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CSE 3810: Computational Genomics
Computational methods for genomic data analysis. Topics covered include statistical modeling of biological sequences, probabilistic models of DNA and protein evolution, expectation maximization and Gibbs sampling algorithms, genomic sequence variation, and applications in genomics and genetic epidemiology.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- CSE 1729 or CSE 2050; STAT 3025Q or STAT 3345Q or STAT 3375Q or MATH 3160; open only to students in the College of Engineering. Recommended preparation: BIOL 1107.
Spring 2027 sections
Taught by Ion Mandoiu.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 3:30PM - 4:45PM / MoWe | Ion Mandoiu | Storrs | ITE 125 | 5 of 15 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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