Bachelor 2025/2026

Advanced Chapters in Decision Theory».

Type: Elective course (Applied Mathematics and Information Science)

Delivered by: Department of Mathematics

When: 4 year, 3 module

Open to: students of one campus

Language: English

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.