Methods of detecting and investigating genetic variation, as well as its causes and consequences. Applications from medicine, forensics, and environmental biology are emphasized. Pre/co-requisite: BCOR 101.
Dates: May 20 - June 14, 2019
This courses uses online presentations, analysis of biological data, readings of the primary literature and computer simulations to examine how population genetic data is collected, analyzed, presented, modeled and simulated, used in interdisciplinary applications, and can be used to address societal problems. The course is divided into four modules: (1) Controlling infectious disease using population genetic analysis of insect disease vectors, (2) Dogs: A population genetic perspective, (3) Human genetic population structure: Where we came from and where we are going, (4) Tracking Zika, Ebola and flu virus transmission using population genetics.
Each week of summer session covers a module and includes evaluating population processes using online simulation and modeling tools, and analyzing experimental data through laboratory exercises. Modeling and simulation exercises include using pre-written computer programs to examine processes such as the effect of population size on genetic variation. Laboratory exercises include applying the process of science by analysis, evaluating, explaining and describing of experimental data.
There are three assignments for each module: a simulation exercise, a laboratory data analysis exercise and a discussion forum focusing on scientific papers from the current literature.
Online Course (View Campus Map)