Analysis, behavior, and design of precast prestressed concrete structural elements and buildings. Topics include introduction to prestressed concrete, design of precast prestressed elements for moment, shear, torsion, and moment and axial force. The course will focus on behavior and design of elements in typical precast buildings including prestressed double tee beams, precast columns, precast spandrel beams, inverted tee beams, precast walls.

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.

Geotechnical analysis and design related to shallow and deep foundations. Topics include: site investigations, bearing capacity theory, analysis and design of shallow spread footings, isolated pads and mat foundations; total stress and effective stress design of drilled shaft and driven pile foundations. Emphasis on the presentation of designs in a formal geotechnical report. Pre Req: CE-ENGIN 620

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.

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. Prerequisites: ECON 103, CE-ENGIN 310 or equivalents.

Not available at this time

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.

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.