2020-2021 Graduate Catalogue Archived Catalogue
|
MIS 560 - Data Mining Course Description: This course covers the major techniques of data mining and their application to business. Data mining is an interdisciplinary, computer-based process for finding patterns within data. This course provides an introduction and a hands-on experience with data mining software.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: QMM 280 (min grade D-) or STT 215 (min grade D-) Additional Restrictions/ Requirements: Prerequisite courses or equivalent. Course Repeatability Course may not be repeated
ADDITIONAL COURSE INFORMATION
Equivalent Courses: None Undergraduate Crosslisting: None Additional Course Fees: None Course Attribute: None
Click here for the Spring 2025 Class Schedule.
|