CSDA 5330

Machine Learning for Predictive Analytics

Webster University · UGRD · Fall 2026

3 sections3 open now
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Catalog description

This course studies algorithms and computational paradigms that allow computers to find patterns and regularities in data. Students will study what is currently regarded as the key elements of a more general process called "knowledge discovery" that deals with extracting useful knowledge from raw data. The course will cover supervise and unsupervised machine learning models such as association, classifying, and regression models and will illustrate the whole process by industry based applications. Prerequisites : CSDA 5110 and BUSN 5760.

Sections

Current meeting, instructor, credit, and enrollment details

Updated 4 hours ago

MC

19 openSeats: 0/24 seats Last recorded: Aug 7, 2026, 4:06 PM
Class #446702Fall 2026UGRD3 credits
19 available24 capacity
Days & times
R 1730-2030
Meeting dates
Aug 24 – Dec 18
Location
Instructor
Staff
Details checked 4 hours agoSeats checked 4 hours ago

Z2

13 openSeats: 0/24 seats Last recorded: Aug 7, 2026, 4:06 PM
Class #446755Fall 2026UGRD3 credits
13 available24 capacity
Days & times
W 1330-1630
Meeting dates
Aug 24 – Dec 18
Location
Webster Groves, MO USA East Academic Building
Instructor
Wang, Jiangping
Details checked 4 hours agoSeats checked 4 hours ago

Z3

1 openSeats: 0/24 seats Last recorded: Aug 7, 2026, 4:06 PM
Class #446756Fall 2026UGRD3 credits
1 available24 capacity
Days & times
T 1400-1700
Meeting dates
Aug 24 – Dec 18
Location
Webster Groves, MO USA East Academic Building
Instructor
Rivers III, Willie J.
Details checked 4 hours agoSeats checked 4 hours ago
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