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Brunner Lab Teaching

General Ecology (Biology 372)

A general overview of the relationship of organisms with the physical and biotic components of their environment at the population, community, and ecosystem level. I teach the course every fall semester. The class Piazza page can be found here.


Herpetology (Biology 432)

An overview of the evolution, ecology, physiology, and other cool aspects of the biology of amphibians and reptiles. This class is taught every other spring semester, in even years.


Quantitative Methods & Statistics in Ecology (Biology 572)

As ecologists we’re used to the messy realities of nature. We think carefully about how to approach a problem, spend inordinate amounts of time researching methods and equipment, and then, when everything breaks, find creative work-arounds to make our experiments work somehow. Yet when it comes to analyzing our messy, complex data we seem to look for the quick way out—canned statistical packages that we don’t understand, tortured transformations to shoe-horn our data into a form that we can plug into a statistic we already know, or worst of all, ignoring lots of data because we don’t know what to do with it. Well not any more!

This graduate class on fitting models to data is all about providing you the perspective and tools to help you answer your interesting ecological questions. We may not know everything there is to know, but we’ll know enough to be dangerous! It is taught every other spring semester, in odd years. The class wiki can be found here.



Design of ranavirus surveillance studies and data analyses (3rd International Symposium on Ranaviruses, Gainesville, FL.)

In this workshop taught with Matt Gray, students learned how to effectively design and analyze  surveillance studies. Topics included linking study objectives to data collection, prevalence versus incidence, infection versus disease, sample size determination, and data analysis. The presentations and slides can be found here.


Surviving Survival Analyses (SICB 2012)

A brief introduction to survival analyses including Kaplan-Meier survival curves, Log-rank tests, Cox proportional hazards, and Parametric survival models, with code in R. The handouts and slides are in this zip file.