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]
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*[https://www.dropbox.com/s/cjjkrnslzcbq196/HW_1_mat_osnovy.pdf?dl=0] Homework #1, deadline: 16.10.2022, 23:59.
  
 
== Exam ==
 
== Exam ==

Версия 15:20, 5 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.

Exam

  • []


Recommended literature (1st term)