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Course Criteria
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3.00 Credits
Credits: 3 This course introduces and reviews programming in C and FORTRAN with emphasis on the aspects used in the computational and data sciences. The course is conducted through a combination of both lecture and interactive computer laboratory. Prerequisites Permission of instructor Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with SYST 500 Accelerated review of mathematical tools for scientific applications and analysis. Topics include vectors and matrices; differential and difference equations; linear systems; Fourier, Laplace, and Z-transforms; and probability theory. Prerequisites MATH 213 and 214. Notes Not applicable to 48-credit course total for CSI PhD. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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1.00 Credits
Credits: 1 Introduces basic tools in computational science. Covers UNIX, editors, LaTeX, HTML, and graphics. Emphasizes application and use rather than theory. Substantial portion of instruction delivered via distance-learning web interface. Prerequisites Year of college calculus, and course in computer programming. Notes Not applicable to 48-credit course total for CSI PhD. Hours of Lecture or Seminar per week 1 Hours of Lab or Studio per week 0
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1.00 Credits
Credits: 1 Covers MATLAB, MAPLE, and GNUPlot. Emphasizes application and use rather than theory. Substantial portion of instruction delivered via distance-learning web interface. Prerequisites CSI 601, and knowledge of matrix algebra. Introduces basic tools in computational science. Notes Not applicable to 48-credit course total for CSI PhD. Hours of Lecture or Seminar per week 1 Hours of Lab or Studio per week 0
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1.00 Credits
Credits: 1 Introduces use of scientific visualization tools for data analysis. Teaches use of specific packages on rotating basis. Packages include PV-WAVE, S-Plus, SV, XMGR, and pnm tools. Prerequisites CSI 601, or permission of instructor. Notes Not applicable to 48-credit course total for CSI PhD. Hours of Lecture or Seminar per week 1 Hours of Lab or Studio per week 0
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1.00 Credits
Credits: 1 Covers relational model used in Oracle and other database packages. Includes database design concepts, table operations, triggers, sequences, and introduction to structured query language (SQL). Prerequisites CSI 601 and 602, or permission of instructor. Introduces database tools. Notes Not applicable to 48-credit course total for CSI PhD. Hours of Lecture or Seminar per week 1 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Covers advanced numerical methods, computer architecture, and scientific software development. Includes software design, construction, and validation techniques commonly used in industry. Also introduces high-performance computing. Prerequisites CSI 601, 602, 603, 604, 605, and 700; or permission of instructor. Notes Not applicable to 48-credit course total for CSI PhD. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Introduces field of quantum computation. Emphasizes scientific principles involved and presentation of strengths and weaknesses of approach. Topics include basic quantum physics and quantum algorithms. Prerequisites Undergraduate course in quantum physics, and undergraduate degree in physical or computer sciences, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Intensive review to begin research in global change. Covers basic principles of physiological ecology; population dynamics; dynamics of ecological communities and ecosystems; biogeography; biological diversity; and dynamics of biosphere, including effects of life on atmosphere, oceans, and solid surfaces. Prerequisites General chemistry, general physics, introductory statistics, and calculus. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Introduces relationship among government, science, scientists, and issues and processes that shape science policy. Emphasizes examples taken from space weather and meteorology. Prerequisites Graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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