Credits: 3 credits
Students learn to integrate personal judgment and intuition in realistic business situations with the most widely applicable methodologies of decision and risk analysis, probability and statistics, competitive analysis, and management science. Topics include an introduction to decision analysis and modelling; spreadsheet engineering and error reduction; framing decision analysis problems; framework for analyzing risk; data analysis; resource allocation with optimization models; multi-period deterministic models; multi-factor deterministic models; regression modelling; strategic interactive decisions; and interpreting models, data, and decisions.
Prerequisite: BUSN 5010 and BUSN 5030 or equivalent
Note: Students may only receive credit for one of BUSN 6250 or BUSN 6251
For more information, search for this course here.