Wiki - Факультет компьютерных наук - Вклад [ru]

Introduction to Finance DSBA 2026/2027

2026-09-02T08:43:46Z

M.abdulkhakimov: /* Teachers and Assistants */

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3 !! 4
|-
| Lecturer in Semester 1|| colspan="4"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="4"| Alina Myalo
|-
| Class teacher || colspan="2"| Irina Kestner || colspan="2"| Yulia Komarova
|-
| Consultations || - || - || -
|}

[https://t.me/+aR5zN1UaoLo1MWFi '''Telegram space''']

== Course Description ==

[https://www.hse.ru/edu/courses/1163485416 Introduction to Finance 1 syllabus]

[https://www.hse.ru/edu/courses/1163485428 Introduction to Finance 2 syllabus]

“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG-P9/view?usp=sharin '''Lecture 0'''] (01.09.2026) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9fPu/view?usp=sharin '''Lecture 1'''] (01.09.2026) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5sYD/view?usp=sharin '''Lecture 2'''] (01.09.2026) Time value of money: PV, FV, discounting, perpetuities, annuities.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqmUj/view?usp=sharin '''Problem Set 1'''] (01.09.2026) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03Nlxv-7/view?usp=sharin '''Problem Set 2'''] (01.09.2026) Time value of money: PV, FV, discounting, perpetuities, annuities.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr-OIjaZ/view?usp=sharin '''HA 1'''] (posted 01.09.2026; deadline 12.09.2026) Financial system, Time value of money.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8AR3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS64TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Introduction to Finance DSBA 2026/2027

2026-09-02T08:43:31Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3 !! 4
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="3"| Alina Myalo
|-
| Class teacher || colspan="2"| Irina Kestner || colspan="2"| Yulia Komarova
|-
| Consultations || - || - || -
|}

[https://t.me/+aR5zN1UaoLo1MWFi '''Telegram space''']

== Course Description ==

[https://www.hse.ru/edu/courses/1163485416 Introduction to Finance 1 syllabus]

[https://www.hse.ru/edu/courses/1163485428 Introduction to Finance 2 syllabus]

“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG-P9/view?usp=sharin '''Lecture 0'''] (01.09.2026) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9fPu/view?usp=sharin '''Lecture 1'''] (01.09.2026) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5sYD/view?usp=sharin '''Lecture 2'''] (01.09.2026) Time value of money: PV, FV, discounting, perpetuities, annuities.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqmUj/view?usp=sharin '''Problem Set 1'''] (01.09.2026) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03Nlxv-7/view?usp=sharin '''Problem Set 2'''] (01.09.2026) Time value of money: PV, FV, discounting, perpetuities, annuities.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr-OIjaZ/view?usp=sharin '''HA 1'''] (posted 01.09.2026; deadline 12.09.2026) Financial system, Time value of money.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8AR3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS64TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Introduction to Finance DSBA 2026/2027

2026-09-02T08:41:55Z

M.abdulkhakimov:

Wiki ФКН

2026-08-27T16:09:21Z

M.abdulkhakimov: /* Учебные курсы факультета компьютерных наук */

__NOTOC__
= Учебные курсы факультета компьютерных наук =

{| class="wikitable"
|-
! colspan="2" | <div style="text-align: center;">'''Навигация'''</div>
|-
! [[#bachelors|Курсы бакалавриата ФКН]]
| <div style="text-align:center">[[#AMI|ПМИ]] · [[#SE|ПИ]] · [[#DSBA|ПАД]] · [[#compds|КНАД]] · [[#EDA|ЭАД]] · [[#DRIP|ДРИП]] · [[#RICP|РИЦП]] · [[#DIRS|ПИРС]] · [[#electives|майноры и факультативы]]</div>
|-
! colspan="2" | [[#DataCulture|Курсы в рамках проекта Data Culture]] · [[#masters|Курсы магистратуры ФКН]] · [[#other|Курсы других факультетов]] · [[#archive|Архив]]
|}

== Курсы за 2026/27 учебный год ==
{| class="wikitable courses"
|-

! width="21%" | 1 курс !! width="21%" | 2 курс !! width="21%" | 3 курс !! width="21%" | 4 курс !! rowspan="2" | '''майноры и факультативы'''
|-
| colspan="4" style="text-align: center;" | '''ПМИ'''
|-
|

'''М+'''

[[Линейная_алгебра_и_геометрия_на_ПМИ_2026/2027_(пилотный_поток) | Линейная алгебра и геометрия (пилотный поток)]]

[[Математический_анализ_1_2026/27_(пилотный_поток) | Математический анализ-1 (пилотный поток)]]

[[Дискретная математика_на_ПМИ_2026/2027_(пилотный_поток) | Дискретная математика (пилотный поток)]]

[[Теория_чисел_(пилотный_поток)_2026/27 | Теория чисел (пилотный поток)]]

[[Алгебра_на_ПМИ_2026/2027_(пилотный_поток) | Алгебра (пилотный поток)]]

'''М'''

[[Линейная_алгебра_и_геометрия_на_ПМИ_2026/2027_(основной_поток) | Линейная алгебра и геометрия (основной поток)]]

[[Математический_анализ_1_2026/27_(основной_поток) | Математический анализ-1 (ПМИ основной поток)]]

[[DM1PMIbase-2026-27 | Дискретная математика (ПМИ основной поток)]]

[[Теория_чисел_(основной_поток)_2026/27 | Теория чисел (основной поток)]]

[[Алгебра_на_ПМИ_2026/2027_(основной_поток) | Алгебра (основной поток)]]

'''П'''

[[Язык программирования Python 2026/27 (основной поток) ]]

[[Алгоритмы и структуры данных 1 (основной поток) (4 модуль) 2026/2027]]

'''П+'''

[[Язык программирования C++ (пилотный поток) ]]

[[Алгоритмы и структуры данных пилотный поток 2026/2027 | Алгоритмы и структуры данных (пилотный поток)]]

||

'''М+'''

[[Математический_Анализ_2_на_ПМИ_2026/27_(пилотный_поток) | Математический анализ 2 (пилотный поток)]]

[[Теория_вероятностей_2026/27_(пилотный_поток) | Теория вероятностей (пилотный поток)]]

[[Математическая_статистика-1_2026/27_(пилотный_поток) | Математическая статистика-1 (пилотный поток)]]

'''М'''

[[Теория_вероятностей_на_ПМИ_2026/2027_(основной_поток) | Теория вероятностей (основной поток)]]

[[Математический_анализ_-_2_(основной_поток)_ПМИ_и_ЭАД_2026/2027 | Математический анализ-2 (ПМИ + ЭАД)]]

[[Математическая_статистика_2026/27_(основной_поток) | Математическая статистика (основной поток)]]

 

'''П'''

[[Мachine Learning 1 | Машинное обучение 1]]

[[Язык_программирования_Python_(углубленный_курс) | Язык программирования Python (углубленный курс)]]
 

[[CAOS-2026/27 | Архитектура компьютеров и операционные системы]]

[[Инструменты_промышленной_разработки | Инструменты промышленной разработки]]

[[Алгоритмы_и_структуры_данных_2_2026/27 | Алгоритмы и структуры данных 2 2026/27]]

[[Язык_программирования_Go | Язык программирования Go]]

[[Комплексный анализ 2026/27]]

[[Функциональный анализ 2026/27]]

[[ Дискретная_математика_2_2026/27 | Дискретная математика 2 2026/27 ]]

[[Основы матричных вычислений 2026/27]]

[[Дифференциальные уравнения 2026/2027]]

||

[[ PE101-26-27 | Performance engineering 101 ]]

[[ Стохастический_анализ_(весна_2027) | Стохастический анализ ]]

[[Функциональное_программирование_2026/2027 | Функциональное программирование]]

[[ Основы_тензорных_вычислений_(2026/27) | Основы тензорных вычислений ]]

[[Рекомендательные системы 2026/27 | Рекомендательные системы]]

[[Глубинное обучение 1 26/27 | Введение в глубинное обучение]]

[[ Types_26 | Типы в языках программирования ]]

[[ Безопасность_компьютерных_систем_26/27 | Безопасность компьютерных систем ]]

[[ Моделирование временных рядов 2026/27 | Моделирование временных рядов ]]

[[ Случайные_процессы_приложения_2026/27 | Случайные процессы и их приложения ]]

'''ПМИ / МОП'''

[[Машинное_обучение_1_26/27 | Машинное обучение 1]]

[[Математическая_статистика_2_2026/2027 | Математическая статистика 2]]

[[ML_Research_Seminar_1 | НИС Машинное Обучение и Приложения 1]]

[[Машинное_обучение_2/2026_2027 | Машинное обучение 2]]

'''ПМИ / РС'''

[https://docs.google.com/document/d/1sHfi9_m4hx4y0iIgQEueMCr4qokLxh2Bvyzw_MdE2iI/edit?usp=sharing Распределенные системы]

[https://docs.google.com/document/d/1Hqu7iVY0FpYVujjNpIClkIMOQy32YWJpJHZKPSrOtmA/edit?usp=sharing НИС Распределенные системы]

'''ПМИ / ТИ'''

[[ NIS-TCS-26-27 | НИС Теоретическая информатика ]]

[[KKTI-26-27 | Комбинаторные конструкции в теоретической информатике]]

 

||

[[ PE101-26-27 | Performance engineering 101 ]]

[[Генеративные модели на основе диффузии (26/27)]]

[[Большие_языковые_модели_26_27 | Большие языковые модели]]

[[Theory_of_computation_2026 | Theory of computation]]

[[Statistical_learning_theory_2027 | Statistical learning theory]]

[[Теория_и_практика_онлайн-экспериментов_26/27 | Теория и практика онлайн-экспериментов]]

[[Современный_NLP_и_большие_языковые_модели_27 | Современный NLP и большие языковые модели]]

[[Эффективные_системы_глубинного_обучения_26/27 | Эффективные системы глубинного обучения 26/27]]

[[ Haskell_27 | Промышленное программирование на Haskell ]]

[[ zkSNARK_27 | Протоколы доказательств с нулевым разглашением ]]

[[ Развёртывание_ML-моделей_в_высоконагруженных_системах_27 | Развёртывание ML-моделей в высоконагруженных системах ]]

'''ПМИ / МОП'''

[[Глубинное обучение 2 2026| Глубинное обучение 2]]

[[ML_Research_Seminar_2 | НИС Машинное Обучение и Приложения 2]]

[[LSML 2026/2027 | Машинное обучение для больших данных]]

'''ПМИ / РС'''

[? НИС Распределенные системы 2]

[? Методы и системы обработки больших данных]

'''ПМИ / ТИ'''

[[ NIS-TCS-26-27 | НИС Теоретическая информатика ]]

[[ OWF-26-27 | Односторонние функции и их применения ]]

[[ ConvApprox27 | Выпуклое программирование и аппроксимационные алгоритмы ]]

[[AT-26-27 | Теория автоматов, формальные языки, регулярные выражения]]

 

| rowspan="15" |


[[Майнор_Биоинформатика_1_год_2026/27|Биоинформатика 1 год 2026/27]]

[[Майнор_Биоинформатика_2_год_2026/27|Биоинформатика 2 год 2026/27]]

[[Введение_в_программирование_26/27|Введение в программирование. Питон 26/27]]

[[Введение_в_базы_данных_26/27|Введение в базы данных 26/27]]

[[Основы_глубинного_обучения_26/27|Основы глубинного обучения 26/27]]

[[Основы_машинного_обучения/2027|Основы машинного обучения 26/27]]

[[Прикладные_задачи_анализа_данных/2027|Прикладные задачи анализа данных 26/27]]

[[Kolmogorov_complexity_fall2026|Introduction to Kolmogorov complexity]]

[[Complexity_theory_2027|Теория вычислений]]

|-
| colspan="4" style="text-align: center;" | '''ПИ'''
|-
|

[[Алгебра_ПИ_2026-2027|Алгебра 26/27]]

[[Дискретная_математика_26/27|Дискретная математика 26/27]]

[[Математический_анализ_26/27|Математический анализ 26/27]]

|
[[НИС_Методы_и_алгоритмы_защиты_информации_26/27|НИС Методы и алгоритмы защиты информации 26/27]]

[[Теория_вероятностей_26/27|Теория вероятностей 26/27]]

[[Математическая_статистика_26/27 | Математическая статистика 2026/27]]
|
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ПАД'''
|-
|
'''1st year DSBA 2026/2027'''

[[Calculus 1 DSBA 2026/2027 | Calculus 1 (modules 1-4)]]

[[C++ Programming Language DSBA 2026/2027 | C++ Programming Language (modules 1-2)]]

[[English DSBA 2026/2027 | English Language (modules 1-4)]]

[[LAaG DSBA 2026/2027 | Linear Algebra and Geometry (modules 1-4)]]

[[Discrete Mathematics 1 DSBA 2026/2027 | Discrete Mathematics 1 (modules 1-3)]]

[[Russian History DSBA 2026/2027 | Russian History (modules 1-4)]]

[[Economics DSBA 2026/2027 | Economics (modules 2-3)]]

[[Foundations of Russian Statehood DSBA 2026/2027 | Foundations of Russian Statehood (module 3)]]

[[Python for Data Science DSBA 2026/2027 | Python for Data Science (module 3)]]

[[Algebra DSBA 2026/2027 | Algebra (module 4)]]

