Courses
List of courses taken in graduate studies.
Northwestern
- IEMS 435: Stochastic Simulation
- IEMS 450-1: Mathematical Optimization I
- IEMS 450-2: Mathematical Optimization II
- IEMS 451: Stochastic Optimization
- IEMS 453: Robust Optimization
- IEMS 454: Large Scale Optimization
- IEMS 455: Machine Learning
- IEMS 460-1: Stochastic Processes I
- IEMS 462-2: Predictive Analytics II
- IEMS 465: Simulation Experiment Design and Analysis
- IEMS 481: Logistics
- IEMS 482: Operations
- IEMS 490: Uncertainty Quantification
- OPNS 516: Stochastic Foundations
- MECH_ENG 470: High Performance Computing for Multiphysics Applications
- STAT 457: Applied Bayesian Inference
- STAT 465: Statistical Methods for Bioinformatics and Computational Biology
- MATH 321-1: Real Analysis
University of Michigan
- IOE 510: Linear Programming I
- IOE 512: Dynamic Programming
- IOE 513: Healthcare Operations Research
- IOE 516: Stochastic Processes II
- IOE 570: Design of Experiment
- IOE 574: Simulation Design and Analysis
- IOE 591: Bayesian Data Analysis
- STATS 600: Linear Models
- STATS 610: Statistical Inference
- STATS 611: Large Sample Theory
- SI 543: Programming I
- SI 563: Game Theory
- SI 601: Data Manipulation
- SI 618: Exploratory Data Analysis
University of Chicago
- STAT 31150 (CAAM 31150): Inverse Problems and Data Assimilation