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  • CSI 853: Atmospheric Transport and Dispersion

    3.00 Credits
    George Mason University

    Credits: 3 Develops basic concepts, theories, and models describing pollutant dispersal in atmosphere. Discusses related atmospheric systems affecting transport, transformation, and removal of air pollutants, with strong emphasis on fundamental issues associated with hazard prediction. Content essential for students engaging in graduate research in atmospheric transport and dispersion modeling. Prerequisites CLIM 710 or 711 or equivalent, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 854: Hyperspectral Imaging Applications

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with EOS 840 Includes advanced hyperspectral concepts, multisystems tradeoffs, data collection and processing systems, imaging radar systems, laser systems, data fusion, calibration and data compression techniques, remote sensing and U.S. national policy. Applications include environmental, homeland security, medical, military, disaster mitigation, agricultural, and transportation topics. Prerequisites EOS 754 or permission of instructor. Prerequisites/Corequisites CSI 753 or equivalent or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 873: Computational Learning and Discovery

    3.00 Credits
    George Mason University

    Credits: 3 Presents modern ideas, theories, and methods for computational learning and discovery, along with relevant applications including medical diagnosis, Earth science data analysis, and neuronal modeling. Includes background elucidation of fundamental concepts in computational learning, addressing discovery of equations, theory of causality, and comparison with biological and cognitive models. Students make presentations on topics of their research interest, and work on projects involving state-of-the art systems. Prerequisites CS 580 or equivalent, or permission of instructor. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
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  • CSI 876: Measure and Linear Spaces

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with IT 876/STAT 876 Covers measure theory and integration, convergence theorems, and the theory of linear spaces and functional analysis, including normed linear spaces, inner product spaces, Banach and Hilbert spaces, Sobelev spaces, and reproducing kernels. Topics include wavelets, applications to stochastic processes, and nonparametric functional inference. Prerequisites IT 776 or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 877: Geometric Methods in Statistics

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with IT 877/STAT 877 Develops foundations of geometric methods for statistics. Topics include n-dimension Euclidian geometry; projective geometry; differential geometry, including curves, surfaces, and n-dimensional differentiable manifolds; and computational geometry, including computation of convex hulls, tessellations of two-, three-, and n-dimensional spaces, and finite element grid generation. Examples include applications to scientific visualization. Prerequisites STAT 751 or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 885: Atomistic Modeling of Materials

    3.00 Credits
    George Mason University

    Credits: 3 Advanced course focusing on utilization of atomistic modeling and computer simulation techniques to analyze structure of crystalline materials. Introduces modern methodology of largescale atomistic simulations, and provides hands-on experience through numerous examples and homework assignments based on simulation package SOLD (Simulator of Lattice Defects). Provides background knowledge on theory of lattice defects (point defects, interfaces, dislocations) and thermal and mechanical properties of solid materials (plastic deformation, fracture). Prerequisites CSI 685, 700, and 786; or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 888: Topics in Quantum Systems

    3.00 Credits
    George Mason University

    Credits: 3 Selected topics in quantum systems in physics and chemistry not covered in fixed-content courses in quantum mechanics. Possible topics are new spectroscopic methods, density functional theory, energy transfer and fluorescence, nuclear magnetic resonance, Mossbauer spectroscopy, advanced computational considerations in atomic or molecular structure, nuclear scattering theory, quantum considerations in condensed matter problems, and quantum gravity. Prerequisites PHYS 736/CSI 783 or PHYS 732/CSI 784; or permission of instructor. Notes May be repeated for credit as needed. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 898: Research Colloquium in Computational Sciences and Informatics

    1.00 Credits
    George Mason University

    Credits: 1 Presentations in specific research areas in computational sciences and informatics by SCS faculty and staff members, and professional visitors. Notes May be repeated for credit, but maximum 3 credits of CSI 898, 899, and 991 may be applied to PhD. Hours of Lecture or Seminar per week 1 Hours of Lab or Studio per week 0 Grading S/NC
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  • CSI 899: Colloquium in Computational Sciences and Informatics

    1.00 Credits
    George Mason University

    Credits: 1 Presentations in a variety of areas of computational sciences and informatics by SCS faculty and staff members, and professional visitors. Notes May be repeated for credit, but maximum 3 credits of CSI 898, 899, and 991 may be applied to PhD. Hours of Lecture or Seminar per week 1 Hours of Lab or Studio per week 0 Grading S/NC
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  • CSI 909: Advanced Topics in Computational Sciences and Informatics

    3.00 Credits
    George Mason University

    Credits: 3 Covers selected topics in computational sciences and informatics not covered in fixed-content courses. Prerequisites Permission of instructor. Notes May be repeated for credit as necessary. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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