This course provides a survey of forecasting methods used by managers and forecasting practitioners. Topics include time-trend, regression-based, time-series decomposition, and auto-regressive moving average methods.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00


Fall 2023 Semester
Course Title Instructor Campus Section Syllabus
Business Forecasting William Smith, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource