The major biological phenomena and processes used in environmental engineering. Fundamentals of microbiology and biochemistry as applied to wastewater treatment, bioremediation drinking water treatment, and biological air pollution control.

The major biological phenomena and processes used in environmental engineering. Fundamentals of microbiology and biochemistry as applied to wastewater treatment, bioremediation drinking water treatment, and biological air pollution control.

Unified treatment of the analysis of solids. Consideration of continuity, mechanical energy, stress and strain. Application to elasticity, thermoelasticity, and plasticity. Same as M&I-ENGIN 630.

Fundamentals of soil behavior, soil mineralogy and structure, soil stresses, stress-strain-strength behavior of cohesionless and cohesive soils, consolidation behavior of saturated soils, and determination of consolidation and strength parameters in practice. Prerequisite: CE-ENGIN 320.

The application of economic principles to transportation investment and pricing analyses; emphasis on highway and public transportation in urban settings. Prerequisites: ECON 103, CE-ENGIN 310 or equivalents.

Introduction to finite element method in engineering science. Derivation of element equations by physical, variational, and residual methods. Associated computer coding techniques and numerical methods. Applications. Prerequisites: programming ability, ordinary differential equations, basic matrix algebra. Same as M&I-ENGIN 605.

Design of water supply and wastewater collection systems. Topics include water transmission mains, water distribution systems, pumping, storm sewers and sanitary sewer systems. Design projects, oral and written engineering reports. Ethics and professionalism.

This course will introduce concepts related to water sustainability, water resources engineering and applications of statistical and simulation modeling. Topics include water supply planning, water demand, flood risk management and analysis of integrated water resources systems. Linear regression and other modeling techniques will be applied. The primary evaluation events are group design projects and occasional announced and unannounced quizzes.

Technologies are changing the ways that mobility is provided in cities and regions. This graduate course will address theory and empirical evidence related to public transit and multimodal mobility in cities. Topics will include modeling and design of transit networks, modeling and operation of on-demand services (including microtransit, ridesourcing, and vehicle sharing), and city-scale models of traffic in networks with cars and transit.

The application of economic principles to transportation investment and pricing analyses; emphasis on highway and public transportation in urban settings.