CIS 3320 - Prescriptive Analytics

Credits: 3

Prerequisite(s): ENG 1020 or ENG 1021; completion of General Studies requirements in Oral Communication; “C-” or better in MTH 1310 or MTH 1110; CIS 2320 or CIS 3300; and at least junior standing.

Description: The course introduces the fundamental principles and techniques of quantitative methods as they are applied to solve complex decision-making problems within a business environment. The course covers topics such as linear programming, transportation and assignment problems, project management, decision analysis, queuing analysis, simulation, forecasting, and inventory management. Students learn how to formulate and solve multiple quantitative models, interpret the results, and make informed business decisions based on them. They also acquire practical skills in using software tools for problem solving, such as Excel Solver. Upon completion of the course, students have a solid understanding of quantitative methods concepts and techniques and will be able to apply them to real-world business decision-making problems.

Note: Course modified June 25, 2024.