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Business Analytics: Data Models and Decision

Advances in information technology and quantitative methods have dramatically changed how modern firms operate. Many strategic and operational decisions are currently based on models from operation management and management science. The objective of this course is to introduce the most important of these techniques and show how they can be used to make better decisions. The theory will be motivated by relevant examples with applications in operations, finance, management and marketing. Analysis and modeling will be performed using common spreadsheet software (excel). The course will primarily be taught through lectures and case discussions. Students will analyze cases and practice using data to make better and more informed decisions. The course will also highlight the potential disadvantages and limitations of quantitative decision methods. The course will cover techniques such as decision analysis, probability, statistics, econometrics, and optimization.