Bachelor 2022/2023

Decision Making Strategy

Type: Compulsory course (Data Science and Business Analytics)

Area of studies: Applied Mathematics and Information Science

Delivered by: Big Data and Information Retrieval School

Where: Faculty of Computer Science

When: 4 year, 1-3 module

Mode of studies: distance learning

Online hours: 10

Open to: students of one campus

Instructors: Constantine Sorokin

Language: English

ECTS credits: 6

Contact hours: 104

Course Syllabus

Abstract

This course is concerned with strategic thinking, strategic decision-making and understanding strategy situations involving conflict and/or cooperation. Strategy has proved useful in many areas of economics, business, political science, law, and social psychology. This course is an interaction of game theory, economics and strategic management.

Learning Objectives

• Students will gain an insight into their professional area.

Expected Learning Outcomes

• Students will gain an acute understanding of Game Theory, Markets and Strategy

Course Contents

• Part one: Introduction to Strategy: mastering Game Theory.
• Part Two: Economics and IO.
• Part Three: Markets and Strategy.

Assessment Elements

• Midterm
  on the 2nd module Midterm is conducted with proctoring 3rd module midterm is a home assignment
• Winter Exam
• Final Exam

Interim Assessment

• 2022/2023 2nd module
  0.5 * Winter Exam + 0.5 * Midterm
• 2022/2023 3rd module
  0.5 * Final Exam + 0.5 * Midterm

Bibliography

Recommended Core Bibliography

• Maschler,Michael, Solan,Eilon, & Zamir,Shmuel. (2013). Game Theory. Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.cup.cbooks.9781107005488

Recommended Additional Bibliography

• Besanko, D. (2016). Economics of Strategy (Vol. 7th edition). Hoboken: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1639494

Authors

• Галевская Софья Андреевна