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COURSE INFORMATION

COURSE TITLE Data Mining
CREDIT RANGE 3.000
SCHOOL Seidenberg School of CSIS
DEPARTMENT Computer Science 
LEVEL Graduate
COREQUISITE none
PREREQUISITE Pre-requisite for CS 619
( Course : CS 602 .
Minimum Grade of C. )
DESCRIPTION:

Course Description: This course will provide an overview of topics such as introduction to data mining and knowledge discovery; data mining with structured and unstructured data; foundations of pattern clustering; clustering paradigms; clustering for data mining; data mining using neural networks and genetic algorithms; fast discovery of association rules; applications of data mining to pattern classification; and feature selection. The goal of this course is to introduce students to current machine learning and related data mining methods. It is intended to provide enough background to allow students to apply machine learning and data mining techniques to learning problems in a variety of application areas.

Course Rotation: PL, GC and Online: Fall.



SECTION INFORMATION

CRN: 50168
SUBJECT: CS
COURSE NUMBER: 619
SECTION TITLE: Data Mining
CAMPUS: Online
SCHEDULE TYPE: Lecture
REQUIRED MATERIAL: To Be Determined
SECTION COMMENTS: This is an online section that requires attendance and participation via Blackboard.
COREQUISITE None
FEES: 0
CAPACITY 20
SEATS AVAILABLE 8
INSTRUCTOR: David Benjamin
RESTRICTION(S):

Online

Online Type Date
BlackBoard 07/15/2019 - 08/24/2019