[[Algorithms and Data Structures 1 DSBA 2026/2027 | Algorithms and Data Structures 1 (module 4)]]

[[Fundamentals of Software Engineering DSBA 2026/2027 | Fundamentals of Software Engineering (module 4)]]

||
'''2nd year DSBA 2026/2027'''

[[Algorithms and Data Structures DSBA 2026/2027 | Algorithms and Data Structures (modules 1-3)]]

[[Discrete Mathematics 2 DSBA 2026/2027 | Discrete Mathematics 2 (modules 1-2)]]

[[Calculus 2 DSBA 2026/2027 | Calculus 2 (modules 1-2)]]

[[Probability Theory DSBA 2026/2027 | Probability Theory (modules 1-2)]]

[[Introduction to Micro and Macroeconomics DSBA 2026/2027 | Introduction to Micro and Macroeconomics (modules 1-4)]]

[[Computer Architecture and Operating Systems DSBA 2026/2027 | Computer Architecture and Operating Systems (modules 3-4)]]

[[Mathematical Statistics DSBA 2026/2027 | Mathematical Statistics (modules 3-4)]]

[[Machine Learning 1 DSBA 2026/2027 modules 3-4 | Machine Learning 1 (modules 3-4)]]

[[Differential Equations DSBA 2026/2027 | Differential Equations (modules (3-4)]]

'''Minors'''

[[Business and Management in Global Context DSBA 2026/2027 | Business and Management in Global Context (modules 1-4)]]

[[Introduction to Finance DSBA 2026/2027 | Introduction to Finance (modules 1-4)]]

||
'''3rd year DSBA 2026/2027'''

[[Databases DSBA 2026/2027 | Databases (modules 1-2)]]

[[Deep Learning DSBA 2026/2027 | Deep Learning (modules 1-2)]]

[[Optimization Methods DSBA 2026/2027 | Optimization Methods (modules 1-2)]]

[[Stochastic processes and applications DSBA 2026/2027 | Stochastic processes and applications (modules 1-2)]]

[[Time Series Analysis DSBA 2026/2027 | Time Series Analysis (modules 3-4)]]

'''Minors'''

[[Introduction to Entrepreneurship DSBA 2026/2027 | Introduction to Entrepreneurship (business minor, modules 1-2)]]

[[Information Systems Management DSBA 2026/2027 | Information Systems Management (business minor, modules 3-4)]]

[[Econometrics DSBA 2026/2027 | Elements of Econometrics (finance minor, modules 1-4)]]

'''Specialization Data Science in Business'''

[[Research Seminar "Data Analysis in Business" DSBA 2026/2027 | Research Seminar "Data Analysis in Business“ (modules 1-4)]]

[[Product Development: From Idea to Production DSBA 2026/2027 | Product Development: From Idea to Production (modules 1-2)]]

[[Investment Management for Business DSBA 2026/2027 | Investment Management for Business (modules 3-4)]]

'''Specialization Data Science in Finance'''

[[Research Seminar "Data Science in Finance" DSBA 2026/2027 | Research Seminar "Data Science in Finance" (modules 1-4)]]

[[Financial Mathematics DSBA 2026/2027 | Financial Mathematics (modules 1-2)]]

[[Risk Management in Bank DSBA 2026/2027 | Risk Management in Bank (modules 3-4)]]

'''Specialization Data Analysis in Applied Research'''

[[Research Seminar "Data Science in Applied Research" DSBA 2026/2027 | Research Seminar "Data Science in Applied Research" (modules 1-4)]]

[[Methods of Mathematical Modeling DSBA 2026/2027 | Methods of Mathematical Modeling (modules 1-2)]]

[[Applied Statistics for Machine Learning DSBA 2026/2027 | Applied Statistics for Machine Learning (modules 3-4)]]

'''Electives (modules 3-4)'''

[[Operations Research and Game Theory DSBA 2026/2027 | Operations Research and Game Theory]]

[[Advanced Statistical Methods DSBA 2026/2027 | Advanced Statistical Methods]]

[[Cоmputer Vision DSBA 2026/2027 | Cоmputer Vision]]

||
'''4th year DSBA 2026/2027'''

[[Strategy DSBA 2026/2027 | Strategy (modules 1-3)]]

[[Statistical Methods for Market Research DSBA 2026/2027 | Statistical Methods for Market Research (module 3)]]

'''Specialization Data Science in Business'''

[[Research Seminar "Data Analysis in Business 2" DSBA 2026/2027 | Research Seminar "Data Analysis in Business 2“ (modules 1-3)]]

[[Core Management Concepts DSBA 2026/2027 | Core Management Concepts (modules 1-3)]]

'''Specialization Data Science in Finance'''

[[Research Seminar "Data Science in Financial Markets" DSBA 2026/2027 | Research Seminar "Data Science in Financial Markets" (modules 1-3)]]

[[Asset Pricing and Financial Markets DSBA 2026/2027 | Asset Pricing and Financial Markets (modules 1-3)]]

'''Specialization Data Analysis in Applied Research'''

[[Research Seminar "Data Science in Applied Research 2" DSBA 2026/2027 | Research Seminar "Data Science in Applied Research 2" (modules 1-3)]]

[[Classical and Neural Modeling DSBA 2026/2027 | Classical and Neural Modeling (modules 1-3)]]

'''Electives block 1 (modules 1-2)'''

[[Introduction to the Study of Language for Computer Scientists DSBA 2026/2027 | Introduction to the Study of Language for Computer Scientists]]

[[Quantitative Finance DSBA 2026/2027 | Quantitative Finance]]

[[Information Security Risk Management DSBA 2026/2027 | Information Security Risk Management]]

[[Generative Models in Machine Learning DSBA 2026/2027 | Generative Models in Machine Learning]]

[[Natural Language Processing DSBA 2026/2027 | Natural Language Processing]]

'''Electives block 2 (module 3)'''

[[Information Systems DSBA 2026/2027 | Information Systems]]

[[Recommender Systems DSBA 2026/2027 | Recommender Systems]]

|-
| colspan="4" style="text-align: center;" | '''КНАД'''
|-
|
[[Программирование на С++ КНАД ВСН 26-27]]

[[Дискретная_Математика_КНАД_2026/27 | Дискретная математика 2026/27 (КНАД)]]

[[Программирование_на_Python_КНАД_26/27 | Программирование на Python 26/27 (КНАД)]]

[[Python_для_сбора_и_анализа_данных_КНАД_26/27 | Python для сбора и анализа данных КНАД 26/27]]

[[Алгоритмы и структуры данных - 1 2026/2027 2 модуль (КНАД)]]

[[Алгоритмы и структуры данных 2026/2027 4 модуль КНАД]]

[[Линейная алгебра КНАД 26/27]]

[[Математический Анализ КНАД 26/27]]

[[ИПР КНАД 26/27]]

||
[[Алгебра КНАД 2026/2027 | Алгебра]]

[[Алгоритмы_и_структуры_данных_2_КНАД_26/27 | Алгоритмы и структуры данных-2]]

[[Математический_анализ_2_КНАД_2026/27 | Математический анализ-2 2026/27 (КНАД)]]

[[Теория_вероятностей_КНАД_2026/27 | Теория вероятностей 2026/27 (КНАД)]]

[[ACOS_COMPDS_2026/27 | Архитектура Компьютера и Операционные Системы]]

[[Математическая_статистика_КНАД_2026/27 | Математическая статистика 2026/27 (КНАД)]]

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ЭАД'''
|-
|
[[Алгоритмы и структуры данных-1 2026/2027 2 модуль (ЭАД)]]

[[Алгоритмы и структуры данных-1 2026/2027 4 модуль (ЭАД)]]

[[Программирование на С++ ЭАД 26/27]]

[[Язык программирования Python 2026/27 (ЭАД) ]]

[[DM1EAD-2026-27 | Дискретная математика 2026/27 (ЭАД)]]

[[Линейная_алгебра_и_геометрия_на_ПМИ_2026/2037_(основной_поток) | Линейная алгебра и геометрия]]

[[Математический_анализ_1_2026/27_(основной_поток)_ЭАД | Математический анализ-1 (ЭАД)]]
||

[[Алгоритмы и структуры данных 2 ЭАД 26/27 | Алгоритмы и структуры данных-2]]

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ДРИП'''
|-
|
[[Алгоритмы и структуры данных-1 (ДРИП)]]

[[Ddip2630 | Линейная алгебра и геометрия]]

[[DM_DRIP-2026-27 | Дискретная математика 2026/27 (ДРИП)]]

||
[[Теория_вероятностей_ДРИП_26/27 | Теория вероятностей 2026/27 (ДРИП)]]

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''РИЦП'''
|-
|
[[Математика для компьютерной графики (РИЦП)]]

||
 

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ПИРС'''
|-
|
[[Линейная алгебра ПИРС 26/27]]

||
 

||
 

||
 

|}

== Курсы в рамках проекта [https://www.hse.ru/dataculture/ Data Culture] ==

{| class="wikitable"
|-
! Осенний семестр !! Весенний семестр
|-
|
|
|}

== Курсы магистратуры ФКН ==
{| class="wikitable"
|-
! Ссылка !! Дисциплина !! Год обучения
|-
| [[ NIS-TCS-26-27 | НИС Теоретическая информатика ]] || НИС ТИ || СКН, 1-2 год
|-
| [[MOTV_2026 | Mathematical foundations of probability theory]] || Math of Machine Learning, MML || 1 year
|-
| [[MC_2026 | Markov Chains]] || Math of Machine Learning, MML || 1 year
|-
| [[Sample_2027 | Sampling and Generative Modeling ]] || Math of Machine Learning, MML || 1 year
|}

== Курсы других факультетов ==

{| class="wikitable"
|-
! Дисциплина !! Курс !! Период
|-
|}

== Факультативы ==

{| class="wikitable"
|-
! Дисциплина !! Период
|-
| [[Аналитическая_теория_чисел:_приложения_комплексного_анализа_26/27 | Аналитическая теория чисел: приложения комплексного анализа 26/27]] || 1-2 модуль
|-
|}

= Архив до 2025/26 учебного года включительно =
[[Wiki ФКН/Архив]]

Wiki ФКН

2026-08-27T16:08:15Z

M.abdulkhakimov: /* Курсы за 2026/27 учебный год */

__NOTOC__
= Учебные курсы факультета компьютерных наук =

{| class="wikitable"
|-
! colspan="2" | <div style="text-align: center;">'''Навигация'''</div>
|-
! [[#bachelors|Курсы бакалавриата ФКН]]
| <div style="text-align:center">[[#AMI|ПМИ]] · [[#SE|ПИ]] · [[#DSBA|ПАД]] · [[#compds|КНАД]] · [[#EDA|ЭАД]] · [[#DRIP|ДРИП]] · [[#RICP|РИЦП]] · [[#DIRS|ПИРС]] · [[#electives|майноры и факультативы]]</div>
|-
! colspan="2" | [[#DataCulture|Курсы в рамках проекта Data Culture]] · [[#masters|Курсы магистратуры ФКН]] · [[#other|Курсы других факультетов]] · [[#archive|Архив]]
|}

== Курсы за 2026/27 учебный год ==
{| class="wikitable courses"
|-

! width="21%" | 1 курс !! width="21%" | 2 курс !! width="21%" | 3 курс !! width="21%" | 4 курс !! rowspan="2" | '''майноры и факультативы'''
|-
| colspan="4" style="text-align: center;" | '''ПМИ'''
|-
|

'''М+'''

[[Линейная_алгебра_и_геометрия_на_ПМИ_2026/2027_(пилотный_поток) | Линейная алгебра и геометрия (пилотный поток)]]

[[Математический_анализ_1_2026/27_(пилотный_поток) | Математический анализ-1 (пилотный поток)]]

[[Дискретная математика_на_ПМИ_2026/2027_(пилотный_поток) | Дискретная математика (пилотный поток)]]

[[Теория_чисел_(пилотный_поток)_2026/27 | Теория чисел (пилотный поток)]]

[[Алгебра_на_ПМИ_2026/2027_(пилотный_поток) | Алгебра (пилотный поток)]]

'''М'''

[[Линейная_алгебра_и_геометрия_на_ПМИ_2026/2027_(основной_поток) | Линейная алгебра и геометрия (основной поток)]]

[[Математический_анализ_1_2026/27_(основной_поток) | Математический анализ-1 (ПМИ основной поток)]]

[[DM1PMIbase-2026-27 | Дискретная математика (ПМИ основной поток)]]

[[Теория_чисел_(основной_поток)_2026/27 | Теория чисел (основной поток)]]

[[Алгебра_на_ПМИ_2026/2027_(основной_поток) | Алгебра (основной поток)]]

'''П'''

[[Язык программирования Python 2026/27 (основной поток) ]]

[[Алгоритмы и структуры данных 1 (основной поток) (4 модуль) 2026/2027]]

'''П+'''

[[Язык программирования C++ (пилотный поток) ]]

[[Алгоритмы и структуры данных пилотный поток 2026/2027 | Алгоритмы и структуры данных (пилотный поток)]]

||

'''М+'''

[[Математический_Анализ_2_на_ПМИ_2026/27_(пилотный_поток) | Математический анализ 2 (пилотный поток)]]

[[Теория_вероятностей_2026/27_(пилотный_поток) | Теория вероятностей (пилотный поток)]]

