This course it introduces the theory and applications of core concepts in machine learning from an engineering perspective. Key topics include: fundamentals of data analysis and regression, classification (support vector machines, decision trees), linear model selection and assessment, flexible functional forms, decision trees and ensemble methods, support vector machines, unsupervised learning (dimensionality reduction, clustering) and neural networks for structured data, images and sequences.

Access to and the provision of safe drinking water is essential for human life, yet provision of such services is challenging, even within the USA. In this course, we examine the physical, technical, political, economic, and social factors that affect the provision of water in rural and disadvantaged communities. Interdisciplinary teams of students will work together over the semester to study, visit, and make recommendations as to how to address problems from a specific real-world nearby public water system.

Introduction to municipal solid waste management and hazardous waste management. The relationship between the properties of wastes, the techniques and hardware used for waste handling and processing and the ultimate disposal (containment) of waste and other residual materials will be emphasized. Remediation of contaminated areas is also covered. The design of systems for the management and disposal of solid and hazardous wastes subject to economic factors, safety, reliability and ethical and social implications will be examined.

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.

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.

A quantitative account of elements of the hydrologic cycle, including precipitation, evapotranspiration, snowmelt, infiltration, and surface runoff. Basic laws from such various disciplines as physics, chemistry, meteorology, astronomy, fluid mechanics, and thermodynamics, combined into simple mathematical descriptions used in the hydrologic design process.

Discussion of basic concepts in the analysis and design of bridges using current American Association of Highway Transportation Officials (AASHTO) specifications. Presentation of common types of bridges, types of bridge loads, load distribution, design of bridge structural components. Techniques for bridge inspection and load rating. Prerequisite: CE-ENGIN 433 and 434 must be taken prior to or concurrently with this class.

Behavior of structures and structural components exposed to time dependent loadings. Vibrations of systems; descriptions of dynamic systems. Prerequisites: CE-ENGIN 331, MATH 331.

Seismic considerations for the design of civil engineering systems. Topics include geology of earthquakes, strong motion records, ground motion, site amplification, response spectra, seismic hazard, seismic design.