Lecturers: Polina Polunina, Victor Kantor
Class Teachers and TAs
| Class Teachers | Group | TA (contact) |
|---|---|---|
| Suleev Damir | BSE211 | Anastasiya Nasykhova (tg: @Sunday_18) |
| Maria Tikhonova | BSE212 | Maxim Romanov (tg: @matttax) |
| Kirill Bykov | BSE213, BSE214 | Kirill Mulygin (tg: @K_r_ll_m), Ilya Obrubov (tg: @obruboff) |
| Mikhail Lazarev | BSE215 | Dasha Sushkova (tg: @sushkova0805) |
| Yury Azin | BSE216 | Natalia Belova (tg: @alkmnd) |
| Igor Shchukin | BSE217 | Islam Gaysin (tg: @islamgaisin) |
| Alexey Plotnikov | BSE218 | Anastasia Arunova (tg: @larsic) |
| Alexander Kalashnikov | BSE219 | Egor Ermolaev (tg: @ezsefv) |
Final grade = 0.7*HW + 0.3*Exam
-
HW- Average grade for the assignments 1 to 5. You can get extra points by solving HW 6, but no more than 10 in total. Namely,HW = (hw1 + hw2 + hw3 + hw4 + hw5 + hw6)/5 -
Exam- Grade for the exam.
- Mathematics for Machine learning
- An Introduction to Statistical Learning
- Lectures on Probability Theory from Chernova, RU
- Lectures on Probability Theory, (Mathematical statistics) from Chernova, RU
- Probabilistic Programming and Bayesian Methods
You can skip the exam if mean grade for the assignemnts are not smaller than 5.5, i.e. (HW >=5.5).
In this case:
Final grade = ROUND(HW)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent