Data Mining

Data Mining

Introduction to data mining techniques, familiarity with particular real-world applications, challenges involved in these applications, and future directions of the field. Optional hands-on experience with commercially available software packages.

Class Name Data Mining
Host School Syracuse University
Class Identifier IST 565
Credit Value 3 Credit Hours
Faculty Howard Turtle
Course Tool (Online) BlackboardCE
Class Description Introduction to data mining techniques, familiarity with particular real-world applications, challenges involved in these applications, and future directions of the field. Optional hands-on experience with commercially available software packages.
Class Disclaimer Students agree to the course parameters of the host institution, including but not limited to: course management tools, grading, any required residencies, possible synchronous sessions, and academic calendars. Students are expected to meet deadlines as outlined in course syllabus and to contribute to class participation. Please allow 2-3 weeks for grade processing after the end date of the course. Check that this delay will not interfere with deadline dates at your school for graduation or financial aid. ** Attached Syllabus is a Draft. Updated syllabus will be attached when available **
Delivery Asynchronous
Start and End Date January 18th, 2011 - May 11th, 2011
Start and End Time
(if synchronous)
Days of Week
(of class meetings, if synchronous)
Last Add Day December 17th, 2010
Residency Start and End Date No Residency
Syllabus Download Syllabus