ESPM 157 Data Science in Global Change Ecology

Many of the greatest challenges we face today come from understanding and interacting with the natural world: from global climate change to the sudden collapse of fisheries and forests, from the spread of disease and invasive species to the unknown wealth of medical, cultural, and technological value we derive from nature. Advances in satellites and micro-sensors, computation, informatics and the Internet have made available unprecedented amounts of data about the natural world, and with it, new challenges of sifting, processing and synthesizing large and diverse sources of information. In this course, students will learn and apply fundamental computing, statistics and modeling concepts to a series of real-world ecological and environment

MW 12:00 PM 1:59 PM +lab

Applicants: in your personal statement please include answers to the following questions:

1.  Why are you interested in teaching this course?

2.  What qualifications do you have for this course?

3.  How does teaching this course fit in with your educational plan for your graduate work?

4.  What else do you want us to know?