Semesters Taught: Fall 2017
Class Size: 30
This course provides in-depth knowledge and application of methods and techniques to use data for the monitoring, assessment, and control of civil and environmental engineering (CEE) systems. The course is divided into three main modules: (1) data collection and monitoring, (2) analytics and learning, and (3) prediction and control. Topics include: (1): sampling, control variables, optimal sensor placement, and value of information; (2): data filtering, regression, classification, and machine learning; and (3): prediction algorithms, control methods, human behavior change, and public policy considerations. The course format combines theoretical foundations and hands-on application of concepts.
2015Semesters Taught: Spring 2018, Spring 2016
Class Size: 20
This course presents fundamental concepts of probability theory, risk analysis, and decision theory through their application to civil engineering systems. It introduces students to the many sources of uncertainty that influence engineering decisions, and provides tools and methods to model and analyze these uncertainties in the context of engineering risk assessment. Emphasis is placed on probabilistic modeling and topics covered include: random variables and functions of random variables, probability distributions for risk analysis in civil and environmental engineering problems, Bayesian methods, and risk-informed decision making.
Semesters Taught: Spring 2019, Spring 2017, Spring 2015
Class Size: 15
This course presents a comprehensive and in-depth coverage of modern methods for structural and system reliability assessment. It provides insights and perspectives on the use of probability-based tools and methods for the analysis of the reliability of structures under hazards, and serves to establish a strong starting point for research in the field of structural reliability. Topics include multivariate distribution models; formulation of structural reliability for components and systems; exact solutions; computational reliability methods, including first- and second-order reliability methods, Monte Carlo simulation, and importance sampling; reliability sensitivities; importance measures; and reliability analysis under statistical and model uncertainties.
Semesters Taught: Fall 2018, Fall 2016, Fall 2015, Fall 2014
Level: Upper-division undergraduate
Class size: 70
This course provides fundamental concepts in the planning, design, and construction of civil engineering projects. It provides an introduction to the topics of project delivery, contracts, engineering economics, cost estimation, bidding, risk analysis, scheduling, project controls, and construction law, and presents tools and techniques for the management and control of resources (e.g., time, money) on construction engineering projects.