Detailed Course Information

Select the desired Level or Schedule Type to find available classes for the course.

CSC 305 - Data Mining and Applications
Data Mining and Applications Prerequisite: CSC 202 or 210 Data mining is the process of extraction of implicit, previously unknown and potentially useful information from data. This course provides fundamentals of data mining and knowledge discovery including: knowledge representation, association analysis, clustering, predictive modeling, anomaly detection, visualization and so on. The emphasis will be laid on using techniques in different settings, including business, medicine, science and engineering, rather than developing new techniques or algorithms. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science Department Course Attributes: NewMedia Computation Conc Prerequisites: CSC 210 or CSC 202

CSC 305 - Data Mining and Applications

Data Mining and Applications
Prerequisite: CSC 202 or 210

Data mining is the process of extraction of implicit, previously unknown and potentially useful information from data. This course provides fundamentals of data mining and knowledge discovery including: knowledge representation, association analysis, clustering, predictive modeling, anomaly detection, visualization and so on. The emphasis will be laid on using techniques in different settings, including business, medicine, science and engineering, rather than developing new techniques or algorithms.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
NewMedia Computation Conc

Prerequisites:
CSC 210 or CSC 202

Return to Previous	New Search

Return to Previous

New Search

Skip to top of page

Detailed Course Information		Current Oct 23, 2021