This course introduces students to applications of probability theory, statistics, and decision analysis to engineering problems. Emphasis is placed on probabilistic modeling and analysis of civil and environmental engineering problems, Bayesian statistics, risk analysis, and decision under uncertainty.

An overview of sustainable transportation planning practices and management strategies and policies; current transportation trends; environmental and energy policies; non-motorized modes (mainly bicycles and pedestrians); public transportation; life-cycle assessment for transportation infrastructure; alternative fuel vehicles; vehicle emission estimation models; demand management strategies (including parking policies, pricing strategies).

Fundamentals of traffic flow including its characteristics and their relationships; Mathematical models that describe traffic flow dynamics at multiple levels of detail; Solutions and applications of these models that capture traffic flow phenomena such as congestion and queue dissipation.

This course provides a comprehensive insight into the analysis and design of flexible and rigid pavements, with a keen emphasis on sustainable practices. Students will explore significant design factors, engage in various analytical methods, and determine essential design input parameters. The course introduces the empirical-mechanistic pavement design approach and promotes design in adherence to the AASHTO and MEPDG guidelines. A strong focus is placed on integrating the pillars of sustainability (economic, environmental, and social) into pavement design.

Not available at this time

Evaluation and control of water quality in streams, lakes, and estuaries. Mathematical analyses of patterns of water movement and their relation to water quality. Total Maximum Daily Load (TMDL) allocation design.

This course will introduce theory and methods for assessing and managing the risks posed by climate change for engineering design. The course content will cover quantitative analysis methods for developing climate scenarios, including stochastic simulation and hydrologic modeling and decision analysis methods for selecting among adaptation options under climate change uncertainty. While the content is fundamental in nature, the methods will be illustrated and implemented primarily for example water resources systems drawing from practice.

Expands on the basic design methods of CE-ENGIN 434. Includes plate girder design, composite steel and concrete member design, overall structure considerations, and other topics both extending on previous class descriptions as well as entirely new concepts. Prerequisite: CE-ENGIN 434.

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

This course introduces students to applications of probability theory, statistics, and decision analysis to engineering problems. Emphasis is placed on probabilistic modeling and analysis of civil and environmental engineering problems, Bayesian statistics, risk analysis, and decision under uncertainty.