[[Математическая_статистика-1_2026/27_(пилотный_поток) | Математическая статистика-1 (пилотный поток)]]

'''М'''

[[Теория_вероятностей_на_ПМИ_2026/2027_(основной_поток) | Теория вероятностей (основной поток)]]

[[Математический_анализ_-_2_(основной_поток)_ПМИ_и_ЭАД_2026/2027 | Математический анализ-2 (ПМИ + ЭАД)]]

[[Математическая_статистика_2026/27_(основной_поток) | Математическая статистика (основной поток)]]

 

'''П'''

[[Мachine Learning 1 | Машинное обучение 1]]

[[Язык_программирования_Python_(углубленный_курс) | Язык программирования Python (углубленный курс)]]
 

[[CAOS-2026/27 | Архитектура компьютеров и операционные системы]]

[[Инструменты_промышленной_разработки | Инструменты промышленной разработки]]

[[Алгоритмы_и_структуры_данных_2_2026/27 | Алгоритмы и структуры данных 2 2026/27]]

[[Язык_программирования_Go | Язык программирования Go]]

[[Комплексный анализ 2026/27]]

[[Функциональный анализ 2026/27]]

[[ Дискретная_математика_2_2026/27 | Дискретная математика 2 2026/27 ]]

[[Основы матричных вычислений 2026/27]]

[[Дифференциальные уравнения 2026/2027]]

||

[[ PE101-26-27 | Performance engineering 101 ]]

[[ Стохастический_анализ_(весна_2027) | Стохастический анализ ]]

[[Функциональное_программирование_2026/2027 | Функциональное программирование]]

[[ Основы_тензорных_вычислений_(2026/27) | Основы тензорных вычислений ]]

[[Рекомендательные системы 2026/27 | Рекомендательные системы]]

[[Глубинное обучение 1 26/27 | Введение в глубинное обучение]]

[[ Types_26 | Типы в языках программирования ]]

[[ Безопасность_компьютерных_систем_26/27 | Безопасность компьютерных систем ]]

[[ Моделирование временных рядов 2026/27 | Моделирование временных рядов ]]

[[ Случайные_процессы_приложения_2026/27 | Случайные процессы и их приложения ]]

'''ПМИ / МОП'''

[[Машинное_обучение_1_26/27 | Машинное обучение 1]]

[[Математическая_статистика_2_2026/2027 | Математическая статистика 2]]

[[ML_Research_Seminar_1 | НИС Машинное Обучение и Приложения 1]]

[[Машинное_обучение_2/2026_2027 | Машинное обучение 2]]

'''ПМИ / РС'''

[https://docs.google.com/document/d/1sHfi9_m4hx4y0iIgQEueMCr4qokLxh2Bvyzw_MdE2iI/edit?usp=sharing Распределенные системы]

[https://docs.google.com/document/d/1Hqu7iVY0FpYVujjNpIClkIMOQy32YWJpJHZKPSrOtmA/edit?usp=sharing НИС Распределенные системы]

'''ПМИ / ТИ'''

[[ NIS-TCS-26-27 | НИС Теоретическая информатика ]]

[[KKTI-26-27 | Комбинаторные конструкции в теоретической информатике]]

 

||

[[ PE101-26-27 | Performance engineering 101 ]]

[[Генеративные модели на основе диффузии (26/27)]]

[[Большие_языковые_модели_26_27 | Большие языковые модели]]

[[Theory_of_computation_2026 | Theory of computation]]

[[Statistical_learning_theory_2027 | Statistical learning theory]]

[[Теория_и_практика_онлайн-экспериментов_26/27 | Теория и практика онлайн-экспериментов]]

[[Современный_NLP_и_большие_языковые_модели_27 | Современный NLP и большие языковые модели]]

[[Эффективные_системы_глубинного_обучения_26/27 | Эффективные системы глубинного обучения 26/27]]

[[ Haskell_27 | Промышленное программирование на Haskell ]]

[[ zkSNARK_27 | Протоколы доказательств с нулевым разглашением ]]

[[ Развёртывание_ML-моделей_в_высоконагруженных_системах_27 | Развёртывание ML-моделей в высоконагруженных системах ]]

'''ПМИ / МОП'''

[[Глубинное обучение 2 2026| Глубинное обучение 2]]

[[ML_Research_Seminar_2 | НИС Машинное Обучение и Приложения 2]]

[[LSML 2026/2027 | Машинное обучение для больших данных]]

'''ПМИ / РС'''

[? НИС Распределенные системы 2]

[? Методы и системы обработки больших данных]

'''ПМИ / ТИ'''

[[ NIS-TCS-26-27 | НИС Теоретическая информатика ]]

[[ OWF-26-27 | Односторонние функции и их применения ]]

[[ ConvApprox27 | Выпуклое программирование и аппроксимационные алгоритмы ]]

[[AT-26-27 | Теория автоматов, формальные языки, регулярные выражения]]

 

| rowspan="15" |


[[Майнор_Биоинформатика_1_год_2026/27|Биоинформатика 1 год 2026/27]]

[[Майнор_Биоинформатика_2_год_2026/27|Биоинформатика 2 год 2026/27]]

[[Введение_в_программирование_26/27|Введение в программирование. Питон 26/27]]

[[Введение_в_базы_данных_26/27|Введение в базы данных 26/27]]

[[Основы_глубинного_обучения_26/27|Основы глубинного обучения 26/27]]

[[Основы_машинного_обучения/2027|Основы машинного обучения 26/27]]

[[Прикладные_задачи_анализа_данных/2027|Прикладные задачи анализа данных 26/27]]

[[Kolmogorov_complexity_fall2026|Introduction to Kolmogorov complexity]]

[[Complexity_theory_2027|Теория вычислений]]

|-
| colspan="4" style="text-align: center;" | '''ПИ'''
|-
|

[[Алгебра_ПИ_2026-2027|Алгебра 26/27]]

[[Дискретная_математика_26/27|Дискретная математика 26/27]]

[[Математический_анализ_26/27|Математический анализ 26/27]]

|
[[НИС_Методы_и_алгоритмы_защиты_информации_26/27|НИС Методы и алгоритмы защиты информации 26/27]]

[[Теория_вероятностей_26/27|Теория вероятностей 26/27]]

[[Математическая_статистика_26/27 | Математическая статистика 2026/27]]
|
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ПАД'''
|-
|
'''1st year DSBA 2026/2027'''

[[Calculus 1 DSBA 2026/2027 | Calculus 1 (modules 1-4)]]

[[C++ Programming Language DSBA 2026/2027 | C++ Programming Language (modules 1-2)]]

[[English DSBA 2026/2027 | English Language (modules 1-4)]]

[[LAaG DSBA 2026/2027 | Linear Algebra and Geometry (modules 1-4)]]

[[Discrete Mathematics 1 DSBA 2026/2027 | Discrete Mathematics 1 (modules 1-3)]]

[[Russian History DSBA 2026/2027 | Russian History (modules 1-4)]]

[[Economics DSBA 2026/2027 | Economics (modules 2-3)]]

[[Foundations of Russian Statehood DSBA 2026/2027 | Foundations of Russian Statehood (module 3)]]

[[Python for Data Science DSBA 2026/2027 | Python for Data Science (module 3)]]

[[Algebra DSBA 2026/2027 | Algebra (module 4)]]

[[Algorithms and Data Structures 1 DSBA 2026/2027 | Algorithms and Data Structures 1 (module 4)]]

[[Fundamentals of Software Engineering DSBA 2026/2027 | Fundamentals of Software Engineering (module 4)]]

||
'''2nd year DSBA 2026/2027'''

[[Algorithms and Data Structures DSBA 2026/2027 | Algorithms and Data Structures (modules 1-3)]]

[[Discrete Mathematics 2 DSBA 2026/2027 | Discrete Mathematics 2 (modules 1-2)]]

[[Calculus 2 DSBA 2026/2027 | Calculus 2 (modules 1-2)]]

[[Probability Theory DSBA 2026/2027 | Probability Theory (modules 1-2)]]

[[Introduction to Micro and Macroeconomics DSBA 2026/2027 | Introduction to Micro and Macroeconomics (modules 1-4)]]

[[Computer Architecture and Operating Systems DSBA 2026/2027 | Computer Architecture and Operating Systems (modules 3-4)]]

[[Mathematical Statistics DSBA 2026/2027 | Mathematical Statistics (modules 3-4)]]

[[Machine Learning 1 DSBA 2026/2027 modules 3-4 | Machine Learning 1 (modules 3-4)]]

[[Differential Equations DSBA 2026/2027 | Differential Equations (modules (3-4)]]

'''Minors'''

[[Business and Management in Global Context DSBA 2026/2027 | Business and Management in Global Context (modules 1-4)]]

[[Introduction to Finance DSBA 2026/2027 | Introduction to Finance (modules 1-4)]]

||
'''3rd year DSBA 2026/2027'''

[[Databases DSBA 2026/2027 | Databases (modules 1-2)]]

[[Deep Learning DSBA 2026/2027 | Deep Learning (modules 1-2)]]

[[Optimization Methods DSBA 2026/2027 | Optimization Methods (modules 1-2)]]

[[Stochastic processes and applications DSBA 2026/2027 | Stochastic processes and applications (modules 1-2)]]

[[Time Series Analysis DSBA 2026/2027 | Time Series Analysis (modules 3-4)]]

'''Minors'''

[[Introduction to Entrepreneurship DSBA 2026/2027 | Introduction to Entrepreneurship (business minor, modules 1-2)]]

[[Information Systems Management DSBA 2026/2027 | Information Systems Management (business minor, modules 3-4)]]

[[Econometrics DSBA 2026/2027 | Elements of Econometrics (finance minor, modules 1-4)]]

'''Specialization Data Science in Business'''

[[Research Seminar "Data Analysis in Business" DSBA 2026/2027 | Research Seminar "Data Analysis in Business“ (modules 1-4)]]

[[Product Development: From Idea to Production DSBA 2026/2027 | Product Development: From Idea to Production (modules 1-2)]]

[[Investment Management for Business DSBA 2026/2027 | Investment Management for Business (modules 3-4)]]

'''Specialization Data Science in Finance'''

[[Research Seminar "Data Science in Finance" DSBA 2026/2027 | Research Seminar "Data Science in Finance" (modules 1-4)]]

[[Financial Mathematics DSBA 2026/2027 | Financial Mathematics (modules 1-2)]]

[[Risk Management in Bank DSBA 2026/2027 | Risk Management in Bank (modules 3-4)]]

'''Specialization Data Analysis in Applied Research'''

[[Research Seminar "Data Science in Applied Research" DSBA 2026/2027 | Research Seminar "Data Science in Applied Research" (modules 1-4)]]

[[Methods of Mathematical Modeling DSBA 2026/2027 | Methods of Mathematical Modeling (modules 1-2)]]

[[Applied Statistics for Machine Learning DSBA 2026/2027 | Applied Statistics for Machine Learning (modules 3-4)]]

'''Electives (modules 3-4)'''

[[Operations Research and Game Theory DSBA 2026/2027 | Operations Research and Game Theory]]

[[Advanced Statistical Methods DSBA 2026/2027 | Advanced Statistical Methods]]

[[Cоmputer Vision DSBA 2026/2027 | Cоmputer Vision]]

||
'''4th year DSBA 2026/2027'''

[[Strategy DSBA 2026/2027 | Strategy (modules 1-3)]]

[[Statistical Methods for Market Research DSBA 2026/2027 | Statistical Methods for Market Research (modules 3)]]

'''Specialization Data Science in Business'''

[[Research Seminar "Data Analysis in Business 2" DSBA 2026/2027 | Research Seminar "Data Analysis in Business 2“ (modules 1-3)]]

[[Core Management Concepts DSBA 2026/2027 | Core Management Concepts (modules 1-3)]]

'''Specialization Data Science in Finance'''

[[Research Seminar "Data Science in Financial Markets" DSBA 2026/2027 | Research Seminar "Data Science in Financial Markets" (modules 1-3)]]

[[Asset Pricing and Financial Markets DSBA 2026/2027 | Asset Pricing and Financial Markets (modules 1-3)]]

'''Specialization Data Analysis in Applied Research'''

[[Research Seminar "Data Science in Applied Research 2" DSBA 2026/2027 | Research Seminar "Data Science in Applied Research 2" (modules 1-3)]]

[[Classical and Neural Modeling DSBA 2026/2027 | Classical and Neural Modeling (modules 1-3)]]

'''Electives block 1 (modules 1-2)'''

[[Introduction to the Study of Language for Computer Scientists DSBA 2026/2027 | Introduction to the Study of Language for Computer Scientists]]

[[Quantitative Finance DSBA 2026/2027 | Quantitative Finance]]

[[Information Security Risk Management DSBA 2026/2027 | Information Security Risk Management]]

[[Generative Models in Machine Learning DSBA 2026/2027 | Generative Models in Machine Learning]]

[[Natural Language Processing DSBA 2026/2027 | Natural Language Processing]]

'''Electives block 2 (module 3)'''

[[Information Systems DSBA 2026/2027 | Information Systems]]

[[Recommender Systems DSBA 2026/2027 | Recommender Systems]]

|-
| colspan="4" style="text-align: center;" | '''КНАД'''
|-
|
[[Программирование на С++ КНАД ВСН 26-27]]

