0 or 3 credits
Spring 2026 Laboratory Lecture Upper Division
This course will teach the basic skills and knowledge required to operate in UNIX environment and program in Python. The course is designed to teach graduate, and advanced undergraduate students in plant and animal sciences the skill set required to analyze and interpret their own datasets. The lectures and associated lab section will provide students hands-on experience in working within a high-performance computing environment to analyze genome-scale datasets.
Learning Outcomes1Define their biological data analysis as a computational problem.
2Identify portions of the analysis that will benefit from parallelization.
3Write one or more scripts that use the computational power provided by compute clusters to analyze large biological data sets in a speedy manner.
Restrictions
made by Purdue students.