The most essential computing skills for modern biologists, such as MySQL, R, and AWK, as well as how to access and use High Performance Computer clusters and construct reusable data analysis workflows in RCC and the Galaxy system. Emphasis will be on hands-on work on computer work and problem solving.

The essential elements of biology necessary for a scientist with a background in the quantitative sciences to begin working in the biological sciences. Core biological concepts will be presented with the goal of getting computer scientists, physicists, and mathematicians started in understanding biology and finding productive areas of research inquiry.

Survey of the wealth of information arising from genomic research conducted on diverse species across the tree of life. Students will explore the evolutionary diversification of genomes in phylogenetically remote organisms and refine critical thinking and technical writing skills through analysis of publications drawn from the recent literature.

Designed for students to learn how modern problems in medicine, agriculture, and biology are solved using big data “omics.” Topics include comparative gene and genome sequence analyses, transcriptomics, metabolomics, phylogenomics, and application of these approaches in medical, agricultural, and environmental sciences. No prior computational experience required.

Introduces computational techniques to explore plant biology for students that are new to programming or do not regularly program. In doing so, the course introduces basic techniques that allow the simulation of plant growth from the cellular to the organismal level and the imaging analysis of plant morphology.

Introduces computational techniques to explore plant biology for students that are new to programming or do not regularly program. In doing so, the course introduces basic techniques that allow the simulation of plant growth from the cellular to the organismal level and the imaging analysis of plant morphology.

Mathematical models in the biological sciences, systems, phase-plane analysis, diffusion, convective transport, bifurcation analysis. Possible applications will include population models, infectious disease and epidemic models, acquired immunity and drug distribution, tumor growth, and analysis of arterial flow dynamics.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data. Students will write or produce a thesis or other professional capstone product, such as a report or portfolio that describes their systematic and in-depth inquiry.

One-week intensive introductory programming course for students with biological background. The course provides the students with hands-on programming experience in analysis of biological data.