CSDA 5330
Machine Learning for Predictive Analytics
Webster University · UGRD · Fall 2026
3 sections3 open now
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
MC
19 openSeats: 0/24 seats Last recorded: Aug 7, 2026, 4:06 PMClass #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 PMClass #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 PMClass #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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