Dr. Poole's instructional style is based in the belief that students learn best in a hands-on setting, working with peers on projects and assignments in which they have a personal investment.
ENSC448 - Stream Restoration Ecology
Stream Restoration Ecology explores the "state of the art" of stream restoration and contrasts restoration frameworks, applications, and techniques against knowledge generated through research in the scientific discipline of Stream Ecology. Through field work, classroom discussions, and readings from the primary literature, students are expected to develop informed, defensible, yet individual opinions about stream restoration, its application, and its relationship to the science of Stream Ecology. Throughout the exploration, participants in the class attempt to understand the breadth of current restoration techniques, the strengths and limitations of various approaches, and the circumstances under which each may be appropriate. (3 credits)
How to Enroll -- Consent of instructor required
How to Enroll -- Consent of instructor required
LRES511 - Environmental Data Management
Environmental Data Management is a course designed to introduce graduate students in the environmental and natural sciences to “data models” – explicit and specific representations of the real-world structures and relationships inherent in data sets. The course will cover the use of well-developed data models as the basis for database design and data management. Students will apply data modeling/management concepts through individual class projects. Each student’s project will yield a well structured database that will facilitate proper management, analysis, and maintenance of either: 1) data collected (or to be collected) during the student’s graduate research program; or 2) another environmental data set of the student’s choosing. (2 credits)