Global Arc

An introduction to the science of water quality management and pollution control in natural systems; fundamentals of biological and chemical transformations in natural waters; identification of sources of pollution; water and wastewater treatment methods; fundamentals of water quality modeling. Two lectures, field trips. Open to juniors and seniors, and graduate students only. Prerequisites: Student should have some background in chemistry and an interest in water pollution problems.

The structure and evolution of precipitation systems are examined, including the dynamical and microphysical processes that control the spatial and temporal distribution of precipitation. The fundamentals of remote sensing of aerosols, clouds and precipitation are introduced. Related topics in hydrology and hydraulics are covered. Two lectures. Not Open to First Year Undergraduates.

This course examines how cities modify their environment, with a focus on the grand urban challenges of the 21st century related to climate, water, and pollution. It starts with an introduction to the challenge of urbanization and how the population and size of cities can be quantified and modeled. We then examine heat, air and water flow in cities, focusing on how they induce urban heat islands, exacerbate floods, modify power consumption, and reduce thermal comfort. We conclude the course with an examination of how buildings and cities can be designed to be more sustainable and sensitive to their climate. Not open to freshmen. Two lectures.

This course is a mixture of lectures, readings, and individual student work focused on urban challenges in the 21st century, particularly the ones related to energy, water and climate. The first lecture of the week will be dedicated to the discussion of a paper, while the second lecture will introduce the students to mathematical and physical laws and concepts that will be needed for the upcoming paper to be read and discussed. Two students will present and lead the discussion of each paper. Then, each student will perform a final project consisting of a literature review and a research component to advance their independent work skills.

This course will focus on the sustainable design of urban water infrastructure. Students will learn the principals of biological wastewater modelling and use software packages and other design tools for design and upgrading existing water/wastewater treatment systems, including new processes that incorporate energy and resource recovery. The projects are considered from concept development to detailed design with special considerations on sustainability and resilience. Prerequisite: CEE 207 and CEE471 or equivalent with instructor's permission. Open to Seniors and Graduate students only.

A formal report on research involving analysis, synthesis, and design, directed toward improved understanding and resolution of a significant problem in civil and environmental engineering. The research is conducted under the supervision of a faculty member, and the thesis is defended by the student at a public examination before a faculty committee. The senior thesis is equivalent to a year-long study and is recorded as a double course in the spring.

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The course is focused at the undergraduate level towards the understanding of the systems that control the circulation of water between atmosphere, soil, and plants. The course will address the dynamics of soil moisture and its relationship with the ecosystem structure. It will also study the impact of environmental conditions on natural ecosystems, plant strategies in water use, and hydrologic controls on nutrient cycles.Prerequisites:A first course in Probability and Statistics at the undergraduate level and an elementary course in Differential Equations at the undergraduate level.

Mathematical Modeling of Energy and Environmental Systems. Development and application of mathematical models for energy systems, their performance, and their environmental and economic impacts. Scenario modeling for energy transitions. Methods for sensitivity and uncertainty analysis and uncertainty management and reduction for energy and environmental projections.