Introduces students to the tools and techniques necessary for effective decision-making in business organizations operating in a complex and dynamic environment. Prerequisites: MATH 019 or MATH 021; STAT 141 or STAT 143 or EC 170; or PSYS 053 and PSYS 054; Business Administration, Computer Science and Information Systems, and Engineering Management majors; Business Administration Minor; Minimum Sophomore standing.
Prereqs enforced by the system: MATH 019 or MATH 021 and STAT 141 or STAT 143 or EC 170 or PSYS 053 and 054; Minimum Sophomore standing; BSAD, CSIS, EMGT majors or BSAD minors only; Required course specific fee of $25; Open to Degree and CDE students
The primary objective of this course is to provide students with a sound conceptual understanding of the role of quantitative methods in the decision-making process by business organizations competing in a complex and dynamic environment. More specifically, this course will (a) introduce students to the science of fact-based, data-driven decision making; (b) expose students to different approaches, support tools, and analytical methods for decision-making; (c) enhance and reinforce students’ analytical skills and their ability to use information; and (d) develop, integrate and reinforce students’ modeling skills (often based on spreadsheet usage) by using such skills in a variety of applications. Topics include: (a) probability & decision analysis; (b) optimization tools and constrained resource allocation; (c) time series analysis, and forecasting; and (d) project scheduling.
This format of this course will mostly consist of a combination of lectures, in-class problems, and in-class computer exercises. Students are required to bring a fully operational laptop (with the required software) to class when requested.
Grades will be based on class attendance and participation, short quizzes, homework assignments, and three written examinations (including one comprehensive final exam).
Ifshin Hall 240 (View Campus Map)
to on Monday and Wednesday
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Note: These dates may not be accurate for select courses during the Summer Session.
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