Academics

Course Catalog

GRAD > MSIS > 672

Enterprise Data Mining and Predictive Analytics

Description:
This course provides an introduction to data mining by exposing the theory behind the analytical concepts. It discusses data mining techniques and their use in strategic business decision making. This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, association, classification, prediction, time series forecasting, clustering, induction techniques, neural networks, and others. During the semester-long course, students work in teams on solving a business problem of their choice, using data mining tools and applying them to data (e.g., SPSS modeler). Data Mining provides a solution to organizations requests for emerging operational patterns that may add value to their business. The course includes the development of concepts used for b

Offered in:

2015 Fall

Section Class Number Schedule/Time Instructor Location
01 3950
-
Xu,Peng ON-LINE
Session: Cont. Education Session 1
Class Dates: 09/11/2015 - 12/11/2015
Capacity: 25
Enrolled: 27
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: pre-reqs: MBAMS 640 AND College of Management graduate
Course Attributes:

2016 Fall

Section Class Number Schedule/Time Instructor Location
01 6739
-
Xu,Peng ON-LINE
Session: Cont. Education Online Session
Class Dates: 09/12/2016 - 12/09/2016
Capacity: 25
Enrolled: 24
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: pre-reqs: MBAMS 640 AND College of Management graduate
Course Attributes: