Bachelor 2025/2026

Basics in computer vision

Type: Compulsory course (Information and Communication Technologies and Systems)

Delivered by: School of Electronic Engineering

When: 4 year, 1, 2 module

Online hours: 40

Open to: students of all HSE University campuses

Instructors: Sergey Vartanov

Language: English

Course Syllabus

Abstract

Computer vision (CV) is a field of computer science that focuses on enabling computers to understand and interpret visual data from images or video. It basically tries to replicate human vision capabilities in various visual tasks such as object detection and recognition, image classification, object tracking and so on. Computer Vision can be applied to a variety of applications like Autonomous Vehicles, Facial Recognition, Medical Imaging, and Robotics, to name a few. This course aims to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. It covers both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation.