Graduate courses are taught through the Ecology & Evolution Graduate Program, and undergraduate courses through the Department of Ecology, Evolution and Natural Resources (DEENR).
Conservation Ecology 11:216:317 (undergraduate course)
This is a writing- and reading- based course in which students will become familiar with the major environmental challenges of our time, including species extinctions, terrestrial and marine habitat destruction, climate change, invasive species, and the environmental consequences of food and energy systems. Typically 50 pages of reading per week and weekly writing assignments, 3 credits
Advanced Ecology 16:215:601 (graduate course)
Advanced Ecology provides an overview of key sub-fields in ecology, with each class taught by a different faculty member from the EE grad program. Students will gain a broad, graduate-level understanding of important areas of ecology. Students will practice reading the primary scientific literature, articulating comments and questions about key concepts, and writing on scientific topics concisely and effectively. A primary goal of the course is to provide a more standardized basis for qualifying exam preparation. The course will also cover selected topics in scientific ethics and professional development.
Advanced Evolution 16:215:602 (graduate course)
Advanced Evolution provides an overview of key sub-fields in evolution, with each class taught by a different faculty member from the EE grad program. Students will gain a broad, graduate-level understanding of important areas of evolutionary biology. Students will practice reading the primary scientific literature, articulating comments and questions about key concepts, and writing on scientific topics concisely and effectively. A primary goal of the course is to provide a more standardized basis for qualifying exam preparation.
Advanced Ecological Data Analysis 16:215:599 (graduate course)
Data science and statistical analysis in R for researchers. Data cleaning and management, GLM, GLMM, GAM, likelihood, spatial statistics. Topics vary somewhat depending on student interest.
Advanced Ecological Data Analysis Syllabus
Student Letters of Recommendation
Note for all students about requesting letters of recommendation: please send me an email at least 3 weeks before the letter due date with the subject line ‘letter of recommendation due [due date]’. In the body of the email include the email address or web site where I need to submit the letter, the link to the program or grant you are applying for, your CV and/or other important application materials, and a brief explanation of why you want to apply. If you follow these instructions, your letter will be submitted on time and there is no need to contact me with reminders. If you do not follow these instructions, it is unlikely that your letter will be submitted on time.