[[Дискретная_Математика_КНАД_2026/27 | Дискретная математика 2026/27 (КНАД)]]

[[Программирование_на_Python_КНАД_26/27 | Программирование на Python 26/27 (КНАД)]]

[[Python_для_сбора_и_анализа_данных_КНАД_26/27 | Python для сбора и анализа данных КНАД 26/27]]

[[Алгоритмы и структуры данных - 1 2026/2027 2 модуль (КНАД)]]

[[Алгоритмы и структуры данных 2026/2027 4 модуль КНАД]]

[[Линейная алгебра КНАД 26/27]]

[[Математический Анализ КНАД 26/27]]

[[ИПР КНАД 26/27]]

||
[[Алгебра КНАД 2026/2027 | Алгебра]]

[[Алгоритмы_и_структуры_данных_2_КНАД_26/27 | Алгоритмы и структуры данных-2]]

[[Математический_анализ_2_КНАД_2026/27 | Математический анализ-2 2026/27 (КНАД)]]

[[Теория_вероятностей_КНАД_2026/27 | Теория вероятностей 2026/27 (КНАД)]]

[[ACOS_COMPDS_2026/27 | Архитектура Компьютера и Операционные Системы]]

[[Математическая_статистика_КНАД_2026/27 | Математическая статистика 2026/27 (КНАД)]]

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ЭАД'''
|-
|
[[Алгоритмы и структуры данных-1 2026/2027 2 модуль (ЭАД)]]

[[Алгоритмы и структуры данных-1 2026/2027 4 модуль (ЭАД)]]

[[Программирование на С++ ЭАД 26/27]]

[[Язык программирования Python 2026/27 (ЭАД) ]]

[[DM1EAD-2026-27 | Дискретная математика 2026/27 (ЭАД)]]

[[Линейная_алгебра_и_геометрия_на_ПМИ_2026/2037_(основной_поток) | Линейная алгебра и геометрия]]

[[Математический_анализ_1_2026/27_(основной_поток)_ЭАД | Математический анализ-1 (ЭАД)]]
||

[[Алгоритмы и структуры данных 2 ЭАД 26/27 | Алгоритмы и структуры данных-2]]

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ДРИП'''
|-
|
[[Алгоритмы и структуры данных-1 (ДРИП)]]

[[Ddip2630 | Линейная алгебра и геометрия]]

[[DM_DRIP-2026-27 | Дискретная математика 2026/27 (ДРИП)]]

||
[[Теория_вероятностей_ДРИП_26/27 | Теория вероятностей 2026/27 (ДРИП)]]

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''РИЦП'''
|-
|
[[Математика для компьютерной графики (РИЦП)]]

||
 

||
 

||
 

|-
| colspan="4" style="text-align: center;" | '''ПИРС'''
|-
|
[[Линейная алгебра ПИРС 26/27]]

||
 

||
 

||
 

|}

== Курсы в рамках проекта [https://www.hse.ru/dataculture/ Data Culture] ==

{| class="wikitable"
|-
! Осенний семестр !! Весенний семестр
|-
|
|
|}

== Курсы магистратуры ФКН ==
{| class="wikitable"
|-
! Ссылка !! Дисциплина !! Год обучения
|-
| [[ NIS-TCS-26-27 | НИС Теоретическая информатика ]] || НИС ТИ || СКН, 1-2 год
|-
| [[MOTV_2026 | Mathematical foundations of probability theory]] || Math of Machine Learning, MML || 1 year
|-
| [[MC_2026 | Markov Chains]] || Math of Machine Learning, MML || 1 year
|-
| [[Sample_2027 | Sampling and Generative Modeling ]] || Math of Machine Learning, MML || 1 year
|}

== Курсы других факультетов ==

{| class="wikitable"
|-
! Дисциплина !! Курс !! Период
|-
|}

== Факультативы ==

{| class="wikitable"
|-
! Дисциплина !! Период
|-
| [[Аналитическая_теория_чисел:_приложения_комплексного_анализа_26/27 | Аналитическая теория чисел: приложения комплексного анализа 26/27]] || 1-2 модуль
|-
|}

= Архив до 2025/26 учебного года включительно =
[[Wiki ФКН/Архив]]

Algebra DSBA 2025/2026

2026-04-23T16:45:10Z

M.abdulkhakimov:

= Teachers and assistants =

{| class="wikitable" style="text-align:center"
|-
! Группа !! 251 !! 252 !! 253 !! 254 !! 255 !! 256 !! 257
|-
|| Lecturer ||colspan="7"| [https://www.hse.ru/org/persons/224875083 Andrew Mazhuga]
|-
|| Teacher || [https://www.hse.ru/org/persons/225516943/ Ivan Beldiev] || [https://www.hse.ru/org/persons/224875083 Andrew Mazhuga] || [https://www.hse.ru/org/persons/305077523/ Andey Zhizhin] || [https://www.hse.ru/org/persons/697229842 Dmitry Gayfulin] || [https://www.hse.ru/en/org/persons/1083814039/ Subin Pulari] || [https://www.hse.ru/org/persons/697229842 Dmitry Gayfulin] || [https://www.hse.ru/en/org/persons/1087367159/ Ananya Pal]
|-
|| Assistant || [https://t.me/svvika06 Viktoriya Sliva] || [https://t.me/zilervarls Illarion Illarionov-Zervas] || [https://t.me/marshmel_m Maria Sudarikova] || [https://t.me/yachatoyer Vadim Andrianov] || [https://t.me/Avgustine_iw Zakhar Zinkin] || [https://t.me/zlata_vr Zlata Vronskaya] || [https://t.me/Ignkos Ignat Kostyuchenko]
|}

= Consultations schedule =

{| class="wikitable"
|-
! !! Teacher/Assistant !! How to contact !! When
|-
| <center>1</center> || Ivan Beldiev || ||
|-
| <center>2</center> || Andrew Mazhuga ||
|-
| <center>3</center> || Andey Zhizhin || ||
|-
| <center>4</center> || Dmitry Gayfulin || ||
|-
| <center>5</center> || Subin Pulari || ||
|-
| <center>6</center> || Ananya Pal || ||
|}

= Grading system =

The final grade is computed as follows

F = 0,3 * H + 0,3 T + 0,4 E

where H is the grade for the home assignments, T is the written test grade, and E is the final exam grade.

Only the final grade is rounded in the final formula according to the standard rule.

= Lecture abstracts =

'''Lecture 1''' (06.04.2026). Binary operations. Associativity, neutral element, inverse element, commutativity. Definition of a group. Additive and multiplicative notations. Subgroups and cyclic subgroups. The order of an element of a group.

'''Lecture 2''' (13.04.2026). Classification of cyclic groups. The subgroups of the group of integers. The subgroups of the group Z_n. Left and right cosets, examples. Normal subgroups. The Lagrange theorem and its corollaries.

'''Lecture 3''' (20.04.2026). Homomorphisms and Isomorphisms of groups. Image and kernel of a homomorphism. Normal subgroups. Direct product of groups. Finite Abelian Groups. The Chinese Remainder Theorem. Structure of a finite abelian group.

= Problem sheets =

The solutions should be sent to your teaching assistant before the beginning of the next seminar. If you send the solution after the deadline your grade will be multiplied by 0.7t where t -- is the time passed after the deadline in days (not rounded). So, it is not an issue to send your work 1 or 2 hours after the deadline.

'''Seminar 1''' [https://disk.yandex.ru/d/ikcTBq5kJDP1iw Problems]

'''Seminar 2''' [https://disk.yandex.ru/d/0da7rDLB2b2O_w Problems]

'''Seminar 3''' [https://disk.yandex.ru/i/lsR5vMFIwP9F_Q Problems]

'''Seminar 4''' [https://disk.yandex.ru/i/cFA__aXT662WEA Problems]

'''Seminar 5''' [https://disk.yandex.ru/i/lzYLUAMfHDBI2Q Problems]

'''Seminar 6''' [https://disk.yandex.ru/i/nUvIl-eGV6-clg Problems]

'''Seminar 7''' [https://disk.yandex.ru/i/jZFQDVf9apa-1Q Problems]

'''Seminar 8''' [https://disk.yandex.ru/i/qPfdD9lx4L4k1A Problems]

'''Seminar 9''' [https://disk.yandex.ru/i/BBa2BeQBppa8hw Problems]

= Test =

= Exam =

= Results =

* Homework

{| class="wikitable" style="text-align:center"
|-
! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=640844189#gid=640844189 251] !! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=1741402532#gid=1741402532 252] !! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=768569277#gid=768569277 253] !! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=1908497780#gid=1908497780 254] !! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=1202082300#gid=1202082300 255] !! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=1775720605#gid=1775720605 256] !! [https://docs.google.com/spreadsheets/d/1hK7_YGpjOuCuR1EUNRoX8MA2bvW4RBsvSOxWI_EZ0Dc/edit?gid=1415205961#gid=1415205961 257]
|}

* Test

{| class="wikitable" style="text-align:center"
|-
! [ 251] !! [ 252] !! [ 253] !! [ 254] !! [ 255] !! [ 256] !! [ 257]
|}

* Summary Statement

{| class="wikitable" style="text-align:center"
|-
! [ 251] !! [ 252] !! [ 253] !! [ 254] !! [ 255] !! [ 256] !! [ 257]
|}

= Links =

* Telegram [https://t.me/+FfauFK5xoc02OTVi group] of the course.

* [https://github.com/DimaTrushin/Algebra-DSBA/ Lecture Notes]

* [https://www.hse.ru/ba/data/courses/1071149750.html Syllabus]

Python for Data Science DSBA 2025/2026

2026-03-23T17:27:53Z

M.abdulkhakimov: Новая страница: «[https://www.hse.ru/ba/data/courses/1071113650.html Syllabus]»

[https://www.hse.ru/ba/data/courses/1071113650.html Syllabus]

Algorithms and Data Structures 1 DSBA 2025/2026

2026-03-23T17:27:19Z

M.abdulkhakimov: Новая страница: «[https://www.hse.ru/ba/data/courses/1072953806.html Syllabus]»

[https://www.hse.ru/ba/data/courses/1072953806.html Syllabus]

Algebra DSBA 2025/2026

2026-03-23T17:26:18Z

M.abdulkhakimov: Новая страница: «[https://www.hse.ru/ba/data/courses/1071149750.html Syllabus]»

[https://www.hse.ru/ba/data/courses/1071149750.html Syllabus]

Econometrics DSBA 2025/2026

2026-03-23T17:22:59Z

M.abdulkhakimov:

== Syllabus ==
Syllabus may be found via links:

[https://www.hse.ru/edu/courses/1048797373 Econometrics 1]

[https://www.hse.ru/edu/courses/1048797388 Econometrics 2]

Foundations of Russian Statehood DSBA 2025/2026

2026-03-23T17:22:07Z

M.abdulkhakimov: Новая страница: «[https://www.hse.ru/ba/data/courses/1072953798.html Syllabus]»

[https://www.hse.ru/ba/data/courses/1072953798.html Syllabus]

Business and Management in Global Context DSBA 2025/2026

2026-03-23T17:19:17Z

M.abdulkhakimov:

== [https://www.hse.ru/edu/courses/1086253984 BMGC1 Syllabus]

[https://www.hse.ru/edu/courses/1086253992 BMGC2 Syllabus] ==

The course provides a review of international management as an area of theoretical development as well as a field of practice. It comprises the problem areas of globalization, the world economy and modern approaches to organisation and business. Main blocks of the course are trends and drivers of globalisation, political, economic and legal environments of international business, business ethics and corporate social responsibility in the modern world, international trade and investment, international business strategy, organisation of international business, functional areas of international management (marketing, R&D ect.) global information systems management. The course includes elements of economics, general management theory, psychology, anthropology and sociology. Business cases are used as an application of theoretical concepts.

The main objective of the course is to present modern concepts of international management to the students and help them to develop skills in the analysis of global business both in terms of its internal functioning and interaction with the different types of environment. The purpose of discipline - acquaint students with principles of international management, to demonstrate the use of marketing tools in the international markets and decision-making in this field.

Another learning objective is case-study which allow students to gain knowledge while solving real-world problems provided by different companies

=== Teachers and Assistants ===

{| class="wikitable" style="text-align:center"
|-
| Lecturer & Seminarist ||colspan="4"| E.A. Dimova [mailto:len.dimova@gmail.com len.dimova@gmail.com] tg: [https://t.me/elenadimo @elenadimo]
|-
| Teaching assistants || Leonid Pavlov (Group 1) tg: [https://t.me/leon1dl @leon1dl] || Ivan Fomin (Group 2) tg: [https://t.me/capybaraafterparty @capybaraafterparty] || Nikita Podlednev (Group 3) tg: [https://t.me/x801man @russianjeremyfragrance]
|-
|}

==Useful links & Materials ==
=== [https://docs.google.com/spreadsheets/d/1KAb5oJTC0VaMivS6hB7P5vVq5fE3xYukftqnvXVQpy0 Table with results] ===
=== [https://disk.yandex.ru/d/PMmPt_jWQWidnA Yandex Disk with lecture slides, case studies & textbooks] ===
=== [https://classroom.google.com/c/Nzc0OTg4ODA3NjU3?cjc=5dc7y7lj Classroom Group 1] ===
=== [https://classroom.google.com/c/Nzc0OTg4Njk0MjQ2?cjc=gdrvnsf6 Classroom Group 2] ===
=== [https://classroom.google.com/c/Nzc0OTg5MTY1MDU2?cjc=huqptz6d Classroom Group 3] ===
=== [https://t.me/+JT9yWvlUcCAyMmIy Course Telegram Chat] ===

We also remind you in our course there is a flexible system of penalties for handing in work after the deadline. So, you can hand in your work later, but with a loss of points.

