Graduate Course Works

• Georgia Tech
-- Course descriptions: CS, ISyE
CS 6520: Computational Complexity Theory (Y.Z. Ding)
ISyE 6225: Engineering Economy (S. Hackman)
ISyE 6230: Economic Decision Analysis (P. Griffin)
ISyE 6410: Statistic Models and Design of Experiments (A. Hayter)
ISyE 6411: Statistic Theory (A. Shapiro)
ISyE 6644: Simulation (C. Alexopoulos and D. Goldsman)
ISyE 6650: Probabilistic Models (D. Goldsman)
ISyE 6673: Financial Optimization (S. Ahmed)
ISyE 6669: Deterministic Optimization (J. Sokol)
ISyE 8901: Special Problems in Operations Research (C. Tovey)

• UC Berkeley
-- Course descriptions: BAPhD, ECON, EE, IEOR, STAT
BAPhD 239A: Introduction to the Theory of Finance (J. Sagi)
ECON 209A: Theory and Application of Non-Cooperative Games (S. Kariv)
ECON 209B: Repeated Games and Recursive Contracts (Y. Sannikov)
ECON 296: Asset Pricing (A. Szeidl)
EE 227A: Introduction to Convex Optimization (M. Wainwright)
IEOR 251: Facilities Design and Logistics (P. Kaminsky)
IEOR 254: Production and Inventory Systems (R. Leachman)
IEOR 262A: Mathematical Programming I (S. Oren)
IEOR 262B: Mathematical Programming II (I. Adler)
IEOR 263A: Applied Stochastic Process I (S. Ross)
IEOR 263B: Applied Stochastic Process II (H. Ahn)
IEOR 264: Computational Optimization (A. Atamturk)
IEOR 266: Network Flows and Graphs (D. Hochbaum)
IEOR 267: Queueing Theory (J.G. Shanthikumar)
IEOR 268: Applied Dynamic Programming (A. Lim)
IEOR 269: Integer Programming and Combinatorial Optimization (A. Atamturk)
IEOR 298: Stochastic Control and Financial Engineering (A. Lim)
IEOR 298: Levy Processes and Financial Engineering (A. Lim)
IEOR 298: Stochastic Optimization (J.G. Shanthikumar)
STAT 205A: Probability Theory I (D. Aldous)
STAT 205B: Probability Theory II (D. Aldous)
STAT 241A: Statistical Learning Theory (M. Jordan)
STAT 248: Analysis of Time Series (D.R. Brillinger)
STAT 251: Stochastic Analysis with Applications to Mathematical Finance (S. Evans)