Teaching philosophy
I am committed to creating an inclusive learning environment that prepares students for critical thinking, developing analytical skills and solving real-world sustainability challenges. I have taught three courses as a Graduate Student Instructor (GSI) in School for Environment and Sustainability, University of Michigan.
Natural Resource Statistics
This course covers applied introductory statistics. It focuses on when and why different statistical techniques should be used to analyze different datasets, rather than deriving the mathematical underpinnings of these techniques. Through this course, the students are introduced to one of the most common statistical programming languages. Lead Instructor: Dr. Inés Ibáñez
Introduction to R
The course focuses on the basic concepts of R programming language and how to analyze data using R. This class was open to anyone interested in learning the basics of using R. The course covered basic concepts of R, writing a function, importing a dataset, creating summary statistics, and basic data visualization techniques. Lead Instructor: Dr. Brian Weeks
Climate Adaptation Seminar
The seminar focuses on the specifics of climate change adaptation activities taking place internationally and in the USA in different regions and at different scales. Emphasis is given to understanding the different components of climate change adaptation and resilience and how stakeholders at the international, national, state, local, private, and nongovernmental levels are taking action to address existing and projected climate impacts with a focus on equity and justice. Lead Instructor: Dr. Rosina Bierbaum
I am committed to creating an inclusive learning environment that prepares students for critical thinking, developing analytical skills and solving real-world sustainability challenges. I have taught three courses as a Graduate Student Instructor (GSI) in School for Environment and Sustainability, University of Michigan.
Natural Resource Statistics
This course covers applied introductory statistics. It focuses on when and why different statistical techniques should be used to analyze different datasets, rather than deriving the mathematical underpinnings of these techniques. Through this course, the students are introduced to one of the most common statistical programming languages. Lead Instructor: Dr. Inés Ibáñez
Introduction to R
The course focuses on the basic concepts of R programming language and how to analyze data using R. This class was open to anyone interested in learning the basics of using R. The course covered basic concepts of R, writing a function, importing a dataset, creating summary statistics, and basic data visualization techniques. Lead Instructor: Dr. Brian Weeks
Climate Adaptation Seminar
The seminar focuses on the specifics of climate change adaptation activities taking place internationally and in the USA in different regions and at different scales. Emphasis is given to understanding the different components of climate change adaptation and resilience and how stakeholders at the international, national, state, local, private, and nongovernmental levels are taking action to address existing and projected climate impacts with a focus on equity and justice. Lead Instructor: Dr. Rosina Bierbaum
