Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

6800. Computational Genomics

3.00 credits

Prerequisites: CSE 5800 or BME 5800. Open to graduate students in the CSE program, others with consent.

Grading Basis: Graded

Advanced computational methods for genomic data analysis. Topics covered include motif finding, gene expression analysis, regulatory network inference, comparative genomics, genomic sequence variation and linkage analysis.


Last Refreshed: 28-MAR-24 05.20.12.635703 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 7265 Storrs In Person Mandoiu, Ion 001 Reg MoWeFr 1:25pm‑2:15pm
4/15 ITE 119 3.00 Graded