ENVS 160: Ecosystems and Biodiversity
This course is designed for students considering majoring in environmental science or related fields. As such, this course will survey topics in the environmental sciences in order to provide a common foundation for students coming from diverse academic backgrounds. In order to prepare students for upper-level science courses, this class includes quantitative problem solving, an introduction to coding in R and reading primary scientific literature. Major topics to be covered include complex systems, populations, ecosystem dynamics, biodiversity and food system sustainability.
Code for course R Tutorials and Shiny applications here
Code for course R Tutorials and Shiny applications here
ENVS 450/650: Environmental Data Analysis and Visualization
This course covers the non-statistical aspects of the data life cycle, including how to store, clean, visualize and communicate data. It is intended as a complement to statistics courses - we will cover how to get your data into shape for analysis, and how to communicate your findings visually. It is primarily a methods class, centered on a student-led, semester long project. The course will be taught in R but there is no expectation that students know R prior to taking this course.
Course materials
Course materials
Teaching Resources
- Illustrations for teaching R
- Loopy systems diagramming tool
- Native lands interactive map
- Virtual biomes
- Sustainable Agriculture: Aquaculture Scenarios
The table below contains a list of episodes of environmentally-themed podcast episodes that could be useful in teaching (also available on the In Common website) . You can add episodes to this table with the button below. If you do, please be sure to specify how the podcast might be used in a course.
This page is a collaboration between Jessica Gephart and Michael Cox.
This page is a collaboration between Jessica Gephart and Michael Cox.