Description

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

Semesters

Fall 2025 Semester
Course Title Instructor Campus Section Syllabus
Business Forecasting William Smith, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource
Business Forecasting William Smith, Ph.D. Distance N01 external Syllabus via Concourse External Resource