks operate, their structures, and functionalities.
Amount of credits: 5
Пререквизиты:
- Информатика в объеме средней школы
Course Workload:
Types of classes | hours |
---|---|
Lectures | 15 |
Practical works | |
Laboratory works | 30 |
SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
SAW (Student autonomous work) | 75 |
Form of final control | Exam |
Final assessment method |
Component: Component by selection
Cycle: Base disciplines