The course will cover the fundamentals of immunology, provide an overview of the most widely used machine learning methods in the medical field, and demonstrate the specific features of applying these methods to immunological and medical data.
Skills and knowledge gained after completing the course: understanding of the structure and functioning of the human immune system; skills in working with immunological data; skills in applying machine learning methods to medical tasks; skills in survival analysis.
The course program includes 26 sessions: 13 lectures and 13 seminars
Prerequisites for the course:
Teachers:
Ilya A. Dyugay
Education
Bioengineering and bioinformatics
MSU
Areas of Expertise
Bioinformatics, immunology, application of ML in immunology and bioinformatics
Alexander V. Poslavskiy
Education
Computational mathematics and cybernetics
MSU
Areas of Expertise
Competitive data analysis, computer vision, bioinformatics
Занятия проводятся на факультете биоинженерии и биоинформатики МГУ
В программе курса 26 занятий: 13 лекций и 13 семинаров
Старт курса: с 3 октября
Занятия будут проходить по понедельникам:
Пререквизиты курса:
Набор на курс 2022 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