Undergraduate Degrees, Majors and Concentrations

ENGR3950 - Computational Optimization

Summer 2021

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.
3 Credits

Important: Registration Information

Course Registration will occur in the Banner system. For information on how to register and planning tools to ensure that you're Ready to Register please visit:
Introducing Banner Self-Service
Preparing to register
Login to Banner Self-Service


 M  Monday
 T  Tuesday
 W  Wednesday
 R  Thursday
 F  Friday
 S  Saturday
 U  Sunday

Schedule Book for All Active and Available Future Terms, Course starting with ENGR3950
Page 1 of 1
Credits: 3
Days: R
Location: Moon
Room: John Jay 124
Time: 06:00-09:00 pm
Instructor: Shim
Session: 3 (01/16/2024 - 03/08/2024)
Term: Spring 2024