2024 Spring > GRAD > msis > msis 672
Enterprise Data Mining and Predictive Analytics
Course #: msis 672
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 building frameworks needed in analyzing useful patterns in databases through the application of practical methods.
Pre Requisites:
pre-reqs: MBAMS 640 AND College of Management graduate
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 12267 | - |
Xu,Peng | On-line course | |
|
Session:
Spec Prg1
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
35
Enrolled:
35
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
pre-reqs: MBAMS 640 AND College of Management graduate
Course Attributes:
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| 02 | 14773 | - |
Namayanja,Josephine Mazzi | On-line course | |
|
Session:
Spec Prg1
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
30
Enrolled:
29
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
pre-reqs: MBAMS 640 AND College of Management graduate
Course Attributes:
|
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