Newmark Laboratory

Environmental Engineering and Science

Courses

 

The following is the list of courses taught within the Environmental Engineering and Science program. An instructor is listed for those courses that are almost always taught by the same faculty member; none is listed for courses that are team taught or taught on a rotating basis by several faculty members. If the course is described in the University Catalog, the course number here is linked to that description; otherwise, the course is described here. In the University Catalog, those courses that have been scheduled for the next semester are linked to the University Class Schedule (which gives day, time, and room information).

 

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CEE 330 Environmental Engineering. (Finneran).

CEE 430 Ecological Quality Engineering. Fall (Herricks).

CEE 431 Biomonitoring. Spring (even years) (Herricks).

CEE 432 Stream Ecology. Spring (odd years) (Herricks).

CEE434 Environmental Systems, I. Fall (Eheart).

CEE 437 Water Quality Engineering. Fall and Spring (Strathmann).

CEE 440 Solid and Hazardous Waste. Spring (Werth).

CEE 442 Env Eng Principles, Physical. Fall (Clark).

CEE 443 Env Eng Principles, Chemical. Fall. (Strathmann)

CEE 444 Env Eng Principles, Biological. Spring (Zilles).

CEE 445 Air Quality Modeling. Spring (Bond).

CEE 446 Air Quality Engineering. Fall (Rood).

CEE 447 Atmospheric Chemistry. Fall (D. Wuebbles, Department of Atmospheric Sciences).

CEE 449 Environmental Engineering Lab. Spring (Mariñas).

CEE 457 Groundwater. Fall (Valocchi).

CEE 498 BSM Environmental Risk Assessment and Management

Risk assessment and management are becoming increasingly important in the environmental industry. In this course, risk assessment methods are introduced and issues associated with managing risk are discussed. The course is taught in a case study format, focusing on a variety of environmental case studies such as air pollution, climate change, drinking water, hazardous waste storage, transport and disposal, and Superfund remediation. A group term project on assessing and managing risk associated with an environmental case study is required. Prerequisite: CEE 202; or STAT 100. 3 hours. (Minsker)

CEE 498 EM Mathematical Modeling of Microbiological Processes in Environmental Engineering

Introductory modeling course for students interested in developing and using mathematical models for microbiological processes; during the course students will build their own mathematical models; basic tools of model selection, experimental design, data screening, parameter estimation, and uncertainty analysis are presented; different reactor configurations with bacteria growing in suspended culture or in biofilms will be considered: no special mathematical background required. 3 hours. (Morgenroth)

CEE 534 Surface Water Quality Modeling. Alternate springs (Eheart).

CEE 535 Environmental Systems, II. Spring. (Minsker)

CEE 537 Water Quality Control Proc, I. Fall.

CEE 538 Water Quality Control Proc, II. Spring (Morgenroth).

CEE 540 Remediation Design.  Fall (Werth). 

CEE 545 Aerosol Sampling and Analysis. Fall (Bond).

CEE 546 Air Quality Control. Spring (Rood).

CEE 557 Ground Water Modeling. Spring (Valocchi).

CEE 598 EC Environmental Organic Chemistry

Course examines the fundamental molecular processes that govern the transformation and fate of organic contaminants in natural environments and engineered treatment systems. Students will learn to use thermodynamic principles in combination with the molecular property descriptors to predict organic compound transfer between environmental phases (e.g., air, water, biota), sorption to solid surfaces (e.g., soils, sediments, aerosol particles), and transformation by chemical and biochemical reaction pathways (e.g., oxidation, reduction, hydrolysis, photolysis). Prerequisites: CEE 443 or NRES 490. An introductory course in organic chemistry is also recommended, but not required. Spring (odd-numbered years only). (Strathmann). 4 hours.

CEE 598 OS Optimization Methods for Engineering Design

Optimization models have been shown to be useful tools for aiding engineering design in many fields. This course will focus on methods for applying nonlinear optimization to engineering design, with a practical, applications-oriented perspective. Topics of discussion will include: strengths and weaknesses of different approaches; handling constraints and multiple objectives; setting optimization control parameters; and strategies for overcoming computational barriers, including multiscale, domain decomposition, parallel, and hybrid approaches. The course is intended to serve students from all areas of engineering and does not assume prior knowledge in any particular application area. Students will complete a project applying one of the methods to a problem in their own field. Prerequisites: CEE 434, IE 411, IE 412, or another 400-level or higher optimization or control course. Spring (even-numbered years only). (Minsker). 4 hours.

CEE 598 SE Biology of Stressed Ecosystems

Reviews the effects of stress on organisms, communities, and ecosystems. Particular emphasis on applying ecological theory to the interpretation of the effects of contaminants and hazardous substances on the environment. Analysis of the differential response of stress at various levels of ecological organization and of the recovery and restoration of damaged systems. Prerequisite: CEE 432. Spring (Herricks). 3 hours.

CEE 598 SGW Stochastic Analysis of Groundwater Flow and Transport

Gives a systematic presentation of stochastic analysis in groundwater hydrology. Topics include: review of available field data and random field models of aquifer properties; review of important concepts from probability and statistics; elementary geostatistical methods; generation of random fields on the computer; techniques for solving stochastic partial differential equations; effective (i.e., mean) flow and transport parameters, field-scale dispersion; analysis of uncertainty. Prerequisite: CEE 457. Spring. (Valocchi). 4 hours.

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