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Regular version of the site

Courses

Bachelor 2019/2020

Type: Compulsory course (Business Informatics)

Area of studies: Business Informatics

Delivered at: Department of Mathematics

Faculty: Faculty of Business and Management

When: 1 year, 2-4 module

Mode of studies: Full time

Instructors: Andrey Georgievich Bronevich, Ekaterina Mikhaylets, Dmitry Shvarts, Yuliya Aleksandrovna Veselova

Language: Russian

ECTS credits: 8

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (HSE and University of London Parallel Degree Programme in Management and Digital Innovation)

Area of studies: Business Informatics

Delivered at: School of Business Informatics

Faculty: Faculty of Business and Management

When: 1 year, 3, 4 module

Mode of studies: Full time

Language: English

ECTS credits: 7

Bachelor 2019/2020

Type: Compulsory course (Applied Mathematics and Information Science)

Area of studies: Applied Mathematics and Information Science

Delivered at: Big Data and Information Retrieval School

Faculty: Faculty of Computer Science

When: 1 year, 1-3 module

Mode of studies: Full time

Instructors: Vladimir V. Podolskii, Alexander A Rubtsov, Dmitry Shvarts, Liubov Sysoeva, Alexey Talambutsa, Алексеева Дарья Эдуардовна

Language: Russian

ECTS credits: 7

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (HSE and University of London Double Degree Programme in Data Science and Business Analytics)

Area of studies: Applied Mathematics and Information Science

Delivered at: Big Data and Information Retrieval School

Faculty: Faculty of Computer Science

When: 1 year, 1-3 module

Mode of studies: Blended

Instructors: Evgeny V. Dashkov

Language: English

ECTS credits: 8

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (Software Engineering)

Area of studies: Software Engineering

Delivered at: School of Software Engineering

Faculty: Faculty of Computer Science

When: 1 year, 1-4 module

Mode of studies: Blended

Instructors: Sergey M. Avdoshin, Leonid W. Dworzanski

Language: Russian

ECTS credits: 8

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (Fundamental and Computational Linguistics)

Area of studies: Fundamental and Applied Linguistics

Delivered at: Department of Higher Mathematics

Faculty: Faculty of Humanities

When: 1 year, 1, 2 module

Mode of studies: Full time

Instructors: Vadim Kochergin, Anna Mikhailovich, Ilya Schurov

Language: Russian

ECTS credits: 4

Course syllabus

Bachelor 2019/2020

Type: Compulsory course

Area of studies: Business Informatics

Delivered at: Higher School of Business Informatics

Faculty: Higher School of Business Informatics

When: 1 year, 1 module

Mode of studies: Full time

Language: Russian

ECTS credits: 6

Course syllabus

Bachelor 2019/2020

Type: Compulsory course

Area of studies: Business Informatics

Delivered at: Higher School of Business Informatics

Faculty: Higher School of Business Informatics

Language: Russian

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (Mathematics)

Area of studies: Mathematics

Delivered at: Faculty of Mathematics

Faculty: Faculty of Mathematics

When: 1 year, 1, 4 module

Mode of studies: Full time

Instructors: Natalia Amburg, Igor Artamkin, Alexey Basalaev, Alexei Gorinov, Sergey Mikhailovich Khoroshkin, Grigory Merzon, Daniyar S. Shamkanov, Mikhail Skopenkov, Evgeny Smirnov

Language: Russian

ECTS credits: 6

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (Joint Bachelor's Programme with the Centre for Teaching Excellence)

Area of studies: Mathematics

Delivered at: Faculty of Mathematics

Faculty: Faculty of Mathematics

When: 1 year, 1, 4 module

Mode of studies: Full time

Instructors: Igor Artamkin, Vassili Gorbounov, Grigory Merzon, Pavel Osipov, Alexander Shtern, Evgeny Smirnov

Language: Russian

ECTS credits: 6

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (Applied Mathematics and Information Science)

Area of studies: Applied Mathematics and Information Science

Delivered at: Big Data and Information Retrieval School

Faculty: Faculty of Computer Science

When: 2 year, 1, 2 module

Mode of studies: Blended

Instructors: Evgeny V. Dashkov, Alexander Kozachinskiy, Alexey Milovanov, Nikolay Vereshchagin, Michael Vyalyi

Language: Russian

ECTS credits: 4

Course syllabus

Bachelor 2019/2020

Type: Compulsory course (HSE and University of London Double Degree Programme in Data Science and Business Analytics)

Area of studies: Applied Mathematics and Information Science

Delivered at: Big Data and Information Retrieval School

Faculty: Faculty of Computer Science

When: 2 year, 1, 2 module

Mode of studies: Full time

Language: English

ECTS credits: 4

Course syllabus

Master 2019/2020

Type: Bridging course (Data Science)

Area of studies: Applied Mathematics and Informatics

Delivered at: School of Data Analysis and Artificial Intelligence

Faculty: Faculty of Computer Science

When: 1 year, 1 module

Mode of studies: Full time

Instructors: Stepan Kuznetsov

Language: English

ECTS credits: 3

Course syllabus

Bachelor 2019/2020

Type: Elective course (Sociology)

Area of studies: Sociology

Delivered at: Department of Higher Mathematics

Faculty: Faculty of Social Sciences

When: 1 year, 4 module

Mode of studies: Full time

Instructors: Vadim Kochergin, Anna Mikhailovich

Language: Russian

ECTS credits: 3

Master 2019/2020

Type: Elective course (Internet of Things and Cyber-physical Systems)

Area of studies: Infocommunication Technologies and Systems

Delivered at: School of Electronic Engineering

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

When: 2 year, 2, 3 module

Mode of studies: Full time

Instructors: Grigory A. Kabatiansky

Language: Russian

ECTS credits: 5

Master 2019/2020

Type: Elective course (Management Systems and Information Processing in Engineering)

Area of studies: Applied Mathematics

Delivered at: School of Applied Mathematics

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

When: 2 year, 3 module

Mode of studies: Blended

Language: English

ECTS credits: 2

Course syllabus

Master 2019/2020

Type: Elective course (Mathematical Methods of Modelling and Computer Technologies)

Area of studies: Applied Mathematics and Informatics

Delivered at: School of Applied Mathematics

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

When: 1 year, 3 module

Mode of studies: Blended

Instructors: Evgeny Vybornyi

Language: English

ECTS credits: 3

Course syllabus

Bachelor 2019/2020

Type: Elective course (Applied Mathematics and Information Science)

Area of studies: Applied Mathematics and Information Science

Delivered at: Joint Department with Yandex

Faculty: Faculty of Computer Science

When: 3 year, 3, 4 module

Mode of studies: Full time

Instructors: Maxim A. Babenko

Language: Russian

ECTS credits: 6

Course syllabus

Master 2019/2020

Type: Elective course (Applied Politics)

Area of studies: Political Science

Delivered at: School of Politics and Governance

Faculty: Faculty of Social Sciences

When: 2 year, 1, 2 module

Mode of studies: Full time

Instructors: Mikhail Mironyuk

Language: English

ECTS credits: 4

Course syllabus

Master 2019/2020

Type: Compulsory course (Politics. Economics. Philosophy)

Area of studies: Political Science

Delivered at: School of Politics and Governance

Faculty: Faculty of Social Sciences

When: 2 year, 1, 2 module

Mode of studies: Full time

Instructors: Mikhail Mironyuk

Language: English

ECTS credits: 4

Course syllabus

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