BSAN 3325 Data-Driven Decision Models 3.0 Credits
This course equips students to build and apply quantitative models that support managerial decisions under certainty and uncertainty. The course covers linear and integer optimization, network models, nonlinear optimization, decision analysis, Markov processes, and Monte Carlo simulation. Students learn to translate business questions into tractable formulations and evaluate tradeoffs, constraints, and risk. Emphasis is on problem framing, interpretation, and communication rather than mathematical proofs. Work is completed using spreadsheets and analytics software. By the end of the course, students can select appropriate techniques, implement solutions, and clearly explain results to drive data-informed decisions in realistic business contexts.
Repeat Status: Not repeatable for credit
Prerequisites: (STAT 2201 [Min Grade: C] or STAT 201 [Min Grade: C]) and BUSN 1105 [Min Grade: C]