ISE-6514: Advanced Mathematical Programming
Description: Convex analysis, optimality conditions, network flows, decomposition algorithms, linear programming theories, duality theories, conic programming including semidefinite programming, integer programming, stochastic optimization, robust optimization. Various topics on applications of mathematical programming, such as financial engineering, transportation, machine learning, and data analytics.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 2
Average GPA: 3.68 (rounds to A-)
Strict A Rate (No A-) : 64.60%
Average Withdrawal Rate: 0.00%
| Rohit Kannan | 2023 | 62.5% | 37.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.66 | 1 |
| Weijun Xie | 2021 | 66.7% | 33.3% | 0.0% | 0.0% | 0.0% | 0.0% | 3.70 | 1 |