Hydrologic Data Analysis
I am currently the teaching assistant for Hydrologic Data Analysis, a masters level course in the Nicholas School of the Environment. Approximately 20 students are enrolled, and the group is a mix of undergraduate, professional, and PhD students. This course is designed to teach hydrologic concepts through inquiry based learning. Students work through exercises working with data during each class section to practice different analytic techniques, and all work is done in R. The objectives of the course is for students to 1) synthesize information on fundamental and applied topics in water resources using quantitative analysis, 2) apply and appropriate steps of the data analytics pipeline to answer questions about aquatic systems, and 3) develop oral, visual, and written skills for communicating findings and connecting topics to societal issues. More information on the course can be found here.
I developed the lessons and assignments for the week-long units on water quality in rivers and high-frequency data, and led the course for these class sessions. A sample lesson that we worked through in class can be found here.
As part of the Certificate in College Teaching program, I was observed during two of the lectures I taught. The evaluations are made available here:
I developed the lessons and assignments for the week-long units on water quality in rivers and high-frequency data, and led the course for these class sessions. A sample lesson that we worked through in class can be found here.
As part of the Certificate in College Teaching program, I was observed during two of the lectures I taught. The evaluations are made available here:
| teachingevaluations_chamberlin.pdf |
