Short Course schedule
Friday, May 8 - Thursday, May 21, 2026
| Date | Module | About | Instructor |
|---|---|---|---|
| Friday, May 8 | Module A: Process Synthesis | Emphasizes conceptual design and flowsheeting | |
| Monday, May 11 | Module B: Python Computing with Applications in Data Science and Machine Learning | Emphasizes hands-on skills and introduction to data science and machine learning | |
| Tuesday, May 12 | Module C: Nonlinear Programming | Emphasizes latest NLP algorithms and applications | |
| Wednesday, May 13 | Module D: DAE Models for Real Time Optimization | Emphasizes dynamical systems and process stability | |
| Thursday, May 14 | Module E: Mixed-integer and Disjunctive Programming | Emphasizes efficient modeling with logical variables | |
| Friday, May 15 | Module F: Global Optimization and Optimization under Uncertainty | Emphasizes state-of-the art methodologies and software for MINLPs | |
| Monday, May 18 | Module G: Mixed-integer Models for Planning and Scheduling | Emphasizes modeling alternatives and specialized solution methods | |
| Tuesday, May 19 | Module H: Models and Algorithms for Supply Chain Optimization | Emphasizes both exact and metaheuristic approaches | |
| Wednesday, May 20 | Module I: Sustainable Systems Modeling—Electrification, Decarbonization, Circularity | Emphasizes the formulation of optimization problems for the design of sustainable/circular processes | |
| Thursday, May 21 | Module J: Modeling Extensions and Solution of Large-Scale | Emphasizes hands-on software skills for large-scale optimization with Pyomo |