We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

✖
  • A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
For visually-impairedFor visually-impairedUser profile (HSE staff only)SearchMenu
HSE University
User profile (HSE staff only)Search
Advanced search

Course Syllabus

Course Syllabus


 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Master 2023/2024

Mentor's Seminar

Type: Compulsory course (Master of Data Science)
Area of studies: Applied Mathematics and Informatics
Delivered by: Big Data and Information Retrieval School
Where: Faculty of Computer Science
When: 1 year, 1-4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Margarita Burova
Master’s programme: Магистр по наукам о данных (о)
Language: English
ECTS credits: 6
Contact hours: 8

Course Syllabus

Ask Question

Abstract

The discipline Master's Seminar takes place during the whole course of study and is compulsory for students of the Study Program "Master of Data Science";. In the course of communication with the academic supervisor, the student forms his/her individual study plan, receives additional feedback for the master's thesis.