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.

5672. Applied Bioinformatics

1.00 - 2.00 credits

Prerequisites: None.

Grading Basis: Graded

Computational analysis of biological datasets. Lecture will cover background and theory. In the computer lab, sample data will be used to perform bioinformatics analysis. The course is taught as a series of modules with each focused on a different aspect.

Last Refreshed: 01-MAR-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2024 3713 Storrs In Person Klassen, Jonathan 001 Reg Fr 3:00pm‑7:00pm
Sa 9:00am‑5:00pm
0/12 TLS 411
TLS 411
1.00 Graded