IDSC4444
IDSC 4444 - Descriptive and Predictive Analytics (2 Cr.)
Information & Decision Sciences (11266)
TCSM - Curtis L. Carlson School of Management
IDSC 4444 - Descriptive and Predictive Analytics (2 Cr.)
Course description
Descriptive and Predictive Analytics exposes students to a number of data mining and machine learning methods, including: exploratory methods (such as association rules and cluster analysis), predictive methods (such as K-NN and decision trees), and text mining methods. The course combines theoretical lectures with lab lectures, where the methods are practically implemented using the software R.
prereqs: IDSC 3001; non-MIS majors also need IDSC 4110
prereqs: IDSC 3001; non-MIS majors also need IDSC 4110
Minimum credits
2
Maximum credits
2
Is this course repeatable?
No
Grading basis
A-F - A-F Grade Basis
Lecture
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring