COMP 306 - 001

Data Mining
Session
Regular Academic Session
Class Number
3197
Career
Undergraduate
Units
3 units
Grading
Graded Alpha
Description
Prerequisite: (COMP 231 or COMP 251 or COMP 271) and (STAT 103 or STAT 203 or ISSCM 241 or PSYC 304 or instructor permission).

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 231 or COMP 251 or COMP 271) and (at least C- in STAT 103 or STAT 203 or ISSCM 241 or PSYC 304 or instructor permission)
Class Notes
Combined with COMP 406-001.
Class Actions
Class Details
Instructor(s)
Satyaki Sikdar
Meets
TuTh 2:30PM - 3:45PM
Dates
01/13/2025 - 04/26/2025
Room
Cudahy Library - Room 318
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
35
Seats Open
10
Combined Section Capacity
45
Wait List Total
0
Wait List Capacity
0
Combined Section
Data Mining
COMP 306 - 001 (3197)
Status: Open - Enrl
Seats Taken: 15
Wait List Total: 0
Data Mining
COMP 406 - 001 (3198)
Status: Closed
Seats Taken: 20
Wait List Total: 0