MOTV 2023 — различия между версиями

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* [https://disk.yandex.ru/i/PxNQ46hQucpJGg Seminar №2, 30.09] [https://disk.yandex.ru/i/jD6jDXJMpslIaA Hand-written notes]
 
* [https://disk.yandex.ru/i/PxNQ46hQucpJGg Seminar №2, 30.09] [https://disk.yandex.ru/i/jD6jDXJMpslIaA Hand-written notes]
 
* [https://disk.yandex.ru/i/BSUXPa5XszBp4Q Seminar №3, 07.10]
 
* [https://disk.yandex.ru/i/BSUXPa5XszBp4Q Seminar №3, 07.10]
 +
* [https://disk.yandex.ru/i/gkUVY3oV7flI6w Seminar №4, 14.10]
  
 
== Homeworks ==
 
== Homeworks ==

Версия 21:03, 20 октября 2023

Lecturers and Seminarists

Lecturer Vladimir Ulyanov [] T924
Seminarist Samsonov Sergey [svsamsonov@hse.ru] T926
TA Ilya Levin [...] T926

About the course

This page contains materials for the Mathematical Foundations of Probability theory course in 2023/2024, mandatory for 1st year Master students of the MML program (HSE and Skoltech).

Grading

The final grade consists of 2 components (each is non-negative real number from 0 to 10, without any intermediate rounding) :

  • OHW for the hometasks
  • OExam for the final exam

The formula for the final grade is

  • OFinal = 0.5*OHW + 0.5*OExam

with the usual (arithmetical) rounding rule.

[... Table with grades]

Lectures

Seminars

Homeworks

Please send your solutions to svsamsonov@hse.ru

Exam

Exam will be organised on 01.11.2023. Exam questions will contain 1 theoretical question and 1 problem. Using any materials, electronic devices is allowed during preparation, but not during the answer. The proofs that were not given in the lectures can be omitted.

Recommended literature (1st term)