Course Description: 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.
Section Description: BSAD 30 is an introductory Decision Analysis / Quantitative Methods course for undergraduates. The goal of this class is to provide students with a conceptual understanding of the role quantitative methods play in the decision-making process. There are many types of quantitative approaches. Students are introduced to a number of “common” quantitative methods/approaches to increase their awareness and understanding of different approaches, improve their decision-making and critical thinking skills, and improve their technical, quantitative, and analytical abilities. BSAD 30 is required for all business students. Some topics that are covered include: 1) basic models of revenue, cost, and profit, 2) a refresher on statistical experiments and sample space and the use of basic descriptive statistics, 3) discrete and continuous random variables and different probability distributions, 4) decision analysis with and without probabilities, 5) setting up, solving, and interpreting basic linear programming models graphically and using MS Solver (software), 5) sensitivity analysis, 6) supply chain / transportation problems (assignment, shortest-path, transshipment), 7) simple and multiple linear regression, 8) time series analysis and forecasting, and 9) PERT/CPM.
|MW||15:30 - 16:45||KALKIN BUILDING 110|
Instructor(s): David Novak
Meeting Dates: 26 Aug 2019 - 06 Dec 2019