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.

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.

Measurable Learning Outcomes

Upon successful completion of this course, the student will be able to:

1. Integrate biblical principles within the field of economic and business forecasting. (PLO 1 introduced)
2. Collect relevant data, discover data patterns, and select the best forecasting technique. (PLO 2 emphasized)
3. Apply time series and regression forecasting techniques. (PLO 2 emphasized)
4. Apply classification techniques. (PLO 2 emphasized)
5. Use Excel-based ForecastX in data analysis, forecasting, and decision-making. (PLO 3 emphasized)

Course Assignment

Textbook readings and presentations

Course Requirements Checklist

After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview at liberty university.

All 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.

Exercises for homework (8)

The student will complete specific Homework questions found in the Exercises section at the end of the assigned reading material.

Entire 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.