Please find the information about the deadlines, late submissions and penalties.

Late submissions will lead to reduction of your mark for an assignment.

0 day late - 10 points 🏆

1 day late - 9 points ⬇️

2 days late - 8 points ⬇️

3 days late - 7 points ⬇️

4 days late - 6 points ⬇️

5 days late - 5 points ⬇️

6 days late - 4 points ⬇️

7 days late - 0 points ❌

''Example: 2 days late. An assignment meets the criteria for 75% (quality of the answer, depth, examples, etc.). Final mark is 0,75 * 8 = 6''

If you have a valid reason (i.e. illness) to submit your homework after the deadline, please contact your teaching assistant.

== Grading system ==

'''Business & Management in the Global Context- 1'''

'''1st semester grade''' = 0.4 * 2d Module Exam + 0.15 * 1st Module Midterm Test + 0.35 * 1-2 modules in-class and take-home written assignments, presentations, quizzes + 0.1 * 1-2 modules attendance, class activity & participation in class discussions

'''Business & Management in the Global Context- 2'''

'''2d semester grade''' = 0.4 * 4d Module Exam + 0.15 * 3d Module Midterm Test + 0.35 * 3-4 modules in-class and take-home written assignments, presentations, quizzes + 0.1 * 3-4 modules attendance, class activity & participation in class discussions

'''Retakes''' are organized in accordance with the HSE Interim and Ongoing Assessment Regulations. Grade determination after retakes is done in accordance with the syllabus.

Sample materials for knowledge assessment are available in the syllabus.

== Reading ==

'''Obligatory:''' 
- Peng, M. and K. Meyer International business. London: Cengage Learning, 2011. 
- Willcocks, L. Global business management foundations. Stratford: Steve Brookes Publishing, 2013 

- Hill, C. International business: competing in the global marketplace. New York: McGraw Hill, 2010. 
- Dunning, J., Lundan S. Multinational enterprises and the global economy. Cheltenham: Edward Elgar Publishing, 2008. 
- Mintzberg, H. Managing. London: Financial Times/Prentice Hall, 2009. 
- Мескон М. X., Альберт М.. Хедоури Ф. Основы менеджмента / Пер. с англ. М.: Вильямс, 2017. 
- Трифонова Н.В., Максимцев, И.А., Майзель А.И., Пивоваров И.С. Международный бизнес. – СПб,: Питер, 2018. 
- Управление человеческими ресурсами. В 2-х частях/ Под ред. С.А.Баркова, В.И.Зубкова. – М.: ЮРАЙТ, 2017. 
'''Optional:''' 
- Барков С.А. Инновационная бюрократия// ЭКО, 2018, №1. – С.72-89. 
- Барков С.А., Дорохина О.В. Объединения компаний как социальный процесс: современные реалии// Вестник МГУ, Серия 18: Социология и политология, 2017, №2. – С.27-48. 
- Бобина, М. А., Грачев М.В. Стратегические альянсы. - М.: Дело, 2008. 
- Бузгалин А.В., Калганов А.И. Глобальный капитал. – М: Едиториал УРСС, 2007. 
- Вернер Р. Скрытая власть. Как разбогатевшие государства и влиятельные инвесторы контролируют весь мир. 
– М.: Манн, Иванов и Фербер, 2014. 
- Гельвановский М.И. Глобализация. Проблемы конкуренции и интеграции. – М.: РГГУ, 2014. 
- Гемават П. Мир 3.0. Глобальная интеграция без барьеров. – М.: Альпина Паблишер, 2013. 
- Гидденс Э. Ускользающий мир. Как глобализация меняет нашу жизнь. – М.: Весь Мир, 2004. 
- Гозман О.Л. Бизнес – это FUN! От российского стартапа до международной компании. – М.: Альпина Паблишер, 2009. 
- Горелов А.А. Глобальный неоколониализм и русская идея. – М.: Ленанд, 2014. 
- Гринспен А. Эпоха потрясений. Проблемы и перспективы мировой финансовой системы. – М.: Юнайтед Пресс, Альпина Паблишер, 2017. 
- Дэниэлс, Д., Радеба Л. Международный бизнес: внешняя среда и деловые операции. - М.: Дело, 2006. 
- Льюис Р.Д. Столкновение команд. Успешное управление международной командой. – М.: Инфотропик Медиа, 2013. 
- Мальковская И.А. Многоликий Янус открытого общества. Опыт критического осмысления ликов общества в эпоху глобализации. – М.: ЛКИ, 2014. 
- Многоликая глобализация. Культурное разнообразие в современном мире/ Под ред. П.Л.Бергера, С.П. Хантингтона. – М.:Аспект Пресс, 2004. 
- Наумов С.В. Управление международной конкурентоспособностью в системе первоочередных практических задач модернизации экономики России. – М.: Весь Мир, 2013. 
- Нейсбит Дж. Мегатренды. – М.: АСТ, Ермак, 2003. 
- Перкинс Дж. Исповедь экономического убийцы. – М.: Претекст, 2015. 
- Турбан Г. В. Экономика и управление внешнеэкономической деятельностью. – Мн.: БГЭУ, 2007. 
- Хасбулатов Р. И. Мировая экономика – М: ЮРАЙТ, 2016. 
- Хилл Ч. Международный бизнес (International Business: Competing in the Global Marketplace). – СПб.: Питер, 2013. 
- Oshri, I., Kotlarksy J., Willcocks L. The handbook of global outsourcing and offshoring. Basingstoke: Palgrave Macmillan, 2011. 
- Bhagwati, J. In defense of globalization. New York: Oxford University Press, 2007. 
- Dicken, P. Global shift: mapping the changing contours of the world economy. London: Sage, 2010. 
- Hall, P. and D. Soskice (eds) Varieties of capitalism. Oxford: Oxford University Press, 2001. 
- Hofstede, G. Cultures and organizations. New York: McGraw Hill, 1997. 
- Johnson, G., Whittington R., Scholes K. Exploring corporate strategy. London: Financial Times/Prentice Hall, 2010. 
- Laudon, K. Laudon J. Management information systems: managing the digital firm. Harlow: Pearson, 2012. 
- North, D. Understanding the process of economic change. Princeton: Princeton University Press, 2010. 
- Rugman, A., Collinson S. International business. Harlow: Pearson Education, 2012. 
- Willcocks, L. Lacity M. The new IT outsourcing landscape. London: Palgrave, 2012. 
- Williamson, O. The economic institutions of capitalism. New York: Free Press, 1985. 

'''Internet resources:''' 
http://www.ecsocman.edu.ru 
https://hstalks.com/business/ 
http://www.expert.ru 
http://www.aup.ru/books/i002.htm 
http://www.cfin.ru
http://www.management-ru.ru
http://www.managementnews.ru/
http://www.mevriz.ru

Introduction to Finance DSBA 2025/2026

2026-03-23T17:17:59Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="3"| Alina Myalo
|-
| Class teacher || colspan="2"| Yulia Komarova || Irina Kestner
|-
| Consultations || - || - || -
|}

[https://t.me/+1S5kSZC0wp1jNDg6 '''Telegram space''']

== Course Description ==

[https://www.hse.ru/edu/courses/1086254020 Introduction to Finance 1 syllabus]

[https://www.hse.ru/edu/courses/1086254028 Introduction to Finance 2 syllabus]

“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG9-P9/view?usp=sharing '''Lecture 0'''] (03.09.2025) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9RfPu/view?usp=sharing '''Lecture 1'''] (03.09.2025; revised on 16.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5TsYD/view?usp=sharing '''Lecture 2'''] (17.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1Jujwdv1qoBFJ0RLzmoeqfIF_TfoSzfv8/view?usp=sharing '''Lecture 3'''] (24.09.2025) Project appraisal techniques: NPV, IRR, PB; Fisher separation theorem.
* [https://drive.google.com/file/d/1u0XNzqkacNipKQZgjQwq7UNF0mVtSwuM/view?usp=sharing '''Lecture 4'''] (07.10.2025; revised on 14.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity. Corporate bonds. Duration.
* [https://drive.google.com/file/d/12vH1AZ7OF_ZXDKgE8T2hAHy6eZ-Rxkvm/view?usp=sharing '''Lecture 5'''] (05.11.2025) Valuation of stocks. Dividend discount model. Gordon growth model.
* [https://drive.google.com/file/d/1ryexx9yXKZSWnewJbt2aJEMbXNhO3Xw-/view?usp=sharing '''Lecture 6 Part 1'''] (12.11.2025; revised 3.12.2025) Risk and return. Mean-variance frontier.
* [https://drive.google.com/file/d/19wJNKZhN6gSPyq-MpOExt5HhYbnqqK-x/view?usp=sharing '''Lecture 7'''] (3.12.2025) CAPM.
* [https://drive.google.com/file/d/1giqK5D6bZuGqt2qjkTOgLC3_C8hwP9OP/view?usp=sharing '''Lecture 8'''] (9.12.2025) Derivatives.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqwmUj/view?usp=sharing '''Problem Set 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03NRlxv-7/view?usp=sharing '''Problem Set 2'''] (24.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1qU219BSXRbkwI_NykaCZDLGUP8GHqeJk/view?usp=sharing '''Problem Set 3'''] (01.10.2025) Project appraisal techniques: NPV, IRR, PB.
* [https://drive.google.com/file/d/1Sy-gtkCjsXwGFzczK5Oj3d0Cs1s2HG5g/view?usp=sharing '''Problem Set 4'''] (07.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity.
* [https://drive.google.com/file/d/1YfGgTFgQy_egCGO1jjJm0_zCS5xOQ58H/view?usp=sharing '''Problem Set 5'''] (01.11.2025) Duration.
* [https://drive.google.com/file/d/18FZAnUJ5MxunyL98dpW20fkxAP1A8dXm/view?usp=sharing '''Problem Set 6'''] (15.11.2025) Valuation of stocks. Portfolio theory.
* [https://drive.google.com/file/d/1OANS4XFiISuXS8yD8XVayyrhFcFU8Atj/view?usp=sharing '''Problem Set 7'''] (28.11.2025) Capital Asset Pricing model.
* [https://drive.google.com/file/d/1iBO_iwvnNGmERxqMyJsC9Hfnf7Lj191R/view?usp=sharing '''Problem Set 8'''] (9.12.2025) Derivatives.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr3-OIjaZ/view?usp=sharing '''HA 1'''] (posted 24.09.2025; deadline 02.10.2025) Financial system, Time value of money.
* [https://drive.google.com/file/d/1n8gGT3OmVDtUOYklBlvMa8_7B8Qdb08z/view?usp=sharing '''HA 2'''] (posted 5.10.2025; deadline 12.10.2025) Project appraisal techniques.
* [https://drive.google.com/file/d/1bmUeGZfctw1Fr15OKAS4RVB59-juw_pV/view?usp=sharing '''HA 3'''] (posted 12.11.2025; deadline 23.11.2025) Valuation of securities.
* [https://drive.google.com/file/d/1QoDl6B9Fa5UxWjxoJxhxEcNe1SQhrzzX/view?usp=sharing '''HA 4'''] (posted 28.11.2025; deadline 7.12.2025) Portfolio Theory and CAPM.
* [https://drive.google.com/file/d/1GX8n4XQGBp0u95dmFTw3G3hBxuc7GXFQ/view?usp=sharing '''HA 5'''] (posted 13.12.2025; deadline 20.12.2025) Derivatives.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8ARF3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS641TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bcdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Introduction to Finance DSBA 2025/2026

2026-03-23T17:17:47Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="3"| Alina Myalo
|-
| Class teacher || colspan="2"| Yulia Komarova || Irina Kestner
|-
| Consultations || - || - || -
|}

[https://t.me/+1S5kSZC0wp1jNDg6 '''Telegram space''']

== Course Description ==

[https://www.hse.ru/edu/courses/1086254020 Introduction to Finance 1 syllabus]
[https://www.hse.ru/edu/courses/1086254028 Introduction to Finance 2 syllabus]

