Back to learning exercises hit list
Search all MERLOT
Click here to go to your profile
Select to go to your workspace
Click here to go to your Dashboard Report
Click here to go to your Content Builder
Click here to log out
Search Terms
Enter username
Enter password
Please give at least one keyword of at least three characters for the search to work with. The more keywords you give, the better the search will work for you.
select OK to launch help window
cancel help

MERLOT II


    

Learning Exercise


Material: The Buggy Palace Sales Forecasting Exercise
Submitted by: Zinovy Radovilsky on Mar 26, 2000
Date Last Modified: May 16, 2000
Title: The Buggy Palace Sales Forecasting Exercise
Description: The assignment teaches how to apply simple forecasting techniques: naive forecast, moving average, and exponential smoothing. The students are required to do one of this forecasts manually and then put the result on computer. The computer compares the student's result with the correct one and gives the feedback to the student. If the student's result is not correct, he/she is required to repeat one more time. This assignment can be used to improve student skills in developing simple forecasts. It may be applied in the several undergraduate courses, specifically in an introductory course in Management Science, Quantitative Business Methods, Operations Management, and Marketing/Sales.
Type of Task: Individual, Supplemental activity
Topics: Simple forecasting techniques: naive forecast, moving average, and exponential smoothing
Course: Management Science, Quantitative Business Methods, Operations Management, Marketing/Sales Management
Audience: College Upper Div Major
Categories:
Learning Objectives: 1.Understanding formulas of the simple forecasting techniques: naive forecast, moving average, and exponential smoothing. 2. Applying simple forecasting techniques
Text of Learning Exercise:

  1. Reserve the computer lab for the class.

  2. Before using the exercise, explain in class the following
    forecasting techniques: naive forecast, moving average, and exponential smoothing.

  3. Explain the objectives and rules of the exercise. Show an
    example on how to use the exercise.

  4. Give the students about 15-20 minutes for using the
    exercise online.

  5. Monitor students' performance and help them to proceed
    with the exercise.

  6. Discuss with the students the results of their work and
    their perception about the online exercise.

Bookmark and Share