This course covers the basic principles of aquatic chemistry as applied to problems in natural and engineered waters. Four specific reaction types will be covered including 1) acid-base, 2) precipitation-dissolution, 3) complexation, and 4) oxidation-reduction. Problem solving skills will be developed using graphical and analytical techniques. Students will also develop computer simulation skills. Taught concurrently with CE 4100

Stresses the quantitative description and the physical basis of hydrology. Both deterministic and stochastic methodology are applied to the analysis of the hydrologic cycle, namely, precipitation, evaporation, overland flow and stream flow, infiltration, and groundwater flow. The use of compute simulation models, especially microcomputer based models, is emphasized. Prerequisite: Instructor permission.

The course emphasizes the formulation of environmental management issues as optimization problems. Simulation models will be presented and then combined with optimization algorithms. Environmental systems to be addressed may include stream quality, air quality, water supply, groundwater remediation, and reservoir operations. Optimization techniques presented include linear programming, dynamic programming, and genetic algorithms.

We will explore terminology and concepts for characterizing and mathematically modeling human impacts on microbial systems and vice versa. Special consideration will be given to microbe-mediated cycling of organic materials (i.e., pollutants) in natural and engineered systems, including: conventional water and wastewater treatment, municipal landfills, pristine and contaminated groundwater and surface waters, etc.

This course introduces the field of hydroinformatics. Hydroinformatics is an interdisciplinary field concerned with methods, software, and hardware tools for understanding and sustainability managing water resource systems. The course covers core concepts and methods in hydroinformatics including data collection, management, analysis, visualization, and modeling.

Study of the dynamic behavior of such structures as beams, rigid frames, floors, bridges, and multi-story buildings under the action of various disturbing forces such as wind, blasts, earthquakes, vehicles, machinery, etc.; dynamic modeling of single, multidegree of freedom, and continuous systems; damping; numerical integration; Prerequisite: Concrete and metal structure design.

The surface transportation system is transforming into a cyber-physical system, with the wide-scale use of sensors and communications in infrastructure management, integration of wireless device apps for improved traveler situational awareness, and introduction of connected and automated vehicles. This course explores the resulting "intelligent transportation system" through readings, case studies, projects, and discussion forums.

Economic theory and applications enhance transport demand analysis, transport pricing, welfare considerations and policy evaluation. This course illustrates the fundamentals of transport economics (costs, benefits and pricing), describes key factors that affect these (movement and location choice), and introduces different methods of economic analysis for quantifying the trends in and interactions across these topics. Pre/Co-requisite: CE 6410

This course introduces the various methods of data acquisition and analysis in transportation. By the end of this course, students should be able to 1) characterize data sets and modeling methods in existing transportation research; 2) design, develop, implement, and evaluate surveys of stated & revealed travel behaviors; and 3) identify & apply appropriate analytical tools for a variety of transport data types.

Detailed study of special topics in civil engineering. Master's-level graduate students. Prerequisites: to be listed for each section as needed