This Specialization is part of HSE University Master of Computer Vision degree program. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. This specialization is intended for a wide range of specialists who want to start getting acquainted with the direction of Computer Vision. In the frame of the specialization, students can organize their mathematical and programming skills necessary for the development of algorithms in the field of Computer vision, as well as learn how to use the OpenCV library for analyzing two-dimensional images. The OpenCV library is widely used by computer vision application developers, so students will be able to apply the skills acquired in this specialization in their real practical activities.
Overview
Class Central Tips
Syllabus
Course 1: Mathematics for computer vision
- Offered by HSE University. The course is devoted to the systematization of the mathematical background of the students necessary for the ... Enroll for free.
Course 2: 2D image processing
- Offered by HSE University. The course is devoted to the usage of computer vision libraries like OpenCV in 2d image processing. The course ... Enroll for free.
Course 3: Object-oriented programming
- Offered by HSE University. This course is primarily intended for students with basic programming knowledge who want to develop their C++ ... Enroll for free.
- Offered by HSE University. The course is devoted to the systematization of the mathematical background of the students necessary for the ... Enroll for free.
Course 2: 2D image processing
- Offered by HSE University. The course is devoted to the usage of computer vision libraries like OpenCV in 2d image processing. The course ... Enroll for free.
Course 3: Object-oriented programming
- Offered by HSE University. This course is primarily intended for students with basic programming knowledge who want to develop their C++ ... Enroll for free.
Courses
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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.
Aim of the course:
• Systematization of the mathematical background
• Preparation for the use of mathematical knowledge in the professional activities of a specialist in the field of
computer vision.
Practical Learning Outcomes expected:
• Mastering practical skills in mathematics
• The solution of mathematical problems that are encountered in the practical work of a specialist in the field of computer vision.
This Course is part of HSE University Master of Computer Vision degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/r381p.
Taught by
Alexander Demidovskij, Alexander Smorkalov, Anastasiia Sokolova , Andrey Savchenko , Egor Churaev, Sergey Slashchinin, Valeriy Kalyagin and Vasily Shamporov
