BIOL 454 - Concepts in Computational Biology

3 Credits
3 lecture hours. 3 lab hours.

This is a one-semester undergraduate level course that has targeted lectures and laboratory exercises covering select topics in computational biology and bio technologies related to analysis of the local and global environment. This course will cover topics including computational techniques for bacterial sequencing analysis, statistical analysis of open-access data sets related to ecosystem health, global climate and agricultural data, and an introduction to data visualization and modeling methods of this data. The laboratory component of this course will highlight essential laboratory skills and methodologies related to performing CRISPR gene editing in bacteria and the impact on human intervention in the ecosystem. All components of this course will emphasize student-driven research proposals and experimental design, as well as the analytical and communication skills essential for advanced-degree medical and graduate programs. This is an interdisciplinary course that includes participation from the departments of Biology, Computer Science, Physics and Mathematics.

Prerequisite(s) BIOL 310 and CHEM 203 and CHEM 203L and PHYS 203 and PHYS 203L completed with grades of “C” or higher
Offered (FALL OR SPRING)