Machine learning 2 DSBA 2022/2023
Материал из Wiki - Факультет компьютерных наук
Дополнительные действия
Teachers & assistants
| Group | 191 | 192 | 193 |
|---|---|---|---|
| Lecturer | Tsvigun A.O.
atsvigun@hse.ru , tg: @aktsvigun | ||
| Workshop Instructor | Tsvigun A. atsvigun@hse.ru tg: @aktsvigun |
Sanochkin L. lsanochkin@hse.ru tg: @lsanochkin |
Vazhentsev A. aavazhentsev@hse.ru tg: @artemvazh |
| Assistant | Garshin S. tg: @SeregaEFD |
Matyash D. tg: @bwdare |
Buzilov G. tg: @GBuzilov |
Grading system
The ultimate grade G for the whole course is calculated as: G = 0.25 · module_1 + 0.25 · module_2 + 0.5 · module_3
where module_1 is calculated as 0.4 · КР + 0.3 · ПР + 0.3 · ДЗ, module_2 is calculated as 0.4 · ПР + 0.6 · ДЗ and module_3 is calculated as 0.2 · ПР + 0.3 · ДЗ + 0.5 · ЭКЗ.
Grade G is rounded (up or down) to an integer number of points before entering them into records. Grades for each module are also rounded.
Results
The results table can be found by this link.
Smart LMS Course link
The link for the course may be observed here: source.
GitHub source
link.