Course Description
This course covers methods of collecting data, discovering data patterns, and selecting appropriate forecasting techniques. Time series, regression forecasting techniques, and classification models are introduced.
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Course Guide
View this course’s outcomes, policies, schedule, and more.*
*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.
Rationale
Understanding and being able to forecast relevant business and economic variables are vital for decision makers in companies or governments. This course provides the most useful quantitative techniques in business and economic forecasting. Excel-Based ForecastX computer software is used.
Course Assignment
Textbook readings and presentations
No details available.
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Discussions(8)
After reviewing the Learn material from the assigned Module: Week, the student will post at least 2 points that he/she has learned from them and at least 1 question that he/she may have. The student will also respond to at least 2 of his/her classmates.
Homework Assignments(8)
The student will complete specific Homework questions found in the Exercises section at the end of the assigned reading material.
Quizzes (4)
The student will complete 4 quizzes based on the textbook readings. Each quiz will consist of 30-multiple-choice questions and have a one-hour time limit.
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