Introduction to Micro and Macroeconomics DSBA 2025/2026 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
(Добавлена формула оценивания) |
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| (не показана одна промежуточная версия этого же участника) | |||
| Строка 17: | Строка 17: | ||
| Savin Sergey <br> email: snsavin@edu.hse.ru <br /> tg: @svnsrg | | Savin Sergey <br> email: snsavin@edu.hse.ru <br /> tg: @svnsrg | ||
| Sinyakov Pavel <br> email: pssiniakov@edu.hse.ru <br /> tg: @Confier | | Sinyakov Pavel <br> email: pssiniakov@edu.hse.ru <br /> tg: @Confier | ||
| − | | Monakhov Dmitry <br> email: dsmonakhov@edu.hse.ru <br /> tg: @ | + | | Monakhov Dmitry <br> email: dsmonakhov@edu.hse.ru <br /> tg: @bruhhseboy |
| Krotova Maria <br> email: mikrotova@edu.hse.ru <br /> tg: @almanmaria | | Krotova Maria <br> email: mikrotova@edu.hse.ru <br /> tg: @almanmaria | ||
|- | |- | ||
| Head TA | | Head TA | ||
| − | | colspan="6" | Soboleva Nastya <br> tg: | + | | colspan="6" | Soboleva Nastya <br> tg: @NSblv |
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| + | |||
== Course materials== | == Course materials== | ||
All course materials will be published in [https://edu.hse.ru/course/view.php?id=252963 LMS] | All course materials will be published in [https://edu.hse.ru/course/view.php?id=252963 LMS] | ||
Текущая версия на 16:15, 17 сентября 2025
Содержание
Teachers and assistants
| Group | 241 | 242 | 243 | 244 | 245 | 246 |
|---|---|---|---|---|---|---|
| Lecturer | Avtonomov Yu.V. | |||||
| Seminar Teacher | Tabashnikova A.V. | Avtonomov Yu.V. | Tyushkevich Y.A. | |||
| Teaching Assistant | Podlednev Nikita email: nik.podlednev@gmail.com tg: @x801man |
Bobua Andrey email: abbobua@edu.hse.ru tg: @andruxa2OO5 |
Savin Sergey email: snsavin@edu.hse.ru tg: @svnsrg |
Sinyakov Pavel email: pssiniakov@edu.hse.ru tg: @Confier |
Monakhov Dmitry email: dsmonakhov@edu.hse.ru tg: @bruhhseboy |
Krotova Maria email: mikrotova@edu.hse.ru tg: @almanmaria |
| Head TA | Soboleva Nastya tg: @NSblv | |||||
Course materials
All course materials will be published in LMS
Grades
The results table with all your grades can be found here.
Assessment & grading: spring semester
- Formula
- Spring = 0.10·Q + 0.10·H + 0.20·M + 0.60·F + B
- Notation
- Q — average score for spring in-class quizzes, rounded to the nearest integer.
- H — average score for spring home assignments, rounded to the nearest integer.
- M — spring mid-term test score.
- F — final spring test score.
- B — bonus points (0–5 per semester).
Final course grade
- Final = 0.55·Spring + 0.45·Fall