Master 2025/2026

Data Analysis and Machine Learning

Type: Compulsory course (Artificial Intelligence and Computer Vision)

Delivered by: Department of Applied Mathematics and Informatics

When: 1 year, 2 module

Online hours: 90

Open to: students of one campus

Language: English

Contact hours: 12

Course Syllabus

Abstract

The course is devoted to the presentation of modern data analysis and machine learning methods that are widely used in computer vision. The main emphasis is placed on such sections as learning and inference in vision. A taxonomy of models that relate the measured image data and the actual scene content is studied. Generative and discriminative models Classification, regression and clustering methods.