Mathematical Foundations of Probability theory — различия между версиями

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==Homeworks ==
 
==Homeworks ==
 
*[https://www.dropbox.com/s/cjjkrnslzcbq196/HW_1_mat_osnovy.pdf?dl=0] Homework #1, deadline: 16.10.2022, 23:59.
 
*[https://www.dropbox.com/s/cjjkrnslzcbq196/HW_1_mat_osnovy.pdf?dl=0] Homework #1, deadline: 16.10.2022, 23:59.
*[https://www.dropbox.com/s/9cv8m6miuxto6ak/HW_2_mat_osnovy.pdf?dl=0] Homework #2, deadline: 28.10.2022, 23:59.
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*[https://www.dropbox.com/s/9cv8m6miuxto6ak/HW_2_mat_osnovy.pdf?dl=0] Homework #2, deadline: 29.10.2022, 23:59. Deadline was extended!
  
 
== Exam ==
 
== Exam ==

Версия 00:16, 29 октября 2022

Lecturers and Seminarists

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

About the course

This page contains materials for the Mathematical Foundations of Probability theory course in 2022/2023, 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

  • [1] Homework #1, deadline: 16.10.2022, 23:59.
  • [2] Homework #2, deadline: 29.10.2022, 23:59. Deadline was extended!

Exam

Exam will be organised on 29.10.2022. Please split into 2 groups: first group starts exam at 09:00, second group starts at 10:30. You can book am exam slot below. Exam question 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)