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 2021/2022

Modern Methods of Decision Making: Advanced Statistical Methods

Type: Compulsory course
Area of studies: Applied Mathematics and Informatics
Delivered by: Department of Complex System Modelling Technologies
Where: Faculty of Computer Science
When: 1 year, 4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Vladimir Spokoiny
Master’s programme: Math of Machine Learning
Language: English
ECTS credits: 3
Contact hours: 28

Course Syllabus

Ask Question

Abstract

The course «Modern Methods in Decision Making» is a course taught in the first year of the Master’s program «Data Science». It is compulsory for all students of the Master’s program. The course is in the continuation of the core course «Modern methods of Data Analysis» proposed in Modules 1 and 2 in the Master`s program «Data Science». Students are expected to be already familiar with some statistical learning techniques, and have skills in analysis, linear algebra and probability theory. Students must have completed the course «Probability Theory and Mathematical Statistics».