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  • CE 270: Environmental and Engineering Geophysics

    3.00 Credits
    Duke University

    Use of geophysical methods for solving engineering and environmental problems. Theoretical frameworks, techniques, and relevant case histories as applied to engineering and environmental problems (including groundwater evaluation and protection, siting of landfills, chemical waste disposals, roads assessments, foundations investigations for structures, liquefaction and earthquake risk assessment). Introduction to theory of elasticity and wave propagation in elastic and poroelastic media, electrical and electromagnetic methods, and ground penetrating radar technology. Prerequisite: Mathematics 108 or Physics 52L or consent of instructor. Instructor: Boadu
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  • CE 271: Inverse Problems in Geosciences and Engineering

    3.00 Credits
    Duke University

    Basic concepts, theory, methods of solution, and application of inverse problems in engineering, groundwater modeling, and applied geophysics. Deterministic and statistical frameworks for solving inverse problems. Strategies for solving linear and nonlinear inverse problems. Bayesian approach to nonlinear inverse problems. Emphasis on the ill-posed problem of inverse solutions. Data collection strategies in relation to solution of inverse problems. Model structure identification and parameter estimation procedures. Prerequisite: Mathematics 108 or consent of instructor. Instructor: Boadu
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  • CE 272: Wave Propagation in Elastic and Poroelastic Media

    3.00 Credits
    Duke University

    Basic theory, methods of solution, and applications involving wave propagation in elastic and poroelastic media. Analytical and numerical solution of corresponding equations of motion. Linear elasticity and viscoelasticity as applied to porous media. Effective medium, soil/rock materials as composite materials. Gassmann's equations and Biot's theory for poroelastic media. Stiffness and damping characteristics of poroelastic materials. Review of engineering applications that include NDT, geotechnical and geophysical case histories. Prerequisite: Mathematics 108 or consent of instructor. Instructor: Boadu
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  • CE 273: Introduction to the Physical Principles of Remote Sensing of the Environment

    3.00 Credits
    Duke University

    The course provides an overview of the radiative transfer principles used in remote-sensing across the electromagnetic spectrum using both passive and active sensors. Special focus is placed on the process that leads from theory to the development of retrieval algorithms for satellite-based sensors, including post-processing of raw observations and uncertainty analysis. Students carry on three hands-on projects (Visible and Thermal Infrared, Active Microwave, and Passive Microwave). Background in at least one of the following disciplines is desirable: radiation transfer, signal processing, and environmental physics (Hydrology, Geology, Geophysics, Plant Biophysics, Soil Physics). Instructor consent required. Instructor: Barros
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  • CE 279: Introduction to Atmospheric Chemistry

    3.00 Credits
    Duke University

    A broad overview of the science of oxidant chemistry in the atmosphere. Basic physical and chemical concepts relevant to the understanding of atmospheric chemistry; several contemporary topics discussed from a process-level perspective. Topics include atmospheric structure and chemical composition; atomic structure and chemical bonds; chemical thermodynamics and kinetics; atmospheric radiation and photochemistry, tropospheric and stratospheric ozone chemistry; aqueous-phase atmospheric chemistry; atmospheric aerosols; and air quality modeling. Prerequisites: one college-level course each in chemistry and calculus. Instructor: Kasibhatla
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  • CE 281: Experimental Systems

    3.00 Credits
    Duke University

    Formulation of experiments; Pi theorem and principles of similitude; data acquisition systems; static and dynamic measurement of displacement, force, and strain; interfacing experiments with digital computers for data storage, analysis, and plotting. Students select, design, perform, and interpret laboratory-scale experiments involving structures and basic material behavior. Prerequisite: senior or graduate standing in engineering or the physical sciences. Instructor: Gavin
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  • CE 283: Structural Dynamics

    3.00 Credits
    Duke University

    Formulation of dynamic models for discrete and continuous structures; normal mode analysis, deterministic and stochastic responses to shocks and environmental loading (earthquakes, winds, and waves); introduction to nonlinear dynamic systems, analysis and stability of structural components (beams and cables and large systems such as offshore towers, moored ships, and floating platforms). Instructor: Gavin
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  • CE 285: Linear System Theory

    3.00 Credits
    Duke University

    Construction of continuous and discrete-time state space models for engineering systems, and linearization of nonlinear models. Applications of linear operator theory to system analysis. Dynamics of continuous and discrete-time linear state space systems, including time-varying systems. Lyapunov stability theory. Realization theory, including notion of controllability and observability, canonical forms, minimal realizations, and balanced realizations. Design of linear feedback controllers and dynamic observers, featuring both pole placement and linear quadratic techniques. Introduction to stochastic control and filtering. Prerequisites: EE141 or ME 125 or consent of instructor. Instructor Scruggs
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  • CE 286: Stochastic Systems

    3.00 Credits
    Duke University

    Analysis of continuous and discrete-time stochastic processes, with emphasis on application to mechanics. Time-and frequency-domain analysis of stationary linear stochastic systems. Optimal filtering and control of stochastic systems. Continuous-time Poisson counters and Wiener processes. Introduction to stochastic (Ito) calculus. Continuous-time nonlinear and nonstationary stochastic processes, and the Fokker-Plank equations. Failure analysis and first-passage reliability analysis for continuous-time dynamic systems. Introduction to approximate analysis of nonlinear stochastic systems. Prerequisites: STAT 113 and CE 285 Instructor: Scruggs
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  • CE 292: Structural Engineering Project Management

    3.00 Credits
    Duke University

    Apply project management tools and skills to a structural engineering design project. Implement changes in schedule, budget, and changing client and/or regulatory climate. Work with a design team of undergraduate students. Prerequisites: not open to students who have had CE 192, CE 193, or CE 293. Consent of instructor required. Instructor: Nadeau
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