With lab. Fundamentals of physical and chemical processes used in environmental engineering. Applications include processes used in the treatment of drinking waters, industrial waters and wastewaters, municipal wastewaters, and hazardous waste remediation.

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.

Stress-strain analysis and the application to fracture and deformation in rocks. applications in the design of underground openings, rock slopes, and foundations on weak or fractured rocks.

This course covers core concepts in machine learning (models and algorithms) from a probabilistic perspective. It is structured into five modules: foundations, linear methods, deep neural networks, nonparametric methods and unsupervised learning. Applications to various subdisciplines of engineering will be highlighted, especially in transportation, environmental, structural and industrial engineering. Hands-on programming in Python/R throughout the course will enable students to implement models on real-world datasets.

This course covers advanced topics in traffic safety including both motorized and nonmotorized modes with an emphasis on the science of safety. The course is divided into modules. Specific components include safety management systems, human factors, data needs and limitations, identification of hazardous locations, diagnosis of problems, development of countermeasures, road safety audits/reviews, and crash reconstruction. As applicable safety modeling using the Interactive Highway Safety Design Modules and other modeling platforms will be incorporated.

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.

Not available at this time

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, review papers and occasional announced and unannounced quizzes.