Prerequisites: MET CS 521, MET LB 103 and MET LB 104; and either 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. You will learn underlying theories of data mining algorithms in the class and practice those algorithms through assignments and a semester-long class project using R. After finishing this course, you will be able to independently perform data mining tasks to solve real-world problems.
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Lee |
SOC B63 |
W 6:00 pm-8:45 pm |
|
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| O2 |
Lee |
|
ARR 12:00 am-12:00 am |
Students are assigned to class sections of about 20 with a member of the teaching team.
Student visa holders must contact their advisor for approval before registering for any online class. |
SPRG 2027 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Lee |
|
W 6:00 pm-8:45 pm |
|
SPRG 2027 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| O1 |
Lee |
|
ARR 12:00 am-12:00 am |
Students are assigned into class sections of about 20 with a member of the teaching team.
Please note any prerequisite(s). Completion of the prerequisite course or consent of the instructor is required.
F1 student visa holders should contact the CS Dept at metcs@bu.edu prior to registering for any online courses. |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
