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.

The goal of this course is to illustrate the importance of uncertainty analysis in hydrology. Topics include extreme value theory applied to floods & droughts, regionalization methods for predictions in ungauged basins, & trend analysis of historical time series. Students should leave the course with an understanding of how to apply these methods in practice to design civil infrastructure systems that are robust to hydrologic uncertainty. Prerequisite: APMA 3100 and CE 3220 or Equivalent

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

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

Reviews basic stress-strain concepts; constitutive relations. Studies unsymmetrical bending, shear center, and shear flow. Analyzes curved flexural members, beams on elastic foundation, torsion, bending, and twisting of thin walled sections. Taught concurrently w/ AM 6010. Prerequisite: Undergraduate mechanics and mathematics.

Introduces continuum mechanics and mechanics of deformable solids. Vectors and cartesian tensors, stress, strain, deformation, equations of motion, constitutive laws, introduction to elasticity, thermal elasticity, viscoelasticity, plasticity, and fluids. Taught concurrently with APMA 6020, AM 6020, MAE 6020. Prerequisite: Instructor permission.

Free and forced vibration of undamped and damped single-degree-of-freedom systems and undamped multi-degree-of-freedom systems; use of Lagrange's equations, Laplace transform, matrix formulation, and other solution methods; normal mode theory; introduction to vibration of continuous systems. Taught concurrently w/ AM 6230 and MAE 6230. Prerequisite: Instructor permission.