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Program | Requirements | Courses | PDF File Courses in Engineering: Applied Science—Davis (EAD) Lower Division Courses1. Optical Science and Engineering (4)Lecture—3 hours; discussion—1 hour. Discussion and demonstrations of optical science and engineering principles and applications. Discussion of the opportunities and professional practice in the field including ethics and responsibilities.—I. (I.) Baldis, Cramer, Orel 2. Introduction to Applied Computational Science and Engineering (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: Mathematics 21C (may be taken concurrently), Physics 9A (may be taken concurrently), Computer Science Engineering 30. Role of mathematics in modeling physical, biological, and engineering phenomena. Pitfalls in computation. Limitations of models, numerical implementations, and quality assessment of computational data. Interactions among mathematics, algorithms, computer hardware and software, and selected scientific and engineering applications.—III. (III.) 90C. Research Group Conference for Lower Division Students (1)Discussion—1 hour. Prerequisite: lower division standing; consent of instructor. May be repeated for credit. (P/NP grading only.)—I, II, III. (I, II, III.) 98. Directed Group Study (1-5)Prerequisite: consent of instructor and lower division standing. (P/NP grading only.) 99. Special Study for Lower Division Students (1-5)Prerequisite: consent of instructor. (P/NP grading only.) Upper Division Courses108A. Optics I (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: Physics 9C and Mathematics 21D. Optical properties of matter, the nature of light, reflection, refraction, and other properties of light. Basic optical components, reflecting systems, and dispersive components. Geometrical optics, ray tracing, and optical aberrations. Optical instruments. The color of light.—I. (I.) Baldis, Kolner 108B. Optics II (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: course 108A. Introduction to wave theory of optics, including Maxwell’s equations and boundary condition, reflection and transmission coefficients, interference, diffraction, polarization, thin film and ultra thin film optics, and radiation from extended distributions of oscillating electric dipoles. Applications of wave optics. Not open for credit to students who have completed Physics 108 and 108L.—II. (II.) Baldis, Kolner 108L. Optics Laboratory (4)Discussion—1 hour; laboratory—6 hours; extensive problem solving—3 hours. Prerequisite: courses 108A, 108B. Practical applications of principles of geometrical and physical optics. Optical properties of materials, imaging, lens fabrication, interferometry, polarization, photometry, polarization, diffraction and propagation. Small course fee for materials.—III. (III.) Kolner 115. Numerical Solution of Engineering and Scientific Problems (4)Lecture—3 hours; discussion—1 hour. Prerequisite: Engineering 6 or Computer Science Engineering 30, and Mathematics 22B. Computer problem solving, including error analysis, roots of equations, systems of equations, interpolation and data fitting, integration; initial value, boundary value, and eigenvalue ordinary differential equations. Emphasis on robust methods to solve realistic problems.—I. II, III. (I, II, III.) 116. Computer Solution of Physical Problems (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: course 115. Application of computers to the solution of physical problems. Numerical solution of elliptic, parabolic, and hyperbolic partial differential equations. Eigenvalue problems. Monte Carlo methods.—III. Jensen, Cramer, Miller, Orel, Laub, McCurdy, Rodrigue 117A. Simulation and Modeling of Deterministic Dynamical Systems (5)Lecture—3 hours; laboratory—3 hours; extensive problem solving—3 hours. Prerequisite: course 2, 116; Physics 104A. Numerical techniques for simulation and modeling of nonlinear deterministic systems. Examples from fluid, continuum, molecular mechanics, low dimensional nonlinear systems. Emphasis on error and stability through adaptive methods, evaluation of relationships between physical systems, the model equations, numerical implementation. Jensen, McCurdy, Miller, Orel, Rocke 117B. Simulation and Modeling of Statistical Systems (5)Lecture—3 hours; laboratory—3 hours; extensive problem solving. Prerequisite: Statistics 131A or Civil and Environmental Engineering 114 or Mathematics 131 and course 117A. Simulation of stochastic systems, maps, and deterministic chaos. Stability and error control in stochastic modeling. Fluctuations and dissipation; dynamics of complex and disordered systems; Monte Carlo techniques, Brownian, Langevin, and molecular dynamics. Simulation of meaningful statistical sampling in stochastic and disordered systems.