33 courses with the subject ENVE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Overview of environmental engineering practice: water resources, water and waste control, solid waste, air pollution, risk management and environmental health. Population and resource demand forecasting, chemistry and microbiology necessary to solve basic problems is included.
Covers applications of mass balances to describing transport environmental systems, diffusive and dispersive processes, and coupling of transport and kinetic models.
This is an introductory course in environmental biotechnology for upper-level undergraduates and graduate students in engineering. The fundamentals of microbiology and molecular biology important to environmental engineering applications will be emphasized.
Provides an overview of municipal and industrial waste management, including design and economic analysis. Discusses options such as landfilling and incineration from engineering, social, and regulatory perspectives. Reviews physical, chemical, and biological treatment of hazardous waste.
This course covers planning, design, and operation of water and wastewater systems in urban areas. Topics include domestic and firefighting water supply, treatment, storage and distribution; wastewater collection and treatment; stormwater collection, peak flow attenuation and treatment, and protection of source/receiving water aquatic habitat.
Covers processes used for water purification and waste treatment, containment and immobilization of hazardous wastes, and ultimate disposal of residues and hazardous materials.
Covers integration of processes into a complete treatment system. Includes detailed design procedures to control wastes, prevent environmental contamination, and protect drinking water quality.
Reviews physical, chemical, and biological remediation technologies for contaminated sites and groundwater by in-site and ex-site applications.
This course covers empirical methods to understand and model engineering systems. Students will learn to develop evaluate statistical models and use three common statistical software packages, Excel, SPSS, and R.
The course provides grounding in fundamental principles of GIS, and achieves understanding through hands on practical laboratories. Course topics include: spatial reference systems, geographic data theory and structures, structures, spatial analysis tools, functions and algorithms, GIS data sources, compilation and quality, and GIS project design and planning.
Fundamental topics with regard to the formation and control of air pollutants are studied. This course provides strong foundation for engineers who will be involved in the development of engineering solutions for industrial air pollution prevention and design, development or selection of air pollution control devices and systems.
Introduces basic concepts about indoor air quality, indoor air pollutants, including their sources and health effects, transport of pollutants, modeling of pollutant concentration in buildings, and ventilation as well as air cleaning systems.
This course provides undergraduate engineering students with an enhanced skill set to permit them to cooperate more fully in the sustainable design and planning of engineering systems. Students will be introduced to the systems analysis modeling approaches, life cycle assessment (LCA) and material flow analysis (MFA), and will explore research-oriented aspects of the methods and their application in engineering design, decisions, and public policy.
Professional and ethical considerations in environmental engineering practice. Career management and lifelong learning.
Laboratory experiments on common environmental engineering unit processes are performed. Students use data to draw conclusions relevant to design of full-scale systems.
Laboratory experiments on common environmental engineering unit processes are performed. Students use data to draw conclusions relevant to design of full-scale systems.
Introduces the design process. Covers information retrieval, problem definition, proposal writing, patents, and design notebooks. Explores problem areas through presentations by experts from industry, government, and education.
Continues the work started in ENVE 491. Requires written and oral progress reports.
This course is the final sequence in the design project. It requires written and oral final reports, including oral presentations by each design team at a formal Design Conference open to the public and conducted in the style of a professional conference.
This is an introductory course in environmental biotechnology for upper-level undergraduates and graduate students in engineering. The fundamentals of microbiology and molecular biology important to environmental engineering applications will be emphasized.
Analyzes the public health, economic, and political aspects in the operation and design of storage, collection, and disposal of solid waste materials.
The course provides grounding in fundamental principles of GIS, and achieves understanding through hands on practical laboratories. Course topics include: spatial reference systems, geographic data theory and structures, structures, spatial analysis tools, functions and algorithms, GIS data sources, compilation and quality, and GIS project design and planning.
Fundamental topics with regard to the formation and control of air pollutants are studied. This course provides strong foundation for engineers who will be involved in the development of engineering solutions for industrial air pollution prevention and design, development or selection of air pollution control devices and systems.
Industrial Ecology (IE) is an evolving view of industrial operations which seeks to design processes and manufacture products in such a way to minimize and optimize their environmental interactions. IE borrows the analogy from nature that “waste” from one organism is “food” for another. Within the “technosphere”, the organization in which economic processes and activities are conducted by humans, IE uses the evolving tools life cycle assessment (LCA), material flow analysis (MFA), and economic valuation, to explore novel approaches to minimizing waste stocks and flows at both micro and macro levels.
This course provides graduate engineering students with an enhanced skill set to permit them to cooperate more fully in the sustainable design and planning of engineering systems. Students will be introduced to the systems analysis modeling approaches life cycle assessment (LCA) and material flow analysis (MFA), and will explore research-oriented aspects of the methods and their application in engineering design, decisions, and public policy.
Covers chemical and biological kinetics, mass-transfer considerations and hydraulic regimes in water and wastewater treatment, and water quality management. Includes absorption and stripping of gases and volatile organics and applications to aeration and ozonation processes.
Provides a theoretical study of the chemical and physical unit operations of environmental engineering, including sedimentation, coagulation, precipitation, adsorption, oxidation-reduction, ion exchange, disinfection, membrane processes, and filtration.
Provides a systematic study of the microbiological and biochemical processes for the treatment of aqueous and solid wastes, including aerobic and anaerobic processes and composting.
Covers principles of hazardous waste and groundwater treatment and in situ technologies. Presents application of processes, including solvent extraction, steam and air stripping, adsorption, ion exchange, oxidation, dechlorination, stabilization, wet air and supercritical oxidation, incineration, soil washing, and soil vapor extraction.
This course provides an introduction to some of the analytical and numerical methods that are widely used to solve problems in hydrology, including translating physical processes into partial differential equations and solving these problems using both analytical and numerical solution methods.
This course covers mathematical optimization techniques as applied to water resource systems. Example applications include water supply management, irrigation planning and operation, water quality management and ground water management.
Covers quantitative relations between environmental exposures and effects. Includes computer methods for risk analysis and development of environmental guidelines and standards.
This course covers empirical methods to understand and model engineering systems. Students will learn to develop evaluate statistical models and use three common statistical software packages, Excel, SPSS, and R.
Source: Drexel University's catalog, linked per course · table learning_unit · CourseShelf publish 59
