Management Information Systems

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Undergraduate Course Details
Number ODS 467
Title Applied Forecasting Methods: A Computer Approach
Credits 3.0
Prerequisites ODS 262, MAT 108 or MAT 208

Description

An examination of short- and long-term forecasting methods, and their application in planning, decision-making and control. The traditional forecasting methods will be augmented by inclusion of prediction methods such as logistic regression and neural networks. Applications directly related to all subject areas of Business will be covered and software used for forecasting and prediction will be used. Emphasis willl be placed on problem solving, class discussion, and computer application. Three lecture hours per week. Required of Business Administration, ODS Concentration. Not open to students who have received credit for MIS467.

Marketing

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Undergraduate Course Details
Number ODS 467
Title Applied Forecasting Methods: A Computer Approach
Credits 3.0
Prerequisites ODS 262, MAT 108 or MAT 208

Description

An examination of short- and long-term forecasting methods, and their application in planning, decision-making and control. The traditional forecasting methods will be augmented by inclusion of prediction methods such as logistic regression and neural networks. Applications directly related to all subject areas of Business will be covered and software used for forecasting and prediction will be used. Emphasis willl be placed on problem solving, class discussion, and computer application. Three lecture hours per week. Required of Business Administration, ODS Concentration. Not open to students who have received credit for MIS467.

Operations & Decision Sciences

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Undergraduate Course Details
Number ODS 467
Title Applied Forecasting Methods: A Computer Approach
Credits 3.0
Prerequisites ODS 262, MAT 108 or MAT 208

Description

An examination of short- and long-term forecasting methods, and their application in planning, decision-making and control. The traditional forecasting methods will be augmented by inclusion of prediction methods such as logistic regression and neural networks. Applications directly related to all subject areas of Business will be covered and software used for forecasting and prediction will be used. Emphasis willl be placed on problem solving, class discussion, and computer application. Three lecture hours per week. Required of Business Administration, ODS Concentration. Not open to students who have received credit for MIS467.