ENGR3950-A Computational Optimization

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Registration begins Monday, Nov 02, 2026

School of Engineering and Science
Undergraduate

Term: Spring 2027
Session: 1st 8 Week On-ground (Jan 19 - Mar 12)
Start Date: Tuesday, Jan 19, 2027
End Date: Friday, Mar 12, 2027
Availability: On Campus
Day(s): Thurs.
Time: 06:00 PM to 10:00 PM

This course teaches mathematical programming solvers with applications in supply chain analytics and bioinformatics. The students learn how to model real world problems as mathematical programming formulations and feed the models to mathematical programming solvers. This course introduces a variety of problems in supply chain analytics and bioinformatics. The students model in the problems and solve them on small scale of problem instances using Excel Solver Add-In. Then the problem scale is extended to large real world problem instances and solve them using mathematical programming solvers GUROBI/CPLEX: Programming in Python the students feed a large scale of data to mathematical programming solvers and decode the output files from the solvers.Pre-req ENGR 3900 or MATH 3030 or MGMT 31803 Credits