MBAC 414 - Decision Modeling - Case Western Reserve …:MBAC 414决策建模-凯斯西部保留地….doc

MBAC 414 - Decision Modeling - Case Western Reserve …:MBAC 414决策建模-凯斯西部保留地….doc

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MBAC 414 - Decision Modeling - Case Western Reserve …:MBAC 414决策建模-凯斯西部保留地…

(PRELIMINARY) QUMM 414: Statistics and Decision Modeling Instructor #1: Kamlesh Mathur (kamlesh.mathur@), 329 Peter B. Lewis, phone: (216) 368-3837 Office Hours: 6:30 – 7:30 or by appointment Teaching Assistant: Yi Wang (yxw85@); phone: (216) 235-6462 TA Office Hours: By appointment Instructor #2: Daniel Solow (daniel.solow@), 322 Peter B. Lewis, phone: (216) 368-3837 Office Hours: 7:45 – 8:15, after class, or by appointment. Teaching Assistant: Yi Wang (yxw85@); phone: (216) 235-6462 TA Office Hours: By appointment Fax: (216) 368-6250 Dept. Administrator: Elaine Iannicelli (eri@), 3rd floor Peter B. Lewis, phone: (216) 368-4141 Course Objectives: The primary objective of this course is to provide you with the ability to use and to communicate with those who use certain quantitative approaches to help make informed decisions for your organizations. A secondary objective is to provide you with the quantitative knowledge and skills that are needed in other MBA courses. The two groups of quantitative techniques are decision modeling and statistics. The objective of decision modeling is to develop mathematical models for a variety of business decision problems. Applications are drawn from manufacturing, transportation and distribution, marketing and finance. Because decision problems are usually complex, the mathematical models used to represent them are typically analyzed and solved using computer software (spreadsheet add-ons or dedicated programs). At the end of this part of the course you will be able to: Develop quantitative models for a wide class of business decision problems. Use computer software to obtain solutions to these models. Analyze the computer output and interpret the results in the context of the original problem. The objective of statistics is to summarize and present information contained in data sets, to draw conclusions about large populations based only on information obtained from samples, and, using these conclusions, to obtain reliable fo

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