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Course Criteria
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3.00 Credits
Credits: 3 Cross-Listed with CHEM 728 Includes gas absorption isotherms, surface-area measurement techniques, real and clean surfaces, physisorption and chemisorption, methods of gas absorption and desorption, measurement of heats of adsorption, desorption kinetics, electron spectroscopies and their surface sensitivities, instrumentation needed, and principles of vacuum technology. Prerequisites CHEM 422 or equivalent. Introduces properties of solid surfaces. 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 CHEM 732 Illustrates fundamental concepts of quantum mechanics with applications to chemical systems, including atomic and molecular electronic structure and properties, molecular symmetry, and intermolecular forces. Prerequisites CHEM 332. 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 Covers quantum mechanics of the interaction of atoms and molecules with electromagnetic radiation. Also covers modern spectroscopic methods as applied to the elucidation of molecular structure and dynamics. Prerequisites CHEM 332. 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 Discusses fundamental aspects of complexity theory and its applications from perspective of quantum physics. Explores current research in emerging field of quantum complexity theory, and discusses related issues in quantum algorithms. Prerequisites CSI 615 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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3.00 Credits
Credits: 3 Introduces quantum information theory and its practical applications to information processing and secure communications. Emphasizes applications involving commercial and defense systems. Prerequisites CSI 615, and CSI 783 or 784; 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 Covers methods for programming quantum computers. Topics include quantum computing concepts, currently known algorithms for quantum computers, denotational semantics, existing languages for quantum computers, application of logic programming to quantum computers, and programming for different types of novel computer architectures. Prerequisites CSI 615 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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3.00 Credits
Credits: 3 Introduces physical implementation of quantum computation, and practical applications to developing scalable quantum computers. Special emphasis on various schemes for achieving practical quantum computers. Prerequisites CSI 615, and 784 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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3.00 Credits
Credits: 3 Covers selected topics in computational chemistry not covered in fixed-content computational chemistry courses. Prerequisites 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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3.00 Credits
Credits: 3 Covers basic and advanced fluid mechanics and continuous hypothesis to define fluids. Introduces tensor analysis; Euclidean and Lagrangian representations of fluid flow; Laplace's equation; continuity equation; Navier-Stokes equations; Bernoulli's theorem and Crocco's form of the equations; steady and unsteady flows; potential, incompressible, and compressible flows; gravity and sound waves; gas dynamics; and viscous flowsPrerequisites CSI 700 and 780; 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 Covers fundamentals including spatial and temporal approximation techniques for partial differential equations, solution of large systems of equations, data structures, solvers of the Laplace/ full potential equation, and simple Euler solvers. Includes two major projects Laplace solver, and 2-D Euler solver on unstructured grids. Students expected to write their own codes. Prerequisites Course in partial differential equations such as MATH 678 or equivalent; knowledge of linear algebra at level of MATH 603 or CSI 740/MATH 625; coding experience in FORTRAN or C; or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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