Bachelor 2024/2025

Advanced Chapters in Decision Theory».

Type: Elective course (Applied Mathematics and Information Science)

Area of studies: Applied Mathematics and Information Science

Delivered by: Department of Mathematics

Where: Faculty of Computer Science

When: 4 year, 3 module

Mode of studies: offline

Open to: students of one campus

Language: English

ECTS credits: 4

Contact hours: 46

Course Syllabus

Abstract

The course includes several advanced and newest topics in the theory of decision making: • Decision Making under Deep Uncertainty, • Data Envelopment Analysis, • Stability and Similarity in Networks Based on Topology and Nodes Importance, • Modified versions of Arrow’s Conditions and Axiomatization of Ranked-Choice Rules, • Arrovian aggregation rules and non-manipulable rules on restricted domains. Single peaked preferences. Median voter theorem. Dictatorial domains.