Modeling Biological Populations
BIOL 422/522: Spring 2014, 2015, 2017; Fall 2017
Population biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavior strategies of individuals, forming an important conceptual framework. This course shows what kinds of insight mathematical techniques can give about biological populations of individuals, communities, and cells, with applications to animal conservation, disease epidemiology and drug treatments.
Linked: Exploring Social and Life Sciences
BIOL 044/COSC 044: Fall 2015
This interdisciplinary course focuses on the emerging science of complex networks and their applications. The material includes the mathematics and computer science of networks, their applications to biology, sociology, business, transportation, and other fields, and their use in the research of real complex man-made and natural systems. Students learn what networks are, characteristics that are used to define different types of networks, and methods for analyzing networks. Students will have the opportunity to apply their knowledge to the analysis of real world networks using an interactive storytelling environment (iPython notebook) that integrates Python programming code execution with text, math, and visual analytics into a single web-based document. This is an ITEL course.
Influenza: Science and Policy
BIOL 421/521: Spring 2012
Influenza, an RNA virus that causes respiratory infections, has been on the forefront of global health discourse over the last decade. This seminar course explores interdisciplinary topics of influenza virology, vaccinology, evolution, epidemiology, and policy through lectures led by experts and discussions by contemporary literature.