Fundamentals of Neural Networks and Machine Learning

Khasenova Zarina Toleubekovna

The instructor profile

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