This course aims to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, ?regressions and clustering. We will discuss basic data mining algorithms in the class, and students will practice data mining techniques using Python or R. Prereq: CS 521, and CS 546 and either CS 579 or CS 669. Or instructor's consent.
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Lee |
KCB 102 |
W 2:30 pm-5:15 pm |
|
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A2 |
Lee |
SOC B57 |
R 6:00 pm-8:45 pm |
|
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
O2 |
Joner |
ROOM |
ARR TBD-TBD |
On-line course |
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Lee |
CAS 203 |
M 6:00 pm-8:45 pm |
|
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A2 |
Lee |
CAS 213 |
W 2:30 pm-5:15 pm |
|
Note: this course was also offered during Summer Term
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.