The goals and objectives of the course include a comprehensive study of the theoretical foundations and practical aspects of applying machine learning methods for image processing.
The main goal is to equip students with solid knowledge and skills that will enable them to effectively apply modern machine learning methods to the analysis of biological and medical images.
Within the course, students will become familiar with the basic principles of traditional image processing methods, the theoretical foundations of machine learning and deep learning, as well as the practical aspects of their application. Special attention will be paid to studying real‑world case studies, working with various types of biological and medical images, and implementing algorithms capable of solving specific tasks in these fields.
Upon completion of the discipline, students will gain unique knowledge and skills that will allow them to apply machine learning methods for processing biological and medical images in practice. This represents an important step in their professional career and a contribution to scientific and technological progress.
Assessment elements: attendance, completion of homework assignments, final assessment (pass/fail).
Classes are held at the Faculty of Fundamental Medicine of Lomonosov Moscow State University.
The course programme includes 26 sessions: 13 lecture blocks + 13 practical sessions, as well as 8 homework assignments in the form of notebooks on Google Colab.
To successfully complete the course, it is recommended to first take the free online courses on the Stepik platform — “Python Generation for Beginners” and “Python Generation for Advanced Learners”, or other training with equivalent content.
Teachers:
Elizaveta S. Chechekhina
Education
Pharmacy, Faculty of Fundamental Medicine
MSU
Nikita S. Voloshin
Education
Medical Science, Faculty of Fundamental Medicine
MSU
Занятия проводятся в ауд. Е367 факультета фундаментальной медицины МГУ им. М. В. Ломоносова
В программе курса 26 занятий: 13 лекционных блоков + 13 практических занятий, а также 8 домашних заданий в формате блокнотов в Google Colab
Формат проведения: офлайн
Старт курса: 7 октября 2024
Занятия будут проходить 1 раз в неделю по субботам с 13:00 до 16:10
Набор на курс 2024 года закрыт
FRIDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Ganichev
THURSDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Marakulin
MONDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: D. Penzar
SATURDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: I. Konyushok