HADM 9330: Revenue Management Analytics

Fall. 1.5 credits. Letter grades only.

Enrollment limited to: PhD students.


  • Christopher Anderson (cka9) - Fall 2022
  • Yao Cui (yc2268) - Fall 2022


This course will focus on algorithmic approaches to setting prices for perishable products such as hotel rooms, airline seats, taxi-rides available in a neighborhood, seasonal products, etc. Topics covered will include revenue management for single resource, for networks of resources, overbooking, choice modeling, revenue management for differentiated products, assortment planning, online learning and pricing, and competitive assortment and price optimization. We will also see recent advances in the field, such as using game theory to model strategic consumer behavior in revenue management settings, applying revenue management techniques to platform settings, and empirical studies in revenue management.