Knowledge Discovery in Databases - KDD
Prerequisites: ITCS6160, full graduate standing or content of the department.
Textbook: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbauch,
Vipin Kumar, Addison Wesley.
Reducts(Video by L. Powell)
Study Report is required for ADKD Certificate Program students. It should be submitted to "firstname.lastname@example.org" anytime before the Final exam.
Rubrics will be used for grading the Study Report:
Midterm: October 9
Final: Dec 11 (Wednesday), 5:00pm-7:30pm
Points for MS/PhD students: 30 points Test, 30 points Final, 30 points Project, 10 points Attendance
Points for ADKD students (not in MS/PhD Program): 30 points Test, 30 points Final, 30 points Project + Study Report, 10 points Attendance
Grades: A [90-100], B [80-89], C [65-79]
Class Location: City 602
Meeting Time: Wednesday, 5:30-8:15pm
Instructor:   Zbigniew W. Ras
Location: Woodward Hall 430C
Office Hours (City 714): Wednesday (Except October 9, Last one - Nov 20), 4:00-5:15pm
Office Hours (Woodward 430C): Thursday: 11:30am-1:00pm
Location: KDD Lab. (Woodward Hall 402)
Office Hours (Woodward 402): Thursday: 1pm-4pm