Data Mining


Data Mining

MET CS 699 (4 credits)

Prerequisites: MET CS 521 & MET CS 546; MET CS 579 or MET CS 669; or consent of instructor. - Study basic concepts and techniques of data mining. Topics include data preparation, classification, performance evaluation, association rule mining, regression and clustering. Students learn underlying theories of data mining algorithms in the class and they practice those algorithms through assignments and a semester-long class project using R. After finishing this course, students will be able to independently perform data mining tasks to solve real-world problems.

2025SPRGMETCS699A1, Jan 21st to May 1st 2025

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM CAS 218

2025SPRGMETCS699A2, Jan 21st to May 1st 2025

Days Start End Type Bldg Room
W 06:00 PM 08:45 PM EPC 206

2024FALLMETCS699A2, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM HAR 322

2024FALLMETCS699A3, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
W 02:30 PM 05:15 PM COM 213

2024FALLMETCS699O2, Oct 29th to Dec 16th 2024

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

2023SUM1METCS699SC1, May 25th to Aug 10th 2023

Days Start End Type Bldg Room
R 06:00 PM 09:30 PM STH 113

2023SUM1METCS699SO1, May 9th to Jun 26th 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

Format & Syllabus: