The course serves as a dynamic sampling of the multiple disciplines necessary to create or modify the Built Environment. Discussions based on lectures presented by various educators, researchers, and practitioners; experts in their fields will provide students with a broadened perspective, which will help foster critical thinking and provide a more expansive view of the Built Environment.

This seminar will discuss recent and emerging topics of how climate change is impacting fish, wildlife and related natural resources. Students will become familiar with the latest literature and scientific approaches on ecological responses to climate change as well as management, conservation and adaptation strategies being implemented to decrease risk and vulnerability to climate and interactive stressors.

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.

Module will cover the basic tools on transforming and working with data. Students will learn different ways to format data and think through workflows. The course will focus on data wrangling methods in the program R, but many of the ideas apply to any programming language. This is a module that is taught over four weeks, where there is one 3 hour class meeting per week. During that class meeting, there will be a combination of lecture and lab, with most of the class time devoted to lab time.

Module will cover how to manipulate and extract data, how to create high-impact visualizations of common data analyses, the best techniques and methods to analyze and visualize data with R programming and creating dashboards and visual analytics. This module is taught over four weeks, where there is one 3 hour class meeting per week. During that class meeting, there will be a combination of lecture and lab, with most of the class time devoted to lab time.

Module will cover how to use data simulations for generalized linear models, generalized linear mixed models, and some state space models (like occupancy models, N-mixture). The course will focus on statistical methods in the program R, and both frequentist and Bayesian methods will be covered to teach students how to develop a deeper understanding of models routinely used in ecology. This is a module taught over 4 weeks, where there is one 3 hr class meeting per week. During that class meeting, there will be a combination of lecture and lab, with most of the class time devoted to lab time.

This course will introduce students to the current best practices regarding developing, transforming, managing and sharing geospatial data. This course focuses on exposing students to state-of-the-art approaches in retrieving/querying, aggregating and processing geospatial data from multiple heterogeneous sources/systems and technologies, such as relational databases (RDBMS), spatially-enabled RDBMS, XML-based spatial data, KML, Web-services/APIs, JSON/GeoJSON, CAD, BIM/IFC, and file-based databases (SQLite and GeoPackage).

"Structures are made from an infinite variety of shapes and materials making their design and analysis potentially very complex. A common first step is through simplification by grouping elements with the same patterns, or carrying similar type of loads, into simple structural elements. In this course, students of Construction and Architecture learn how to use structural idealization to estimate forces and stresses in building elements as a precursor for structural building design. The course employs realistic building examples to introduce students to fundamental engineering analysis.

"Structures are made from an infinite variety of shapes and materials making their design and analysis potentially very complex. A common first step is through simplification by grouping elements with the same patterns, or carrying similar type of loads, into simple structural elements. In this course, students of Construction and Architecture learn how to use structural idealization to estimate forces and stresses in building elements as a precursor for structural building design. The course employs realistic building examples to introduce students to fundamental engineering analysis.

Wood is an amazing building material: It is beautiful and warm to the touch. It is easy to machine and abundantly available. It is light, yet strong and stiff. And best of all: It comes from a renewable source. To build with wood, however, requires understanding its peculiarities: the variability of its properties, its interaction with water and the possibility of biodeterioration. This course introduces graduate students to the physical and mechanical properties of wood as applies to construction and architecture.