Will Ma - Teaching materials I've created

10 Lectures on Online and Data-driven Algorithms (with exercises)

From my PhD class Columbia B9136. Please inform me of any typos.

Lecture 1: 4.5 Proofs of the basic Prophet Inequality (exercises are in lecture notes)
Lecture 2: Unknown Distributions and/or Random Order (exercises)
Lecture 3: Multiple Units and Online Contention Resolution (exercises)
Lecture 4: Online Bipartite Matching (exercises)
Lecture 5: Assortment Optimization (exercises)
Lecture 6: Online Multi-Resource Allocation (exercises)
Lecture 7: Constant Regret in Online Resource Allocation (exercises)
Lecture 8: 7 Proofs of Data-driven Newsvendor, part 1 (exercises)
Lecture 9: 7 Proofs of Data-driven Newsvendor, part 2 (exercises)
Lecture 10: Bayesian Mechanism Design and Prophet Inequalities (exercises)

From my MBA/Engineering classes Columbia B8109/B8108, about Supply Chain Management and related topics.

Ventilator Rationing during the Covid-19 Pandemic (sample)

*Finalist, INFORMS Case Competition, 2020
Temu: Slow and Cheap Wins the race (sample)