BDA 508: Advanced Analytics

This course introduces students to challenging business problems in distribution, routing and scheduling, and to the solutions strategies for such problem via discrete optimization. The topics include integer programming techniques such as cutting plane and branch and bound, special purpose algorithms for distribution and network problems, and heuristic optimization techniques for combinatorial optimization, such as Simulated Annealing, Tabu Search, Evolutionary Algorithms, Ant Colony Optimization.

3 credits, Letter graded (A, A-, B+, etc.)

BDA 510: Advanced Data Analysis and Decision Making

By successfully completing this course, the student will have an understanding of the ways in which advanced statistical methods are used to address significant decision-making problems as they arise in the business setting. Specifically, the student will understand the various ways in which decision problems can be formulated and solved and how to deal with violations of the assumptions commonly found in standard methods. The student will have a greater understanding of multivariate models and ways to build them, and how to handle data collected over time in looking for trends and in making predictions.

3 credits, Letter graded (A, A-, B+, etc.)

BDA 513: Risk and Uncertainty Analysis

This is a hands-on course on computer simulation and other probabilistic modeling approaches to analyze and improve business, service, and manufacturing systems that are subject to risk. The course takes the perspective of the consultant whose job is to analyze managerial decision based on imperfect observations and unknown outcomes to understand the behavior of the system and explore the effects of alternative decisions.

3 credits, Letter graded (A, A-, B+, etc.)