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  • IT 876: Measure and Linear Spaces

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with CSI 876 Measure theory and integration; convergence theorems; theory of linear spaces and functional analysis; and probability theory.The theory of linear spaces includes 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 STAT 544 and MATH 315. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered AF
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  • IT 877: Geometric Methods in Statistics

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with CSI 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 and tessellations of 2-, 3-, and n-dimensional spaces. Examples include applications to statistics and 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 When Offered AF
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  • IT 885: Spectral Estimation

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with ECE 752 In-depth study of spectral analysis and its application to statistical signal processing. Topics include classical Fourier analysis of deterministic signals and Wiener theory of spectral analysis for random processes; spectral estimation using Periodogram and window approaches; maximum entropy spectral estimation and its relation to autoregression modeling; signal subspace approaches for frequency estimation; and wavelet transform and its relation to short-time Fourier transform. Prerequisites ECE 528 or STAT 652, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • IT 886: Information Theory

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with ECE 751 Introduces the mathematical theory of communication systems. Topics include entropy; relative entropy and mutual information; Shannon-McMillan-Breiman theorem and applications to data compression; entropy rate and source coding theorem; Huffman, arithmetic and Lempel-Ziv codes; method of types; channel capacity and channelcoding theorem; joint source-channel coding theorem; differential entropy; Gaussian channel; rate distortion theory; and vector quantization. Prerequisites ECE 630 or STAT 644 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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  • IT 888: Distributed Estimation and Multisensor Tracking and Fusion

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with ECE 753/OR 888/SYST 888 Centralized and distributed estimation theory, hierarchical estimation, tracking and data association, multisensor multitarget tracking and fusion, distributed tracking in distributed sensor networks, track-to-track association and fusion, and Bayesian networks for fusion. Prerequisites ECE 734 or SYST 611 Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • IT 890: Special Topics in Urban Transportation

    3.00 Credits
    George Mason University

    Credits: 3 Includes traffic safety analysis, simulation in transportation, intelligent transportation systems, advanced public transportation systems, congestion and travel demand management, geographic information systems and information technology, and innovative refinancing and public-private partnerships. Prerequisites CEIE 560 and 660 or equivalent; or permission of instructor. Notes May be repeated for credit when topic distinctly different. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • IT 891: Special Topics in Applications of Information Technology to Urban Systems Engineering

    3.00 Credits
    George Mason University

    Credits: 3 Topics include inventive engineering, design engineering, network computing, building and using intelligent agents in engineering, and proactive design. Prerequisites CEIE 670, or permission of instructor. Notes May be repeated for credit when topics distinctly different. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • IT 892: Special Topics in Environmental and Water Resource Systems Engineering

    3.00 Credits
    George Mason University

    Credits: 3 Possible topics include studies in waste minimization; pollution prevention; hazardous waste management; wastewater management; air pollution control; solid waste management; environmental decision making; sustainability; water resource and environmental economics; wetlands management, design and construction; groundwater contamination modeling; stochastic hydrology; river basin planning and management; and water quality modeling. Prerequisites CEIE 601 Notes May be repeated for credit when topics distinctly different. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • IT 894: Design and Inventive Engineering

    3.00 Credits
    George Mason University

    Credits: 3 Topics include evolution of engineering, design engineering, inventive engineering, general design methodology, conceptual versus detailed design, axiomatic and inferential design theories, engineering method in design, design paradigms, case-based and proactive design, design evaluation, virtual design studio, Internet and browsers in design, creative problem solving, and computer tools to support design creativity. Prerequisites SYST 573, CEIE 670, or OR 681; or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • IT 910: Research Topics in Artificial Intelligence

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with CS 910 Special topics not occurring in regular computer science sequence. Requires substantial student participation. Subject matter may include continuation of existing 600- or 700-level courses in artificial intelligence. Prerequisites Graduate course in artificial intelligence. Notes May be repeated for credit when subject matter differs. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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