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.

5311. Genomic Data Analysis in Practice I

4.00 credits

Prerequisites: Corequisite: ISG 5301. Recommended preparation: Undergraduate degree in biology or related discipline. Background in genetics.

Grading Basis: Graded

Practical introduction to genomic data analysis. Introduction to coding using Linux/bash, R/tidyverse and SLURM on a high performance computing cluster through the use of real data.

No classes found.