Minor Program

The interdisciplinary program in operations research consists of six courses comprised of four core courses and two electives.

The four core courses are:

  01:640:424  Stochastic Models in Operations Research (3)

  01:711:453  Theory of Linear Optimization (3) or 01:640:354  Linear Optimization (3)

  01:711:465  Integer Programming (3)

  01:711:481  Case Studies in Applied Operations Research (3)

Electives may be chosen from the following:

  01:198:323  Numerical Analysis and Computing (4)

  01:198:344  Design and Analysis of Computer Algorithms (4)

  01:198:424  Modeling and Simulation of Continuous Systems (4)

  01:198:425  Computer Methods and Statistics (4)

  01:198:440  Introduction to Artificial Intelligence (4)

  01:220:322  Econometrics (3)

  01:220:326  Econometric Theory (3)

  01:220:401  Advanced Econometrics (3)

  01:220:415  Portfolio Theory (3)

  01:220:419  Managerial Economics (3)

  01:220:421  Economic Forecasting and Big Data (3)

  01:220:430  Topics in Advanced Economic Theory (3)

  01:220:436  International Finance and Macroeconomics (3)

  01:640:321  Introduction to Applied Mathematics (3)

  01:640:338  Discrete and Probabilistic Models in Biology (3)

  01:640:355  Game Theory (3)

  01:640:373  Numerical Analysis I (3)

  01:640:428  Graph Theory (3)

  01:640:454  Combinatorics (3)

  01:711:447  Discrete Mathematical Models and Optimization (3)

  01:960:337  Managerial Statistics (3)

  01:960:390  Introductory Computing for Statistics (1)

  01:960:467  Applied Multivariate Analysis (3)

  01:960:483  Statistical Quality Control (3)

  01:960:484  Basic Applied Statistics (3)

  01:960:491  Reliability-Quality Control (3)

  14:540:311  Deterministic Models in Operations Research (3)

  14:540:338  Probability Models in Operations Research (3)

  33:623:370  Management Information Systems (3)

  33:623:386  Operations Management (3)

The choice of alternate pertinent electives should be approved by the graduate program director.