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 answeryour 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.