Document Type
Syllabi
School
HSB
Department
EFAQ
Course Subject
QMBE
Course Number
3740
Course Section
01
Course Title
Data Mining
Academic Term and Year
Fall 2016
Credits
4.00
Area of Study
BSAN
Course Description
Goals: Introduce students to data mining techniques and best practices. Content: This course includes classification, prediction, data reduction, and data visualization. Advanced regression, network and cluster analysis. Taught: Alternate Years Prerequisites: QMBE 1320 (grade of C- or better) Credits: 4
Recommended Citation
Lochner, John, "QMBE3740-01.Data Mining.F16.Lochner,John" (2016). Historic Syllabi -- full text access limited to internal Hamline administrative staff only. 1437.
https://digitalcommons.hamline.edu/syllabi/1437
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