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1 - 2 of 2 results for: OIT 245: Optimization and Simulation Modeling

OIT 245: Optimization and Simulation Modeling

This course provides basic skills in quantitative modeling. The objective is to familiarize students with the main steps in an analytical approach to business decision making: constructing an abstract model for a relevant business problem, formulating it in a spreadsheet environment such as Microsoft Excel, and using the tools of optimization, Monte Carlo simulation and sensitivity analysis to generate and interpret recommendations. The class will be taught in a lab style, with short in-class exercises done in small teams, focusing on a variety of applications drawn from advertising, healthcare, finance, supply chain management, revenue and yield optimization.
Units: 2 | Grading: GSB Letter Graded
Instructors: Bimpikis, K. (PI)

OIT 247: Optimization and Simulation Modeling - Accelerated

The course is similar in content and emphasis to OIT 245, but is aimed at students who already have background or demonstrated aptitude for quantitative analysis, and thus are comfortable with a more rapid coverage of the topics, in more depth and breadth.
Units: 2 | Grading: GSB Letter Graded
Instructors: Iancu, D. (PI)
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