ORCS E4200
Data-driven Decision Modeling
Introduction to modeling, estimating, and solving decision-making problems in the context of artificial intelligence and analytics. Potential topics include choice models, quantity models, online learning using multi-armed bandits, dynamic decision modeling, dynamic games, and Bayesian learning theory. Practice both theory and applications using Python programming
Topics
- choice models
- quantity models
- online learning using multi-armed bandits
- dynamic decision modeling
- dynamic games
- and Bayesian learning theory
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Data-driven Decision Modeling · 3.00 points · University catalogue