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3810. Computational Genomics
Also offered as: BME 3810
3.00 credits
Prerequisites: BIOL 1107; CSE 1729 or CSE 2050; STAT 3025Q or 3345Q or 3375Q or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors.
Grading Basis: Graded
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.
Last Refreshed: 31-MAR-23 05.20.27.236357 AM
| Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1233 6995 1 001 | Spring 2023 | Storrs | In Person | Mandoiu, Ion | 001 | Reg | MoWeFr 2:30pm‑3:20pm |
ITE 127 | 9/20 |