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Management of global forest resources; distribution and trends in forest cover; role of forests in economic development; international production and trade of forest products; current policy issues, including tropical deforestation, certification, and carbon sequestration; social forestry and non-timber forest products; international institutions and aid for conservation and development; identification and evaluation of sources of current information on global forestry issues.

GEP Global Knowledge, GEP Interdisciplinary Perspectives

Typically offered in Spring only

The course will focus on the importance of ethical decision-making in the education and instruction of engineering students. Additionally, it will provide a platform to facilitate the examination and interpretation of complex issues from the perspective of ethical leadership as it relates to the various engineering disciplines.

R: Senior standing or permission of the instructor

GEP Interdisciplinary Perspectives

Typically offered in Fall, Spring, and Summer

As climate and land use changes intensify, they contribute to more frequent and severe climate-driven hazards, making the understanding and application of these tools critical for addressing environmental challenges. Through this course, students will become familiar with the main types of geospatial data (vector, raster, point cloud data). Through hands-on data lectures, students will learn geospatial analytics techniques needed to answer practical questions that interrogate geospatial data to answer questions pertaining to environmental change. Students will become familiar with standard libraries in Python for manipulating vector, raster, and point cloud data and interactions with data APIs.

Prerequisite: ³Ò±õ³§Ìý280 or ³Ò±õ³§Ìý411 or permission of instructor; Restriction: Undergraduates only

Typically offered in Fall only

As climate and land use changes intensify, they contribute to more frequent and severe climate-driven hazards, making the understanding and application of these tools critical for addressing environmental challenges. Through this course, students will become familiar with the main types of geospatial data (vector, raster, point cloud data). Through hands-on data lectures, students will learn geospatial analytics techniques needed to answer practical questions that interrogate geospatial data to answer questions pertaining to environmental change. Students will become familiar with standard libraries in Python for manipulating vector, raster, and point cloud data and interactions with data APIs.

Prerequisite: ³Ò±õ³§Ìý280 or ³Ò±õ³§Ìý411 or permission of instructor; Restriction: Undergraduates only

Typically offered in Fall only