Spatial data provides an extra layer of information that provides an opportunity to gain powerful insights from our data. Analysis of spatial data also poses unique challenges and pitfalls. In this course, students will learn a range of techniques for analyzing data with spatial information, from both a theoretical standpoint as well as implementation of methods in R.

Intermediate statistics illustrated using examples from ecology. Topics include ANOVA, linear regression (simple and multiple), correlation, logistic regression, continency tables and noparametric methods. Techniques discussed in lectures and applied in laboratories.

Intermediate statistics illustrated using examples from ecology. Topics include ANOVA, linear regression (simple and multiple), correlation, logistic regression, continency tables and noparametric methods. Techniques discussed in lectures and applied in laboratories.

Conservation biology emerged roughly 30 years ago as a mission oriented discipline, engaged in scholarly scientific inquiry, addressing the problems of biodiversity loss and environmental degradation. It is an inherently synthetic and interdisciplinary field, founded largely on basic principles from ecology and environmental management, but strongly dependent on the integration of social and natural science approaches. Together, we will examine the state of conservation science today: how the field is changing, new insights from current literature, and competing visions for the future.

Provides graduate students with an opportunity to deepen their studies in Building Information Modeling (BIM), a concept that is at the heart of contemporary digital building planning and execution. This course also provides a thorough introduction into Autodesk Revit and covers applied topics in Trimble SketchUp, both industry-standard software in the AEC field.

This course offers an opportunity to visit local and regional sustainability initiatives. This includes public services, non-governmental organizations, and family businesses spanning multiple dimensions of sustainability. Each field trip has been chosen with the objective of cultivating a deeper understanding of one component of a larger system. Students should have graduate level standing and be enrolled in the MS Sustainability Science program to enroll in this course. This class is entirely field based.

This course introduces concepts related to the management of urbanized landscapes, focusing on what comprises the urban forest, its function as a natural system and the value of urban forests as an environmental and social catalyst. Examination of what makes up the urban forest, how these components function and the importance of sustainable urban natural landscapes will be undertaken.

Not available at this time

Not available at this time

Not available at this time