Provides graduate students with a broad sampling of new and cutting-edge research related to environmental conservation to help foster critical thinking and provide a more expansive view of natural resources research. Seminars will be given by departmental faculty and faculty from other departments, both on campus and from other institutions. The seminars will be designed for both students who plan a research career and those who plan a more applied path.

This course provides students with a conceptual and practical understanding of the application of multivariate statistics in ecology and conservation science. Importantly, the conceptual development and organization of multivariate statistical techniques and the applications of these methods are presented strictly from an ecology and conservation science perspective. This course focuses on working with multivariate data (e.g., screening and adjusting multivariate data), evaluating grouped data (e.g., unconstrained and constrained ordination).

This course provides students with a conceptual and practical understanding of the application of multivariate statistics in ecology and conservation science. Importantly, the conceptual development and organization of multivariate statistical techniques and the applications of these methods are presented strictly from an ecology and conservation science perspective. This course focuses on working with multivariate data (e.g., screening and adjusting multivariate data), evaluating grouped data (e.g., unconstrained and constrained ordination).

Not available at this time

Not available at this time

Not available at this time

Selected topics of contemporary interest on microwave systems: advanced radars, active and passive microwave remote sensing instruments, large scale antennas, and microwave integrated circuits. Prerequisites: E&C-Eng 584 and graduate standing.

Description not available at this time.

Online social networks such as Youtube, Facebook, or Twitter have attracted over a half billion users. This course focuses on discussing the challenges and important questions posed by online social applications. The topics include measurement studies of online social networks, analysis of online community, privacy in online social networks, system design for social networks, and recommendation system for social networks.

This course will introduce students to the area of green computing. The course will cover emerging problems associated with the rapid growth of energy consumption in modern computing infrastructures, i.e. data centers, and discuss new research focused on mitigating these problems. The course will also cover ways to leverage computation, networking, and sensing to improve the energy-efficiency of the electric grid, e.g. by automatically regulating energy consumption in buildings, homes, etc.