Bachelor 2024/2025

Computer Vision

Type: Elective course (Data Science and Business Analytics)

Area of studies: Applied Mathematics and Information Science

Delivered by: Big Data and Information Retrieval School

Where: Faculty of Computer Science

When: 4 year, 3 module

Mode of studies: offline

Open to: students of one campus

Language: English

ECTS credits: 5

Contact hours: 40

Course Syllabus

Abstract

The course is devoted to the main tasks and methods of computer vision, such as image processing and classification, image search by content, object selection and segmentation, image stylization, image synthesis, optical flow calculation, single and multiple target tracking, event recognition. To master the academic discipline, students must possess the knowledge and competencies of the following disciplines: Mathematical analysis; Linear algebra and geometry; Theory of Probability and Mathematical Statistics; Fundamentals and methodology of programming; Algorithms and data structures; Machine learning 1; Machine learning 2; Introduction to Deep Learning