Quantitative Modeling
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SMG QM 450: Business Analytics
Improves students' ability to think logically about and to structure complex managerial problems; and to develop Excel-based spreadsheet models that can be used to significantly improve managerial decision-making. The course is taught almost entirely by example, using problems from the main functional areas of business: Finance, Operations, and Marketing. Students learn about the two main types of modeling approaches: optimization models which can help find the "best" solution, and simulation models which allow explicit consideration of risk trade-offs associated with alternatives. 4 cr. -
SMG SM 221: Probabilistic and Statistical Decision Making for Management
Sophomore requirement. Exposes students to the fundamentals of probability, decision analysis, and statistics, and their application to business. Topics include probability, decision analysis, distributions, sampling, estimation, hypothesis testing, and chi-square. Please note: Students may not receive credit for both SMG SM 221 and CAS EC 305. -
SMG SM 222: Modeling Business Decisions and Market Outcomes
Sophomore requirement. Examines the use of economic and statistical tools for making business decisions. Topics include optimization (including linear programing), multiple regression, demand modeling, cost modeling, industry analysis (including models of perfect competition, monopoly, and oligopoly), and game theory. The course emphasizes modeling with spreadsheets. (There is also an Honors Program section for this course offered each Spring, numbered SMG SM 224).

