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Undergraduate Courses · Introduction to the Computer as an Analysis Tool: This is our departmental undergraduate core course, which focuses on analytical, data driven approaches to decision making. Students learn to mathematically model common business problems in terms of constrained optimization. They populate their models using data gathered from online sources and relational databases. Microsoft Excel and VBA are used to illustrate the use of computers for automatically gathering online data, populating the mathematical models, and performing sensitivity analysis. · Database Management Systems: This is an introductory course in database systems with an emphasis on relational systems (conceptual and logical models, relational algebra and query optimization, relational constraints, and transaction management). Contemporary topics including data integration, semistructured data (database-backed web sites), and the vector-space model of information retrieval are also covered.
MBA Courses · Database Management Systems: This is an introductory course in database systems aimed at MS (Information Systems)/MBA students. Traditional database topics are couched in terms of entrepreneurial strategy. For example, querying is motivated by database marketing and customer lifetime value considerations. Constraints are motivated by data quality considerations. Contemporary topics including data integration, semistructured data (database-backed web sites), and the vector-space model of information retrieval are also covered. · Value Networks (Data integration in the Supply Chain): This was an experimental, case-based course designed and taught in cooperation with Morris Cohen, the Panasonic Professor of Manufacturing and Logistics at the Wharton School and Ted Rybeck, founder and CEO of Benchmarking Partners. Students studied technical challenges, risks, and benefits associated with information sharing and data integration between supply-chain partners. Students then worked with industry clients to propose specific value-chain strategies.
PhD Seminars · Foundations for Information and Decision Technologies Logical · Heuristic Methods in Information and Decision Technologies