About the Course
The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis, probability theory, linear algebra
Course Objectives
01
Systematization of the mathematical background
02
Preparation for the use of mathematical knowledge in the professional activities of a specialist in the field of computer vision
03
Be able to solve practical problems in image processing
Learning Outcomes
1. Mastering practical skills in mathematics
2. The solution of mathematical problems that are encountered in the practical work of a specialist in the field of computer vision
3. Understanding of linear operations and linear dependence of vectors in multidimensional space
4. Getting practical skills to work with matrix for image processing
Course Syllabus
Week 1. Vectors
Week 2. Matrices
Week 3. Functions
Week 4. Project week
Teachers
Кафедра прикладной математики и информатики (Нижний Новгород): профессор
Факультет информатики, математики и компьютерных наук (Нижний Новгород): Приглашенный специалист
Learning Activities
Lectures
Online
Low-Stakes Assignments
Tests
High-Stakes Assignments
Final project