Chevron Left
Voltar para Mathematics for computer vision

Comentários e feedback de alunos de Mathematics for computer vision da instituição Universidade HSE

Sobre o curso

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
Filtrar por:

1 — 2 de 2 Avaliações para o Mathematics for computer vision

por Artem L

26 de Out de 2021

I​ have to say it is pretty darn bad. The instructor speaks broken English and reads the slides in a monotonous voice. He makes virtually no attempt to translate the material from math lingo into digestable English. It feels like he is teaching an advanced course to advanced audience, not an intro class that crams LInear Algebra and Calcualus in 4 lectures. The forum is not monitored, questions go unanswered for months, so you are on your own. Then you have the final graded problem that has nothing to do with the course material. I could have solved it without ever taking the course, it is a purely programming task.

O​ther courses from HSE were direct opposite, so I hope this is just a fluke.

por Faraz H

3 de Ago de 2021

BIIIIIIG waste of time! You can find better courses on coursera about image processing! The final project in this course is not well defined, the material is also not well presented