Бакалавриат
2023/2024
Теория выбора и принятия решений
Статус:
Курс обязательный (Прикладная математика и информатика)
Направление:
01.03.02. Прикладная математика и информатика
Кто читает:
Департамент математики
Где читается:
Факультет компьютерных наук
Когда читается:
3-й курс, 1, 2 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Доган Эмре
Язык:
английский
Кредиты:
5
Контактные часы:
60
Course Syllabus
Abstract
The course includes main notions and stages of decision making, uni- and multicriterial models, rationality of individual and social decisions, main notions of utility theory, choice models, and their use in applied problems.
Learning Objectives
- to familiarize students with the basic concepts, models and statements of the theory of choice and decision making
Expected Learning Outcomes
- students will be able to choose rational options in practical decision-making problems
- 3 - Have skills in analysis of game-theoretic models
- Know principles of models construction in decision analysis
Course Contents
- Introduction to decision making problem. Binary relations
- Individual decision making
- Theory of expected utility
- Multi-criterial decision making
- Collective decision making
- Non-local aggregation
- Social choice (the case of two alternatives)
- Manipulation in social choice
Interim Assessment
- 2023/2024 2nd module0.1 * attendance + 0.3 * final exam + 0.3 * homework + 0.3 * midterm exam
Bibliography
Recommended Core Bibliography
- Fuad Aleskerov, Denis Bouyssou, & Bernard Monjardet. (2007). Utility Maximization, Choice and Preference. Post-Print. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.p.hal.journl.halshs.00197186
Recommended Additional Bibliography
- Fuad Aleskerov, Daniel Karabekyan, Remzi Sanver, & Vyacheslav Yakuba. (2009). Evaluating the Degree of Manipulability of Certain Aggregation Procedures under Multiple Choices. Journal of the New Economic Association, 1–2, 37.