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.
FALL 2025 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Lee |
SCI 115 |
W 6:00 pm-8:45 pm |
|
FALL 2025 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| O2 |
Joner |
|
ARR 12:00 am-12:00 am |
Students are assigned into class sections of approximately 15 with a teaching team member. Please note the prerequisite(s): completion of the prerequisite course or consent of the instructor is required. On-campus F1 and J1 student visa holders should contact the ISSO at isso@bu.edu before registering for any online courses. |
SPRG 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
Lee |
|
M 6:00 pm-8:45 pm |
|
SPRG 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Lee |
|
W 6:00 pm-8:45 pm |
|
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
