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Regular version of the site
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
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

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».