ORIE 6150

Collective Decision Making

Course Description

Course information provided by the 2025-2026 Catalog.

Students will learn about theoretical approaches from across computer science, economics, and operations research to group decision settings, in particular in voting and the fair allocation of resources. This course will mainly focus on theoretical approaches to these topics. We will study key solution concepts from computational social choice theory, cooperative and non-cooperative game theory, and fair division: approaching them with tools from optimization, algorithms, and probability. The course will cover the foundations of these concepts, as well as cutting-edge research results based on these concepts. As part of the course, students will read, present, and discuss research papers, and perform a research project.

Last 3 terms offered (None)

Learning Outcomes REF-FA25

• Given a group decision setting, identify appropriate solution concepts and apply them.
• Design decision algorithms and prove structural properties using optimization, algorithm, and probability theory.
• Read and evaluate recent research papers on group decision making.

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