Course Description
Applications of mathematics and statistics in biology. Topics
such as gene mapping, inference of evolutionary relationships,
epidemiological modeling, and brain imaging. Students will
conduct mini-projects on each topic. Emphasis on (1) thought
process of converting biological problems into mathematical ones,
and (2) writing computer programs to conduct analyses using real
data.
Athena Title
Intro Quantitative Biology
Prerequisite
STAT 2010 or STAT 2100H or STAT 2360-2360L
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Student Learning Outcomes
- Students will learn about key application areas of mathematical and statistical reasoning in biology, with a strong emphasis on learning the thought process required to translate a biological problem into a mathematical/statistical problem. Students will conduct mini-projects in each area in which they will write computer programs to conduct analyses using real data.
Topical Outline
- This course will delve into various areas of biology in which mathematical and statistical techniques play a central role. Topics will vary between offerings, but may include analysis of DNA sequence data, statistical genetics, inference of evolutionary trees, epidemiological modeling, brain imaging data, and other topics.
