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
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.