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== Lecturers and Seminarists ==

{| class="wikitable" style="text-align:center"
|-
|| Lecturer || [https://www.hse.ru/org/persons/219484540/ Sergey Samsonov ] || [svsamsonov@hse.ru] || T904
|-
|| Seminarist || [https://www.hse.ru/org/persons/305137706/ Marina Sheshukova] || [msheshukova@hse.ru] || T926
|-

|}

== About the course ==
This page provides materials for the Markov Chains course (2025/2026), which is mandatory for 1st-year Master’s students in the MML program (HSE and Skoltech).
Please, join the [https://t.me/+l1g8urcn4UAwOTNi Telegram Group].

== 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.

== Lectures and Seminars ==
* [https://disk.360.yandex.ru/d/ZeQ_os4lm6fvQw] - Lectures and seminars from current academic year (videos)

* [https://disk.yandex.ru/d/UUDGXL0hsdaK5w] - Lectures from 2024-2025 academic year, slightly different topics

* [https://disk.yandex.ru/d/6MgXynxl25djvA] - Lectures from 2023-2024 academic year, slightly different topics

* [https://disk.yandex.ru/d/cXeyH_vL3fEb_g] - Seminars from 2023-2024 academic year, slightly different topics

* [https://disk.360.yandex.ru/i/2WvVSdYm4yRyOA] - Lectures and seminars notes (last update: 06.12.2025)

== Homeworks ==
To submit homework, join
[https://classroom.google.com/c/NzkyNDAwMjkzMDQ4?cjc=w5anjhzk '''Google classroom'''] — invite code '''w5anjhzk'''

Homework solution file should be readable and well-organized.
* [https://disk.yandex.ru/i/xrYStL_bgmuQ4w HW 1, deadline: 26.11.2025, 23:59]
* [https://disk.yandex.ru/i/6aKPBqLIyiVpFQ HW 2, deadline: 08.12.2025, 23:59]
* [https://disk.yandex.ru/i/NZiqfvAMuY7vRg HW 3, deadline: 20.12.2025, 23:59]

Homework results:
* [https://docs.google.com/spreadsheets/d/17GA7C4FQIEViFIKD3UGBKoqZNkuT_YiYqtvnnBY34to/edit?usp=sharing link ]

== Exam ==
TBD
== Recommended literature ==
*Leonid B. Koralov Yakov G. Sinai - Theory of Probability and Random Processes;
*Yuri Suhov, Mark Kelbert - Probability and Statistics by Example: Volume 2;
*Randal Douc , Eric Moulines , Pierre Priouret , Philippe Soulier - Markov Chains.

MC 2025 - История изменений

imported>Svsamsonov: Migrated current public revision from wiki.cs.hse.ru