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  • CSI 639: Ethics in Scientific Research

    3.00 Credits
    George Mason University

    Credits: 3 Reviews purpose of scientific research and principles for evaluating ethical issues. Teaches skills for survival through training in moral reasoning and responsible conduct. Discusses ethical issues and applying critical-thinking skills to design, execution, and analysis of experiments. Issues include using animals, humans in research; ethical standards in computer community; research fraud; and currently accepted guidelines for data ownership, manuscript preparation, and conduct of those in authority. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 654: Data and Data Systems in the Physical Sciences

    3.00 Credits
    George Mason University

    Credits: 3 Introduces data issues associated with modern physical sciences. Examines data access, formats, browsing, analysis, visualization, and data information systems in federated environments. Uses examples from physical sciences, including astronomy and space sciences; Earth sciences; Earth observing and other fields of physics; and model output data and associated special issues. Introduces mathematical techniques particularly important for large databases. Prerequisites Competency in programming at CSI 601-607 level, 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 655: Atmospheric Physics I

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with PHYS 575 Introduction to basic physical and chemical processes that operate in the Earth's atmosphere. Emphasis on those concepts that provide a global description of the current atmospheric state and those processes that relate to global change and atmospheric evolution. Topics include equilibrium structure, radiative transfer models, thermodynamics of various atmospheric layers, and the various processes defining these layers. Prerequisites PHYS 260, 262, and 305, or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 659: Dispersal Methods of Hazardous Releases

    3.00 Credits
    George Mason University

    Credits: 3 Covers physics of aerosols; engineering, mechanics of building ventilation systems; and mechanical dissemination utilizing hand-held, automatic, vehicle, and truck mounted systems. Also discusses basic concepts, theories, and models of pollutant dispersal in atmosphere, and related atmospheric systems affecting dispersal of biological agents. Prerequisites CSI 655, 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 660: Space Instrumentation and Exploration

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with ASTR 535 Surveys instruments, devices, and methods for space and planetary exploration. Covers remote sensing of Earth and other solar system bodies; and planned manned and unmanned missions by the United States and other countries. Prerequisites PHYS 262, MATH 213, 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 661: Astrophysics

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with ASTR 530 Survey of contemporary astrophysics. Topics include physical concepts, stellar spectra, Hertzsprung-Russell diagram, stellar atmospheres, stellar structure, interstellar matter, stellar evolution, high-energy phenomena, hydrodynamical processes in astrophysics, accretion disk formation, and shock formation. Prerequisites PHYS 303, 305, 308; MATH 214. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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  • CSI 662: Space Weather

    3.00 Credits
    George Mason University

    Credits: 3 Introduction to space weather involving systems such as the sun, the heliosphere, and the Earth's magnetosphere and ionosphere. Covers the solar magnetic field, solar flares, coronal mass ejections, particle acceleration mechanisms, the solar wind, and the Earth's magnetic field, radiation belt, geomagnetic storms, and ionospheric disturbances.Prerequisites PHYS 303, 305, 307, and MATH 213, 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 670: Economic Systems Design

    3.00 Credits
    George Mason University

    Credits: 3 Introduces analytical and engineering principles used to develop exchange systems. Covers behavioral aspects of auction systems; matching, assignment, and transportation problems; and information markets. Introduces methods for testbedding systems using experimental economics. Prerequisites Course in linear and nonlinear optimization, and course in linear algebra; 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 672: Statistical Inference

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with STAT 652 Covers critical aspects of probability, random variables and distributions, characteristic functions, stochastic convergence, optimal estimation, maximum-likelihood estimation, asymptotic theory, Bayesian methods, likelihood-ratio tests, statistical decision theory, sequential methods. Prerequisites STAT 544, 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 674: Bayesian Inference and Decision Theory

    3.00 Credits
    George Mason University

    Credits: 3 Cross-Listed with STAT 664/SYST 664 Introduces decision theory and relationship to Bayesian statistical inference. Teaches commonalties, differences between Bayesian and frequentist approaches to statistical inference, how to approach a statistics problem from the Bayesian persepective and how to combine data with informed expert judgment in a sound way to derive useful and policy-relevent conclusions. Teaches necessary theory to develop firm understanding of when and how to apply Bayesian and frequentist methods, and practical procedures for inference, hypothesis testing, and developing statistical models for phenomena. Teaches fundamentals of Bayesian theory of inference, including probability as a representation for degrees of belief, likelihood principle, use of Bayes Rule to revise beliefs based on evidence, conjugate prior distributions for common statistical models, and methods for approximating the posterior distribution. Introduces graphical models for constructing complex probability and decision models from modular components. Prerequisites STAT 544 or CSI 672, or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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