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Course Evaluation Results

Course Details

Spring 2017-2018
* ORF 360   Graded A-F, P/D/F, Audit

Decision Modeling in Business Analytics

Mengdi Wang

Predictive analytics and decision modeling are two key components of business analytics. They provide decision makers with the fundamental rationality in evaluating performance, making decisions, designing strategies, and managing risk. ORF360 focuses on both popular decision models arising from real applications, as well as mathematical decision-making tools and concepts. The first half of the course introduces the basic decision models in revenue management and pricing. The second half of the course consists of a series of business themes, such as airlines, finance, healthcare, and games, and focuses on data-driven real-world applications.

Sample reading list:
Bertsimas, Dimitris, Robert Freund, Data, Models, and Decisions
Winston, Wayne, Operations Research: Applications and Algorithms
Simchi-Levi, David, Philip Kaminsky and E. Simchi-Levi, Designing and Managing the Supply Chain
Nagle, Thomas T., and John Hogan, The Strategy and Tactics of Pricing

Reading/Writing assignments:
Assignments and Final Project will involve mathematical modeling and problem solving, as well as case studies of real applications. For the final project, the students will be asked to independently identify decision problems in the real world, formulate the mathematic models, and design solutions/strategies.

Requirements/Grading:
Mid Term Exam - 30%
Problem set(s) - 30%
Other (See Instructor) - 40%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
ORF 245, ORF 307, ORF 309, or approval by instructor.

Other information:
Matlab, R

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
40588 L01 11:00 am - 12:20 pm T Th        Enrolled:45 Limit:45 Closed