“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG9-P9/view?usp=sharing '''Lecture 0'''] (03.09.2025) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9RfPu/view?usp=sharing '''Lecture 1'''] (03.09.2025; revised on 16.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5TsYD/view?usp=sharing '''Lecture 2'''] (17.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1Jujwdv1qoBFJ0RLzmoeqfIF_TfoSzfv8/view?usp=sharing '''Lecture 3'''] (24.09.2025) Project appraisal techniques: NPV, IRR, PB; Fisher separation theorem.
* [https://drive.google.com/file/d/1u0XNzqkacNipKQZgjQwq7UNF0mVtSwuM/view?usp=sharing '''Lecture 4'''] (07.10.2025; revised on 14.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity. Corporate bonds. Duration.
* [https://drive.google.com/file/d/12vH1AZ7OF_ZXDKgE8T2hAHy6eZ-Rxkvm/view?usp=sharing '''Lecture 5'''] (05.11.2025) Valuation of stocks. Dividend discount model. Gordon growth model.
* [https://drive.google.com/file/d/1ryexx9yXKZSWnewJbt2aJEMbXNhO3Xw-/view?usp=sharing '''Lecture 6 Part 1'''] (12.11.2025; revised 3.12.2025) Risk and return. Mean-variance frontier.
* [https://drive.google.com/file/d/19wJNKZhN6gSPyq-MpOExt5HhYbnqqK-x/view?usp=sharing '''Lecture 7'''] (3.12.2025) CAPM.
* [https://drive.google.com/file/d/1giqK5D6bZuGqt2qjkTOgLC3_C8hwP9OP/view?usp=sharing '''Lecture 8'''] (9.12.2025) Derivatives.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqwmUj/view?usp=sharing '''Problem Set 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03NRlxv-7/view?usp=sharing '''Problem Set 2'''] (24.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1qU219BSXRbkwI_NykaCZDLGUP8GHqeJk/view?usp=sharing '''Problem Set 3'''] (01.10.2025) Project appraisal techniques: NPV, IRR, PB.
* [https://drive.google.com/file/d/1Sy-gtkCjsXwGFzczK5Oj3d0Cs1s2HG5g/view?usp=sharing '''Problem Set 4'''] (07.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity.
* [https://drive.google.com/file/d/1YfGgTFgQy_egCGO1jjJm0_zCS5xOQ58H/view?usp=sharing '''Problem Set 5'''] (01.11.2025) Duration.
* [https://drive.google.com/file/d/18FZAnUJ5MxunyL98dpW20fkxAP1A8dXm/view?usp=sharing '''Problem Set 6'''] (15.11.2025) Valuation of stocks. Portfolio theory.
* [https://drive.google.com/file/d/1OANS4XFiISuXS8yD8XVayyrhFcFU8Atj/view?usp=sharing '''Problem Set 7'''] (28.11.2025) Capital Asset Pricing model.
* [https://drive.google.com/file/d/1iBO_iwvnNGmERxqMyJsC9Hfnf7Lj191R/view?usp=sharing '''Problem Set 8'''] (9.12.2025) Derivatives.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr3-OIjaZ/view?usp=sharing '''HA 1'''] (posted 24.09.2025; deadline 02.10.2025) Financial system, Time value of money.
* [https://drive.google.com/file/d/1n8gGT3OmVDtUOYklBlvMa8_7B8Qdb08z/view?usp=sharing '''HA 2'''] (posted 5.10.2025; deadline 12.10.2025) Project appraisal techniques.
* [https://drive.google.com/file/d/1bmUeGZfctw1Fr15OKAS4RVB59-juw_pV/view?usp=sharing '''HA 3'''] (posted 12.11.2025; deadline 23.11.2025) Valuation of securities.
* [https://drive.google.com/file/d/1QoDl6B9Fa5UxWjxoJxhxEcNe1SQhrzzX/view?usp=sharing '''HA 4'''] (posted 28.11.2025; deadline 7.12.2025) Portfolio Theory and CAPM.
* [https://drive.google.com/file/d/1GX8n4XQGBp0u95dmFTw3G3hBxuc7GXFQ/view?usp=sharing '''HA 5'''] (posted 13.12.2025; deadline 20.12.2025) Derivatives.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8ARF3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS641TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bcdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Introduction to Finance DSBA 2025/2026

2026-03-23T17:16:32Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="3"| Alina Myalo
|-
| Class teacher || colspan="2"| Yulia Komarova || Irina Kestner
|-
| Consultations || - || - || -
|}

[https://t.me/+1S5kSZC0wp1jNDg6 '''Telegram space''']

== Course Description ==

* [https://www.hse.ru/edu/courses/1086254020] Introduction to Finance 1 syllabus
* [https://www.hse.ru/edu/courses/1086254028] Introduction to Finance 2 syllabus

“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG9-P9/view?usp=sharing '''Lecture 0'''] (03.09.2025) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9RfPu/view?usp=sharing '''Lecture 1'''] (03.09.2025; revised on 16.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5TsYD/view?usp=sharing '''Lecture 2'''] (17.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1Jujwdv1qoBFJ0RLzmoeqfIF_TfoSzfv8/view?usp=sharing '''Lecture 3'''] (24.09.2025) Project appraisal techniques: NPV, IRR, PB; Fisher separation theorem.
* [https://drive.google.com/file/d/1u0XNzqkacNipKQZgjQwq7UNF0mVtSwuM/view?usp=sharing '''Lecture 4'''] (07.10.2025; revised on 14.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity. Corporate bonds. Duration.
* [https://drive.google.com/file/d/12vH1AZ7OF_ZXDKgE8T2hAHy6eZ-Rxkvm/view?usp=sharing '''Lecture 5'''] (05.11.2025) Valuation of stocks. Dividend discount model. Gordon growth model.
* [https://drive.google.com/file/d/1ryexx9yXKZSWnewJbt2aJEMbXNhO3Xw-/view?usp=sharing '''Lecture 6 Part 1'''] (12.11.2025; revised 3.12.2025) Risk and return. Mean-variance frontier.
* [https://drive.google.com/file/d/19wJNKZhN6gSPyq-MpOExt5HhYbnqqK-x/view?usp=sharing '''Lecture 7'''] (3.12.2025) CAPM.
* [https://drive.google.com/file/d/1giqK5D6bZuGqt2qjkTOgLC3_C8hwP9OP/view?usp=sharing '''Lecture 8'''] (9.12.2025) Derivatives.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqwmUj/view?usp=sharing '''Problem Set 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03NRlxv-7/view?usp=sharing '''Problem Set 2'''] (24.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1qU219BSXRbkwI_NykaCZDLGUP8GHqeJk/view?usp=sharing '''Problem Set 3'''] (01.10.2025) Project appraisal techniques: NPV, IRR, PB.
* [https://drive.google.com/file/d/1Sy-gtkCjsXwGFzczK5Oj3d0Cs1s2HG5g/view?usp=sharing '''Problem Set 4'''] (07.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity.
* [https://drive.google.com/file/d/1YfGgTFgQy_egCGO1jjJm0_zCS5xOQ58H/view?usp=sharing '''Problem Set 5'''] (01.11.2025) Duration.
* [https://drive.google.com/file/d/18FZAnUJ5MxunyL98dpW20fkxAP1A8dXm/view?usp=sharing '''Problem Set 6'''] (15.11.2025) Valuation of stocks. Portfolio theory.
* [https://drive.google.com/file/d/1OANS4XFiISuXS8yD8XVayyrhFcFU8Atj/view?usp=sharing '''Problem Set 7'''] (28.11.2025) Capital Asset Pricing model.
* [https://drive.google.com/file/d/1iBO_iwvnNGmERxqMyJsC9Hfnf7Lj191R/view?usp=sharing '''Problem Set 8'''] (9.12.2025) Derivatives.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr3-OIjaZ/view?usp=sharing '''HA 1'''] (posted 24.09.2025; deadline 02.10.2025) Financial system, Time value of money.
* [https://drive.google.com/file/d/1n8gGT3OmVDtUOYklBlvMa8_7B8Qdb08z/view?usp=sharing '''HA 2'''] (posted 5.10.2025; deadline 12.10.2025) Project appraisal techniques.
* [https://drive.google.com/file/d/1bmUeGZfctw1Fr15OKAS4RVB59-juw_pV/view?usp=sharing '''HA 3'''] (posted 12.11.2025; deadline 23.11.2025) Valuation of securities.
* [https://drive.google.com/file/d/1QoDl6B9Fa5UxWjxoJxhxEcNe1SQhrzzX/view?usp=sharing '''HA 4'''] (posted 28.11.2025; deadline 7.12.2025) Portfolio Theory and CAPM.
* [https://drive.google.com/file/d/1GX8n4XQGBp0u95dmFTw3G3hBxuc7GXFQ/view?usp=sharing '''HA 5'''] (posted 13.12.2025; deadline 20.12.2025) Derivatives.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8ARF3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS641TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bcdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Introduction to Finance DSBA 2025/2026

2026-03-23T17:16:15Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="3"| Alina Myalo
|-
| Class teacher || colspan="2"| Yulia Komarova || Irina Kestner
|-
| Consultations || - || - || -
|}

[https://t.me/+1S5kSZC0wp1jNDg6 '''Telegram space''']

== Course Description ==

* [https://www.hse.ru/edu/courses/1086254020] Introduction to Finance 1 syllabus
* [https://www.hse.ru/edu/courses/1086254028] Introduction to Finance 1 syllabus

“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG9-P9/view?usp=sharing '''Lecture 0'''] (03.09.2025) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9RfPu/view?usp=sharing '''Lecture 1'''] (03.09.2025; revised on 16.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5TsYD/view?usp=sharing '''Lecture 2'''] (17.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1Jujwdv1qoBFJ0RLzmoeqfIF_TfoSzfv8/view?usp=sharing '''Lecture 3'''] (24.09.2025) Project appraisal techniques: NPV, IRR, PB; Fisher separation theorem.
* [https://drive.google.com/file/d/1u0XNzqkacNipKQZgjQwq7UNF0mVtSwuM/view?usp=sharing '''Lecture 4'''] (07.10.2025; revised on 14.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity. Corporate bonds. Duration.
* [https://drive.google.com/file/d/12vH1AZ7OF_ZXDKgE8T2hAHy6eZ-Rxkvm/view?usp=sharing '''Lecture 5'''] (05.11.2025) Valuation of stocks. Dividend discount model. Gordon growth model.
* [https://drive.google.com/file/d/1ryexx9yXKZSWnewJbt2aJEMbXNhO3Xw-/view?usp=sharing '''Lecture 6 Part 1'''] (12.11.2025; revised 3.12.2025) Risk and return. Mean-variance frontier.
* [https://drive.google.com/file/d/19wJNKZhN6gSPyq-MpOExt5HhYbnqqK-x/view?usp=sharing '''Lecture 7'''] (3.12.2025) CAPM.
* [https://drive.google.com/file/d/1giqK5D6bZuGqt2qjkTOgLC3_C8hwP9OP/view?usp=sharing '''Lecture 8'''] (9.12.2025) Derivatives.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqwmUj/view?usp=sharing '''Problem Set 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03NRlxv-7/view?usp=sharing '''Problem Set 2'''] (24.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1qU219BSXRbkwI_NykaCZDLGUP8GHqeJk/view?usp=sharing '''Problem Set 3'''] (01.10.2025) Project appraisal techniques: NPV, IRR, PB.
* [https://drive.google.com/file/d/1Sy-gtkCjsXwGFzczK5Oj3d0Cs1s2HG5g/view?usp=sharing '''Problem Set 4'''] (07.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity.
* [https://drive.google.com/file/d/1YfGgTFgQy_egCGO1jjJm0_zCS5xOQ58H/view?usp=sharing '''Problem Set 5'''] (01.11.2025) Duration.
* [https://drive.google.com/file/d/18FZAnUJ5MxunyL98dpW20fkxAP1A8dXm/view?usp=sharing '''Problem Set 6'''] (15.11.2025) Valuation of stocks. Portfolio theory.
* [https://drive.google.com/file/d/1OANS4XFiISuXS8yD8XVayyrhFcFU8Atj/view?usp=sharing '''Problem Set 7'''] (28.11.2025) Capital Asset Pricing model.
* [https://drive.google.com/file/d/1iBO_iwvnNGmERxqMyJsC9Hfnf7Lj191R/view?usp=sharing '''Problem Set 8'''] (9.12.2025) Derivatives.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr3-OIjaZ/view?usp=sharing '''HA 1'''] (posted 24.09.2025; deadline 02.10.2025) Financial system, Time value of money.
* [https://drive.google.com/file/d/1n8gGT3OmVDtUOYklBlvMa8_7B8Qdb08z/view?usp=sharing '''HA 2'''] (posted 5.10.2025; deadline 12.10.2025) Project appraisal techniques.
* [https://drive.google.com/file/d/1bmUeGZfctw1Fr15OKAS4RVB59-juw_pV/view?usp=sharing '''HA 3'''] (posted 12.11.2025; deadline 23.11.2025) Valuation of securities.
* [https://drive.google.com/file/d/1QoDl6B9Fa5UxWjxoJxhxEcNe1SQhrzzX/view?usp=sharing '''HA 4'''] (posted 28.11.2025; deadline 7.12.2025) Portfolio Theory and CAPM.
* [https://drive.google.com/file/d/1GX8n4XQGBp0u95dmFTw3G3hBxuc7GXFQ/view?usp=sharing '''HA 5'''] (posted 13.12.2025; deadline 20.12.2025) Derivatives.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8ARF3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS641TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bcdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Introduction to Finance DSBA 2025/2026

2026-03-23T17:14:59Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Lecturer in Semester 2|| colspan="3"| Alina Myalo
|-
| Class teacher || colspan="2"| Yulia Komarova || Irina Kestner
|-
| Consultations || - || - || -
|}

[https://t.me/+1S5kSZC0wp1jNDg6 '''Telegram space''']

