Applied Data Mining and Artificial Intelligence (AI)
Session
Regular Academic Session
Class Number
1054
Career
Graduate Business
Units
3 units
Grading
Graded
Description
Data Mining involves the search for patterns in large quantities of data using techniques such as clustering, decision trees, neural networks, and association analysis. Machine learning, the process of using mathematical models of data to help a computer learn without direct instruction, an important application of artificial intelligence (AI), is also introduced.

Outcomes: The student will be able to build models using an industry-standard package and interpret the results; The student will be able to use AI-enabled tools to discover and extract implicit but potentially useful information from data.
Enrollment Requirements
Prerequisite: Graduate School of Business student.
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Class Details
Instructor(s)
Abhishek Sharma
Meets
Tu 6:00PM - 9:00PM
Dates
11/05/2025 - 02/10/2026
Room
Schreiber Center - Room 525
Instruction Mode
In person
Campus
Water Tower Campus
Location
Water Tower Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
12
Seats Open
28
Class Capacity
40
Wait List Total
0
Wait List Capacity
5