This course introduces nonmathematical managers to the major quantitative models designed for sound demand, competitive, and system forecasting in today's complex and increasingly uncertain business environment. The course is useful for multiple business disciplines, including general management, marketing, and finance. Topics include game theory, Markov processes, statistical quality control, exponential smoothing, and seasonally adjusted trend analysis. Emphasis is placed on a general understanding of theory, mechanics, application potential, available software packages, and templates. Prerequisite: introductory algebra.
(4 credits)
Spring term (23274)
Philip Anthony Vaccaro, PhD, Professor of Marketing and Decision Sciences, Salem State University.