== Course Description ==
“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG9-P9/view?usp=sharing '''Lecture 0'''] (03.09.2025) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9RfPu/view?usp=sharing '''Lecture 1'''] (03.09.2025; revised on 16.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/16IQ3puUFYFgFzC5AT_YhBoN5jkM5TsYD/view?usp=sharing '''Lecture 2'''] (17.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1Jujwdv1qoBFJ0RLzmoeqfIF_TfoSzfv8/view?usp=sharing '''Lecture 3'''] (24.09.2025) Project appraisal techniques: NPV, IRR, PB; Fisher separation theorem.
* [https://drive.google.com/file/d/1u0XNzqkacNipKQZgjQwq7UNF0mVtSwuM/view?usp=sharing '''Lecture 4'''] (07.10.2025; revised on 14.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity. Corporate bonds. Duration.
* [https://drive.google.com/file/d/12vH1AZ7OF_ZXDKgE8T2hAHy6eZ-Rxkvm/view?usp=sharing '''Lecture 5'''] (05.11.2025) Valuation of stocks. Dividend discount model. Gordon growth model.
* [https://drive.google.com/file/d/1ryexx9yXKZSWnewJbt2aJEMbXNhO3Xw-/view?usp=sharing '''Lecture 6 Part 1'''] (12.11.2025; revised 3.12.2025) Risk and return. Mean-variance frontier.
* [https://drive.google.com/file/d/19wJNKZhN6gSPyq-MpOExt5HhYbnqqK-x/view?usp=sharing '''Lecture 7'''] (3.12.2025) CAPM.
* [https://drive.google.com/file/d/1giqK5D6bZuGqt2qjkTOgLC3_C8hwP9OP/view?usp=sharing '''Lecture 8'''] (9.12.2025) Derivatives.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqwmUj/view?usp=sharing '''Problem Set 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.
* [https://drive.google.com/file/d/14hA9za8JtZVII9e3C1FCxqD03NRlxv-7/view?usp=sharing '''Problem Set 2'''] (24.09.2025) Time value of money: PV, FV, discounting, perpetuities, annuities.
* [https://drive.google.com/file/d/1qU219BSXRbkwI_NykaCZDLGUP8GHqeJk/view?usp=sharing '''Problem Set 3'''] (01.10.2025) Project appraisal techniques: NPV, IRR, PB.
* [https://drive.google.com/file/d/1Sy-gtkCjsXwGFzczK5Oj3d0Cs1s2HG5g/view?usp=sharing '''Problem Set 4'''] (07.10.2025) Coupon and Discount Bonds. Yield Curve. Term Structure Theories. Valuation by absence of arbitrage. Yield to maturity.
* [https://drive.google.com/file/d/1YfGgTFgQy_egCGO1jjJm0_zCS5xOQ58H/view?usp=sharing '''Problem Set 5'''] (01.11.2025) Duration.
* [https://drive.google.com/file/d/18FZAnUJ5MxunyL98dpW20fkxAP1A8dXm/view?usp=sharing '''Problem Set 6'''] (15.11.2025) Valuation of stocks. Portfolio theory.
* [https://drive.google.com/file/d/1OANS4XFiISuXS8yD8XVayyrhFcFU8Atj/view?usp=sharing '''Problem Set 7'''] (28.11.2025) Capital Asset Pricing model.
* [https://drive.google.com/file/d/1iBO_iwvnNGmERxqMyJsC9Hfnf7Lj191R/view?usp=sharing '''Problem Set 8'''] (9.12.2025) Derivatives.

== Home Assignments ==
* [https://drive.google.com/file/d/14foiSLJQS2015BbHS14v5nZvr3-OIjaZ/view?usp=sharing '''HA 1'''] (posted 24.09.2025; deadline 02.10.2025) Financial system, Time value of money.
* [https://drive.google.com/file/d/1n8gGT3OmVDtUOYklBlvMa8_7B8Qdb08z/view?usp=sharing '''HA 2'''] (posted 5.10.2025; deadline 12.10.2025) Project appraisal techniques.
* [https://drive.google.com/file/d/1bmUeGZfctw1Fr15OKAS4RVB59-juw_pV/view?usp=sharing '''HA 3'''] (posted 12.11.2025; deadline 23.11.2025) Valuation of securities.
* [https://drive.google.com/file/d/1QoDl6B9Fa5UxWjxoJxhxEcNe1SQhrzzX/view?usp=sharing '''HA 4'''] (posted 28.11.2025; deadline 7.12.2025) Portfolio Theory and CAPM.
* [https://drive.google.com/file/d/1GX8n4XQGBp0u95dmFTw3G3hBxuc7GXFQ/view?usp=sharing '''HA 5'''] (posted 13.12.2025; deadline 20.12.2025) Derivatives.

== Reading ==
* [https://drive.google.com/file/d/1yFg-7jHL5ezg6wZnrk_C1J8ARF3bL_Yz/view?usp=sharing '''Subject Guide''']
* [https://drive.google.com/file/d/1-4xxOczOAQYnwy2cAh7r3wS641TsK4lK/view?usp=sharing '''Berk & DeMarzo''']
* [https://drive.google.com/file/d/18ecA2Dy8V-2ghUiGzpdJalq5bcdYqV3X/view?usp=sharing '''Mishkin & Eakins''']

Cоmputer Vision DSBA 2025/2026

2026-01-27T11:15:41Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072048.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072048.html link].

Information Systems DSBA 2025/2026

2026-01-27T11:15:13Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072040.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072040.html link].

Recommender Systems DSBA 2025/2026

2026-01-27T11:14:41Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1110549889.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1110549889.html link].

Advanced Statistical Methods DSBA 2025/2026

2026-01-27T11:14:12Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071153527.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071153527.html link].

Operations Research and Game Theory DSBA 2025/2026

2026-01-27T11:13:29Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114706.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114706.html link].

Applied Statistics for Machine Learning DSBA 2025/2026

2026-01-27T11:12:44Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1074724642.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1074724642.html link].

Risk Management in Bank DSBA 2025/2026

2026-01-27T11:12:05Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114690.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114690.html link].

Investment Management for Business DSBA 2025/2026

2026-01-27T11:11:13Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114677.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114677.html link].

Information Systems Management DSBA 2025/2026

2026-01-27T11:10:09Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/edu/courses/1048788841 link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/edu/courses/1048788841 link].

Time Series Analysis DSBA 2025/2026

2026-01-27T11:08:38Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071090314.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071090314.html link].

Mathematical Statistics DSBA 2025/2026

2026-01-27T11:03:45Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1074724617.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1074724617.html link].

Computer Architecture and Operating Systems DSBA 2025/2026

2026-01-27T11:01:33Z

M.abdulkhakimov:

== Resources ==

* [https://andrewt0301.github.io/hse-acos-course Web site] with course materials
* [https://www.hse.ru/ba/data/courses/1071074269.html Syllabus] and [https://andrewt0301.github.io/hse-acos-course/grades.html grading formula]
* Telegram [https://t.me/+Dg8icpqPvABjMzUy channel]
* Telegram [https://t.me/+xistfe8wKeI1ZGMy chat]

== Teachers and Assistants ==
{| class="wikitable" style="text-align:center"
|-
! Group !! 241 !! 242 !! 243 !! 244 !! 245 !! 246
|-
|| Lecturer
| colspan="6" | [https://www.hse.ru/en/org/persons/36585966 Andrei Tatarnikov] [mailto:atatarnikov@hse.ru atatarnikov@hse.ru], tg: [https://tlgg.ru/andrewt0301 @andrewt0301], GitHub: [https://github.com/andrewt0301 andrewt0301]
|-
|| Instructor
| colspan="2" | Veniamin Arefev tg: [https://t.me/Veniamin_arefev @Veniamin_arefev], GitHub: [https://github.com/Veniamin-Arefev Veniamin-Arefev]
|| David Badalyan tg: [https://t.me/davidbadd @davidbadd], GitHub: [https://github.com/davidBMSTU davidBMSTU]
|| Roman Stolyarov tg: [https://t.me/Sadimer @Sadimer], GitHub: [https://github.com/sadimer sadimer]
|| Gleb Stepanov tg: [https://t.me/gvstepanov @gvstepanov], GitHub: [https://github.com/gle8098 gle8098]
|| Fedor Pakhurov tg: [https://t.me/fpakhurov @fpakhurov], GitHub: [https://github.com/fpkh fpkh]
|-
| rowspan="2" | Assistant
| colspan="6" | Ivan Mashkarin tg: [https://tlgg.ru/ivanmash @ivanmash], GitHub: [https://github.com/ivanmash ivanmash]
|-
|| Michael Molostov tg: [https://t.me/el_ect_ro @el_ect_ro], GitHub: [https://github.com/Electro05 Electro05]
|| Alexander Pokrovsky tg: [https://t.me/b1tterpetals @b1tterpetals], GitHub: [https://github.com/H1k1r1 H1k1r1]
|| Michael Korchagin tg: [https://t.me/eddaboy @eddaboy], GitHub: [https://github.com/eddaboy eddaboy]
|| Jamal Verdiyev tg: [https://t.me/candlemandle @candlemandle], GitHub: [https://github.com/candlemandle candlemandle]
|| Sergey Kozlov tg: [https://t.me/Sergey070509 @Sergey070509], GitHub: TODO
|| Irina Milova tg: [https://t.me/rina_mlv @rina_mlv], GitHub: [https://github.com/irinamilova irinamilova]
|}

== Attendance and Grades ==

Table with grades can be found here [https://docs.google.com/spreadsheets/d/1SLz62hBvVooonQb5VpfwELxt-Xh22oyiFM-gSPcJdoM/edit?usp=sharing here].

== EJudge ==

EJudge contests for homeworks:
* [http://158.160.214.36/cgi-bin/new-client?contest_id=241 241]
* [http://158.160.214.36/cgi-bin/new-client?contest_id=242 242]
* [http://158.160.214.36/cgi-bin/new-client?contest_id=243 243]
* [http://158.160.214.36/cgi-bin/new-client?contest_id=244 244]
* [http://158.160.214.36/cgi-bin/new-client?contest_id=245 245]
* [http://158.160.214.36/cgi-bin/new-client?contest_id=246 246]

Warning: Please do not use VPN when solving Ejudge contests.

== Homeworks ==

TODO

== Module Assignments ==

TODO

== Exam ==

TODO

Algorithms and Data Structures DSBA 2025/2026

2025-09-26T15:22:09Z

M.abdulkhakimov:

= About =
This page contains basic information for the course Algorithms and Data Structures in 2024/2025 academic year at Bachelor’s Programme in '''Data Science and Business Analytics''' (DSBA).

The full syllabus can be accessed at [https://www.hse.ru/ba/data/courses/1071074261.html this page].

= Teachers and assistants =

{| class="wikitable" style="text-align:center"
|-
! Group !! 241 !! 242 !! 243 !! 244 !! 245 !! 246
|-
| Lecturer
| colspan="6" | [https://www.hse.ru/org/persons/528651897 Nikita Makarov]
|-
| Seminar Instructor
| colspan="2" | [https://www.hse.ru/org/persons/191485259 Vladimir Kurenkov]
| colspan="4" | [https://t.me/seemur Simon Kondakov]
|-
| Teaching Assistant
| tg: [https://t.me/leon1dl @leon1dl]
| tg: [https://t.me/Mellodizzz @Mellodizzz]
| tg: [https://t.me/yksee @yksee]
| tg: [https://t.me/polina_gur @polina_gur]
| tg: [https://t.me/meomato @meomato]
| tg: [https://t.me/rina_mlv @rina_mlv]
|-
| Lecturer Assistant
| colspan="6" | [https://t.me/svbudygin @svbudygin]
|}

= Grading =

You may find [https://docs.google.com/spreadsheets/d/1Qh4uXaAZy-nX-dYlA_CtAo4zoWhvwC1ekL4p5-8As0A/edit?gid=1121952238#gid=1121952238 your grades].

== Formula ==
'''Final Grade = M1 * 0.4 + M3 * 0.6'''

'''Mi = E * 0.4 + HW * 0.2 + Q * 0.2 + S * 0.2'''

* '''E''' - exam grade: rational number [0, 10] = sum of the grade for the oral and written parts, out of 5 each
* '''HW''' - homework grade: rational number [0, 10]
* '''Q''' - lecture quizzes grade: rational number [0, 10]
* '''S''' - seminar practice grade: rational number [0, 10]

'''rounding''': each element in the formulae is rounded up

== Plagiarism policy ==

If plagiarism is detected, the assessment element will be assigned a score of '''0'''.

If the student is suspected of preparing the task not on his own, the teacher has the right to initiate additional verification or defense of this particular assessment element. Then such an assessment element will be graded based on the additional verification or the defense.

= Home assignments =

{| class="wikitable" style="text-align:center"
|-
! Contest !! Deadline !! Topic
|-

|}

= Lectures =
Lectures are held on Saturdays from 14:40 till 17:40.

== Lecture Materials ==

'''Sep 6'''
* Introduction to the course
* Asymptotic notation
* Sorting algorithms: insertion sort, merge sort
* Lower bounds of sorting
* Counting sort
* Radix sort
''Bibliography'': Cormen, ch. 2, 3, 8

'''Sep 13'''
* Basic data structures: array, stack, queue, deque, linked list, tree; basic operations: search, insert, delete
* Binary search trees, main operations (insert, delete, rotate, find min/max)
* AVL-trees, main operations
''Bibliography'': Cormen, ch. 12, Knuth, vol. 3, ch. 6.2.3

'''Sep 27 (preliminarily)'''
* Red-black trees, main operations
* Treaps, main operations
''Bibliography'': Cormen, ch. 13

==List of topics for exam in module 1==

==List of topics for exam in module 3==

Discrete Mathematics 2 DSBA 2025/2026

2025-09-12T14:24:53Z

M.abdulkhakimov:

= About =

This page contains basic information for the [https://www.hse.ru/edu/courses/1071074277 course Discrete Mathematics 2] in 2025/2026 academic year at HSE Bachelor’s Programme in Data Science and Business Analytics (DSBA).

