COMP 306 - 001

Data Mining
Session
Regular Academic Session
Class Number
4988
Career
Undergraduate
Units
3 units
Grading
Graded Alpha
Description
Prerequisites: (COMP 251 or COMP 353) and (STAT 103 or STAT 203 or STAT 335 or ISSCM 241 or PSYC 304 or instructor permission) and (COMP 150 or COMP 170).

This course covers theory and practice of the analysis (mining) of extremely large datasets. With data growing at exponential rates knowledge gathering and exploration techniques are essential for gaining useful intelligence.

Outcomes: Students will be able to define and critically analyze data mining approaches for fields such as security, healthcare, science and marketing.
Enrollment Requirements
Prerequisites: (At least C- in COMP 251 or COMP 353) and (at least C- in STAT 103 or STAT 203 or STAT 335 or ISSCM 241 or PSYC 304 or instructor permission) and (at least C- in COMP 150 or COMP 170).
Class Notes
Synchronous Class Meeting: Instruction will be delivered online synchronously following the days/times indicated on the schedule.
Class Actions
Look up course materials
Class Details
Instructor(s)
Satyaki Sikdar
Meets
TuTh 4:15PM - 5:30PM
Dates
08/25/2025 - 12/13/2025
Room
Crown Center - Room 210
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
6
Seats Open
54
Combined Section Capacity
60
Wait List Total
0
Wait List Capacity
0
Combined Section
Data Mining
COMP 406 - 001 (4797)
Status: Open - Enrl
Seats Taken: 5
Wait List Total: 0
Data Mining
COMP 306 - 001 (4988)
Status: Open - Enrl
Seats Taken: 1
Wait List Total: 0