Course: Linear Optimization (MA-242-1) 

MA 242 Linear Optimization An introduction to the application of linear mathematical models used for optimization and to support decision-making processes. Emphasis will be on formulating mathematical models of various problems encountered by decision-makers, developing and solving spreadsheet models, and interpreting their solutions. Topics include linear programming, sensitivity analysis, integer programming, network modeling, multiple objective programming, regression analysis, and time series forecasting. Computer analysis is utilized. 3 credits Prerequisite: MA 233 (Linear Algebra) or permission of instructor

Faculty:Credit: Day/Time:Pre-Regs:
Case3LECM W 9:25 AM 10:40 AMMA-233

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