= Smart LMS =

All materials will be published in [https://edu.hse.ru/course/view.php?id=252961 Smart LMS]

= Professors and assistants =

The lecturer of the course in 2025 fall term is Boris Radislavovich Danilov (brdanilov@gmail.com).

== Seminar instructors ==

{| class="wikitable" style="text-align:center"
|-
! Group !! 241 !! 242 !! 243 !! 244 !! 245 !! 246
|-
|| Teachers || [https://t.me/brdann Boris Danilov] || colspan="2" | [https://t.me/Alyona_Chislova Alyona Chislova] || Igor Savitskii || colspan="2" | [https://t.me/carlosbuitrago Carlos Buitrago]
|-
|| Odd homework assistants || [https://t.me/d_poIy Polina Doronicheva] || colspan="2" | Anastasia Podolyakina || [https://t.me/d_poIy Polina Doronicheva] || colspan="2" | Irina Milova
|-
|| Even homework assistants || Lewis Lesigha || colspan="2" | Anna Votinova || Lewis Lesigha || colspan="2" | Mark Belov
|}

== Office hours ==

'''Each teacher must be notified in advance''' that you want to come during consultation hours!!!

{| class="wikitable" style="text-align:center"
|-
|| Teachers || [https://t.me/brdann Boris Danilov] || [https://t.me/Alyona_Chislova Alyona Chislova] || Igor Savitskii ||[https://t.me/carlosbuitrago Carlos Buitrago]
|-
|| Time || Tuesday 17.50-18.20 || || ||
|}

= Interim assessment activities =

== Homework assignments ==

Homework assignments include 14 problem sets, one in a week. The last homework assignment is not assessed by tutors (it is left for self-assessment). The assessment of homework assignments is partial, that is only a minor subset of exercises from the whole homework assignment are being evaluated. Exercises to be evaluated are announced after homework deadline has passed.

Problem sets contain exercises which are labeled by an asterisk as ‘bonus’ while all the remaining exercises are considered ‘ordinary’. Deadline for submissions of ordinary exercises is the date when the task was assigned plus 7 days. Bonus exercises are assessed independently and their deadline is the date when the task was assigned plus 14 days. Late submissions score is penalized (both for compulsory and bonus parts separately) with multiplier (0.9)^H, where H is the number of hours passed after deadline, but only when H is less than 48. Submissions late for more than 48 hours are not assessed and scored zero.

Homework ordinary and bonus parts can be passed separately, but each part is passed as a whole. Re-submission of individual exercises means the re-submission of the whole part of the homework assignment with the update of the timestamp for all previously submitted exercises in that part. Only the last submission is getting assessed and scored.

Student may be required to explain orally his written solution to any problem on the colloquium, in class, or if there are suspicions of preparing the task without student's own effort on a personal appointment initiated by the teacher for the purpose of verification or defense of this particular assessment element. Student’s grade for the assessment element may be adjusted based on the additional verification or the defense. If plagiarism is detected, the assessment element will be assigned a score of "0".

Grade <HW> for homework assignments is a rational number between 0 and 15: 
''<HW> = min(15, 10 * (the sum of score points obtained by the student for all evaluated tasks in all homework assignments) / (the sum of nominal score points for ordinary evaluated tasks in all homework assignments))''.

== Quizzes ==

Quizzes are small tests that contain 1-3 exercises for 10-15 minutes that are held on seminars or lectures. The form of a quiz is a small written test. Students aren't allowed to use any materials during the quiz. Some questions of the quiz are sometimes labeled as ‘bonus’ whilst the others are ‘ordinary’ questions.

Grade <QZ> for quizzes is the rational number between 0 and 15: 
''<QZ> = min(15, 10 * (the sum of score points obtained by the student for all tasks in all quizzes) / (the sum of nominal score points for ordinary tasks in all quizzes))''.

== Knowledge test ==

Knowledge test is a written control work that is held at the end of the 1st module. Students may not consult any sources during the knowledge test that takes about 60 minutes and contains 5-7 problems. Some problems of the knowledge test are labeled as ‘bonus’ whilst the others are ‘ordinary’. Each problem is graded on the scale from 0 to 6 integer points.

Grade <KT> for the knowledge test is the rational number between 0 and 15: 
''<KT> = min(15, 10 * (the sum of score points obtained by the student for all tasks) / (the sum of nominal score points for ordinary tasks))''

== Colloquium ==

Colloquium is an oral activity where student receives one practical question (a problem similar to those that are assigned in homework) and two theoretical questions aligned with definitions and proofs from lectures. Student has 60 minutes to prepare his answer before defending it to a tutor (or several tutors).

Grade <CO> for the colloquium is the rational number between 0 and 10 that is based on answers of the student, where the answer for the practical question is graded out of 2 parts and answers for theoretical question are graded out of 3 parts each. Furthermore, 2 remaining parts of the grade are gained by answering additional questions on definitions and statements of theorems from the course.

== Examination control work ==

Written examination control work is held at the end of the course. Students may not consult any sources during the examination control work that takes about 120 minutes and contains 8-10 problems. Some problems of the examination control work are labeled as ‘bonus’ whilst the others are ‘ordinary’. Each problem is graded on the scale from 0 to 6 integer points.

Grade <EX> for the examination control work is the rational number between 0 and 15: 
''<EX> = min(15, 10 * (the sum of score points obtained by the student for all tasks) / (the sum of nominal score points for ordinary tasks))''

'''Retake principles''':

On the first and second retakes, the cumulative course grade is taken into consideration. In case of receiving an unsatisfactory final grade after the first retake, the student may refuse to participate in the second retake and instead repeat the course according to the individual curriculum. The cumulative grade is formed again as a result of repeated courses. After completing the repeated course, the student is given a second retake only, which the student previously refused.

= Grading =

== Final Grade ==

Grade <Final grade> for the course is determined by the formula:

'''<Final grade> = min(10, round(0.11 * <HW> + 0.14 * <QZ> + 0.17 * <KT> + 0.23 * <CO> + 0.35 * <EX>))''',

where <HW>, <QZ>, <KT>, <CO>, <EX> are grades for interim assessment activities:

* <HW> - Homework assignments
* <QZ> - Quizzes
* <KT> - Knowledge test
* <CO> - Colloquium
* <EX> - Examination control work

'''Rounding rules''':

Arithmetic rounding works for students with attendance between '''30%''' and '''70%'''. For students with attendance less than '''30%''' a number X with fractional part below or equal to '''0.7''' is rounded "below" (to the highest integer non exceeding X). For students with attendance greater than '''70%''' a number Y with fractional part above or equal to '''0.3''' is rounded "above" (to the smallest integer greater than Y). Rounding in the formula means rounding to the nearest integer, tie-values are rounded up.

== Automatic pass ==

Students who have good performance and attendance are eligible for automatic pass.

If student's attendance is greater than '''60%''' and <AU> by the formula below is greater or equal to '''7.0''' without rounding then by automatic pass <Final grade> = round(<AU>) (special rounding rules are NOT applied)

'''<AU> = min(10, 0.17 * <HW> + 0.22 * <QZ> + 0.26 * <KT> + 0.35 * <CO>)'''

Please note that expression for <AU> does NOT include rounding. 
Decision to apply for automatic pass must be made prior to taking the exam. Attendance at the exam automatically cancels automatic pass.

= Plagiarism rules =

If plagiarism is detected (including material generated with the help of generative AI without prior approval from the teacher), the assessment element will be assigned a score of "0". 
If there is a suspicion that the task was not completed independently, the teacher has the right to initiate an additional verification or a defense of this particular assessment element. The final grade for the element will be based on the results of such verification or defense. 
The teacher also reserves the right to randomly invite any student to defend any assessment element, regardless of plagiarism or suspicion. If the student refuses or fails to defend the work, the grade for this element will be annulled and recorded as "0".

Introduction to Finance DSBA 2025/2026

2025-09-12T14:01:01Z

M.abdulkhakimov:

== Teachers and Assistants ==

{| class="wikitable"
|-
! Group !! 1 !! 2 !! 3
|-
| Lecturer in Semester 1|| colspan="3"| Irina Kestner
|-
| Class teacher || Irina Kestner || colspan="2"| Yulia Komarova
|-
| Consultations || - || - || -
|}

[https://t.me/+1S5kSZC0wp1jNDg6 '''Telegram space''']

== Course Description ==
“Introduction to Finance” is a basic two-semester course for second-year undergraduate students. The course is taught in English. It is part of the University of London curriculum. The approach of the course is analytical and emphasizes the link between microeconomics and finance.

The first part of the course - “Introduction to Finance I” - covers the essentials of capital budgeting and securities valuation, as well as basic asset pricing theories.

== Grading system ==

During the course, the student will be formally graded on the following:
*in-class attendance and activity ('''A''');
*several lecture quizzes ('''Q''', where '''Q''' is the average grade of all the quizzes in the course);
*several homework assignments ('''H''', where '''H''' is the average grade of all the homework assignments in the course);
*one written Fall mid-term test ('''F''')
*one written Winter exam ('''W''').

All grades (namely, '''A''', '''Q''', '''H''', '''F''', and '''W''') are real numbers from 0 to 100.

'''The cumulative grade''', '''C''', is obtained '''without rounding''' by the following formula:

'''C = 0.10*A + 0.05*Q + 0.15*H + 0.25*F + 0.45*W.'''

== Lecture Notes ==
* [https://drive.google.com/file/d/1dm6SB2yQX3gWTmPz7lMuCnvRQyeG9-P9/view?usp=sharing '''Lecture 0'''] (03.09.2025) Intro, Grades, Reading list.
* [https://drive.google.com/file/d/16qJaBZlj84MMj26BzqairTRspSW9RfPu/view?usp=sharing '''Lecture 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.

== Problem Sets for classes ==
* [https://drive.google.com/file/d/1Mo-I0KODMpU8hm5axYpCIpuIi1dqwmUj/view?usp=sharing '''Problem Set 1'''] (03.09.2025) Financial system: functions, institutions, markets, securities.

Research Seminar "Data analysis in complex systems" DSBA 2025/2026

2025-09-10T15:48:55Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071090290.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071090290.html link].

Research Seminar "Data Science in Financial Markets" DSBA 2025/2026

2025-09-10T15:48:40Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071080771.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071080771.html link].

Research Seminar "Data Analysis in the Natural Sciences" DSBA 2025/2026

2025-09-10T15:47:47Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071080753.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071080753.html link].

Natural Language Processing DSBA 2025/2026

2025-09-10T15:43:03Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1082006572.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1082006572.html link].

Generative Models in Machine Learning DSBA 2025/2026

2025-09-10T15:41:17Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072032.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072032.html link].

Information Security Risk Management DSBA 2025/2026

2025-09-10T15:40:41Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1082006563.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1082006563.html link].

Introduction to the Study of Language for Computer Scientists DSBA 2025/2026

2025-09-10T15:39:06Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071069531.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071069531.html link].

Asset Pricing and Financial Markets DSBA 2025/2026

2025-09-10T15:36:29Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072008.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071072008.html link].

Statistical Methods for Market Research DSBA 2025/2026

2025-09-10T15:35:37Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071069499.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071069499.html link].

Methods of Mathematical Modeling DSBA 2025/2026

2025-09-10T15:34:36Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1074724633.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1074724633.html link].

Research Seminar "Data Science in Applied Research" DSBA 2025/2026

2025-09-10T15:31:44Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071149479.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071149479.html link].

Research Seminar "Data Science in Scientific Research" DSBA 2025/2026

2025-09-10T15:28:14Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071149479.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071149479.html link].

Wiki ФКН

2025-09-10T15:26:06Z

M.abdulkhakimov:

Research Seminar "Data Science in Financial Economics" DSBA 2025/2026

2025-09-10T15:24:48Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071090331.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071090331.html link].

Data Analysis in Business DSBA 2025/2026

2025-09-10T15:23:39Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114669.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114669.html link].

Research Seminar "Data Analysis in Business" DSBA 2025/2026

2025-09-10T15:22:40Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114661.html link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/ba/data/courses/1071114661.html link].

Econometrics DSBA 2025/2026

2025-09-10T15:21:05Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via links: [https://www.hse.ru/edu/courses/1048797373 Econometrics 1] [https://www.hse.ru/edu/courses/1048797388 Econometrics 2]»

== Syllabus ==
Syllabus may be found via links:
[https://www.hse.ru/edu/courses/1048797373 Econometrics 1]
[https://www.hse.ru/edu/courses/1048797388 Econometrics 2]

Introduction to Entrepreneurship DSBA 2025/2026

2025-09-10T15:18:57Z

M.abdulkhakimov: Новая страница: «== Syllabus == Syllabus may be found via this [https://www.hse.ru/edu/courses/1048788827 link].»

== Syllabus ==
Syllabus may be found via this [https://www.hse.ru/edu/courses/1048788827 link].