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DSC 784: Optimization And Prescriptive Models

3 credits

Students will be introduced to the basic concepts, principles, and techniques of decision modeling and analytics. The first part of the course focuses on the use of optimization to support decision-making in the presence of alternatives and business constraints. The second part focuses on the use of Monte Carlo simulation.

Learning Goals

Upon completing the course, Students will: • Understand the scope of management problems that can be addressed with decision models; and learn to identify opportunities for creating value using decision models; • Develop models that can be used to improve decision making within an organization; • Sharpen their ability to structure problems and to perform logical analyses; • Practice translating descriptions of decision problems into formal models, and investigate those models in an organized fashion; • Recognize the types of modeling tools most adapted to a given situation; • Know how to assess the significance of model outputs for managerial insights and action; • Strengthen their computer skills, focusing on how to use the computer to support decision-making.

*The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

Sections Offered: Fall 2024

Optimization And Prescriptive Models
0207-784-001 E. Lim Aug 26 - Oct 21 Mon 5:45 pm - 9:45 pm GC - NEX 241 3
0207-784-002 TBA Oct 19 - Dec 14 Sat 1:00 pm - 4:20 pm GC - HHE 109 3 This Course is Filled to Capacity

Sections Offered: Spring 2024

Optimization And Prescriptive Models
0207-784-001 J. Mroz Jan 23 - Mar 12 Tue 5:45 pm - 9:45 pm GC - SWL 114 3 This Course is Filled to Capacity
0207-784-002 M. Wentz Jan 23 - Mar 12 Tue 5:45 pm - 9:45 pm GC - HHE 112 3

 
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