Master 2022/2023

Modern Methods of Decision Making

Type: Compulsory course (Data Science)

Area of studies: Applied Mathematics and Informatics

Delivered by: School of Data Analysis and Artificial Intelligence

Where: Faculty of Computer Science

When: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of all HSE University campuses

Instructors: Quentin Paris

Master’s programme: Data Science

Language: English

ECTS credits: 6

Contact hours: 60

Course Syllabus

Abstract

This course is a required foundational course for masters’ students in “Applied Statistics with Network Analysis” program, designed to familiarize them with the most recent developments in interdisciplinary decision sciences. This course covers many approaches to solving real-life problems from the mathematical point of view – in other words, we are using available mathematical tools to make good decisions. Various optimization techniques are surveyed with an emphasis on the why and how of these types of models as opposed to a detailed theoretical approach. Students develop optimization models which relate to their areas of interest. Spread-sheets are used extensively to accomplish the mathematical manipulations. Emphasis is placed on input requirements and interpretation of results.