MGMT 465 - Supply Chain Forecasting with Machine Learning

Units: 3
The course presents concepts and methods of time series forecasting in supply chains using machine learning algorithms and software. The emphasis is on data patterns evaluation, forecast accuracy, smoothing models, regression with trend and seasonality, ARIMA models, and neural networks.

Prerequisites:

MGMT 350 or BAN 310
Possible Instructional Methods: On-ground, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Course Typically Offered: Variable Intermittently

Student Learning Outcomes - Upon successful completion of this course students will be able to:

Identify major emerging technologies that change the way we operate business.
Analyze the impact of emerging technologies on business operations.
Explain how to employ emerging technologies in business operations