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CSE 4502: Big Data Analytics
Focuses on basic concepts of data science and big data analytics. Different algorithmic techniques employed to process data will be discussed. Specific topics include: Parallel and out-of-core algorithms and data structures, rules mining, clustering algorithms, text mining, string algorithms, data reduction techniques, and learning algorithms. Applications such as motif search, k-locus association, k-mer counting, error correction, sequence assembly, genotype-phenotype correlations, etc. will be investigated.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs, Stamford
- Requirements
- CSE 3500; MATH 2210Q; open only to students in the College of Engineering.
Spring 2027 sections
Taught by Matthew Lamoureux.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 12:30PM - 1:45PM / MoWe | Matthew Lamoureux | Storrs | TLS 154 | 0 of 50 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Chuxu Zhang, Wei Wei, and Nadia Udler.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:00AM - 12:15PM / TuTh | Chuxu Zhang | Storrs | FSB 216 | 8 of 37 open |
| 002 | LEC | 12:30PM - 1:45PM / TuTh | Wei Wei | Storrs | ITE 336 | 7 of 40 open |
| 801 | LEC | 4:00PM - 6:30PM / Tu | Nadia Udler | Stamford | DWTN 317A | 16 of 25 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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