Bachelor 2024/2025

Methods of Decision-Making

Type: Compulsory course (Computational Social Sciences)

Area of studies: Applied Mathematics and Information Science

Delivered by: Department of Mathematics

Where: Faculty of Social Sciences

When: 3 year, 1, 2 module

Mode of studies: distance learning

Online hours: 8

Open to: students of one campus

Instructors: Fuad T. Aleskerov, Alexey L. Myachin, Ekaterina Shakhalieva

Language: English

ECTS credits: 4

Course Syllabus

Abstract

The course includes main notions and stages of decision making, relevant mathematical models and methods, namely, multicriterial models, matchings, network analysis, fair division, game-theoretic models and application of these models in different real-life situations. Learning Objectives: To familiarize students with basic concepts, models and methods of decision making.

Learning Objectives

• Know principles of mathematical models construction in decision analysis
• Be able to choose rational options in practical decision-making problems
• Have skills in analysis of game-theoretic models

Expected Learning Outcomes

• 1 - Know principles of mathematical models construction in decision analysis
• 2 - Be able to choose rational options in practical decision-making problems
• 3 - Have skills in analysis of game-theoretic models

Course Contents

• Topic 1
• Topic 2
• Topic 3
• Topic 4
• Topic 5
• Topic 6
• Topic 7
• Topic 8

Assessment Elements

• Homework
• Test 1
• Test 2
• Exam

Interim Assessment

• 2024/2025 2nd module
  0.5 * Exam + 0.05 * Homework + 0.05 * Homework + 0.2 * Test 1 + 0.2 * Test 2

Bibliography

Recommended Core Bibliography

• An introduction to game theory, Osborne, M. J., 2009
• Utility maximization, choice and preference : with 49 figures and 28 tables, Aleskerov, F., 2007

Recommended Additional Bibliography

• Theory of choice, Aizerman, M., 1995

Authors

• Myachin Aleksey Leonidovich
• ALESKEROV FUAD TAGI OGLY