BIT 2406 – Business Statistics, Analytics & Modeling (Hybrid)
· BIT 2406 is an undergraduate core (required) course that is required by various programs in the Pamplin College of Business, such as Business Information Technology, Accounting, Finance, and Marketing. Therefore, students have diverse backgrounds and interests, which creates the need to tailor the course content and delivery accordingly. Furthermore, this is the first class in which the concept of modeling and optimization is introduced to the students.
· The two sections (in-person and online) combined were approximately 67 students, 60 in-person and 7 online, which is consistent with the average class size of the course. The course is mostly taken by sophomores.
· Designed the entire course based on the course textbook and its supplementing materials. The course textbook is Introduction to Management Science, 13th Edition by Bernard Taylor, III.
· Received monthly feedback from the students and made adjustments to the course design to respond to their needs better.
· Topics Covered: Linear Programming, Optimization, Mathematical Models (Assignment, Transportation, Portfolio Optimization, Scheduling, Production Planning, Blending Problems), Network Optimization Models and Algorithms, Multicriteria Decision Making, Decision Analysis, Forecasting Methods.
· SPOT Feedback for Overall Effectiveness: 4.46/6.00 (In-Person) and 5.25/6.00 (Online)