—II. (II.) Miller, Orel, Laub, McCurdy, Rodrique 117C. Topics in Simulation and Modeling (5)Lecture—3 hours; laboratory—3 hours; extensive problem solving. Prerequisite: course 117B. Topics may include algorithms in electromagnetics, materials, biology, and economics. Fast multipole and resummation techniques, algorithms for integral transforms, mesh generation, combinatorics, encryption; data mining, handling, and compression of large data sets; optimization.—III. (III.) Miller, Orel, Laub, McCurdy, Rodrigue 118. High Performance Computing (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: course 117B (may be taken concurrently). Algorithms for efficient scientific computing on modern high-performance computers; influence on algorithms of distributed computing, memory management, networking, and information flow; managing relationships among computer architecture, software, and algorithms.—II. (II.) Miller, Orel, Laub, McCurdy, Rodrigue 119. Applied Computational Linear Algebra (4)Lecture—3 hours; discussion—1 hour. Prerequisite: course 115 and Physics 104A. Introduction to computational linear algebra with emphasis on applications in engineered systems; matrix factorizations; mathematical software for fundamental algorithms.—I. (I.) Jensen, Laub 161A. Optical Design (4)Lecture—3 hours; lecture/laboratory—3 hours. Prerequisite: course 108A; senior level standing. Optical materials and design of optical systems. Computer assisted design of optical systems including construction and final system characterization. Knowledge and skills acquired in earlier course work are used for designing that include engineering standards and realistic constraints. (Deferred grading only, pending completion of sequence.)—II. (II.) Baldis 161B. Optical Design (4)Lecture—3 hours; laboratory—1 hour. Prerequisite: courses 108A, 161A (completed during the previous quarter); senior level standing,. Design of a complete optical system, construction, testing, and calibration. The knowledge and skills acquired in earlier course work are used for designing that includes engineering standards and realistic constraints. Knowledge and skills acquired in 161A are essential. (Deferred grading only, pending completion of sequence.)—III. (III.) Baldis 165. Statistical and Quantum Optics (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: Chemistry 110A; Electrical and Computer Engineering 130B. Waves and photons; photon number and fluctuations; field and number correlations; atom-photon interactions; line broadening, Einstein coefficients; strong field interactions; photon bunching and anti-bunching; photoelectric counting distributions for chaotic and coherent light; squeezed states.—I. (I.) Yeh 166. Lasers and Nonlinear Optics (4)Lecture—3 hours; laboratory—3 hours. Prerequisite: course 165. Optical gain and amplification, laser threshold conditions, laser pumping requirements and techniques, laser resonator optics, cavity design, specific laser systems, short pulse generation, Q-switching, mode-locking, principles of nonlinear optics, second harmonic generation. optical parametric amplification, electro-optic effect.—II. (II.) Krol, Yeh 167. Fourier Optics (4)Lecture—3 hours; discussion—1 hour. Prerequisite: Physics 104A and Electrical and Computer Engineering 130B. Linear systems analysis of two-dimensional optical systems, 2D Fourier transforms, scalar diffraction theory, Fresnel and Fraunhofer diffraction, coherent and incoherent optical systems, spatial frequency analysis, analog optical information processing, spatial light modulators, film, holography, character recognition, and image restoration.—II. (II.) Kolner, Orel, Jensen 169. Optical Properties of Materials (4)Lecture—3 hours; discussion—1 hour. Prerequisite: course 108B, Engineering 45, and Chemistry 110A. Relation between structure, composition, and optical properties of laser materials, nonlinear optical materials, photorefractives, fiber optics, semiconductors, liquid crystals, and thin films.—III. (III.) Krol, Parikh 170. Optical Spectroscopy: Concepts and Instrumentation (4)Lecture—3 hours; discussion—1 hour. Prerequisite: Chemistry 110A and course 166. Fundamentals of absorption and emission, spectrometers, interferometers, light sources and detectors, UV, Visible, and IR spectroscopy, fluorescence spectroscopy, Raman and Brillouin scattering, high-resolution laser spectroscopy.—III. (III.) Orel, Kolner, Yeh, Parikh 172. Optical Methods for Biological Research (4)Lecture—3 hours; discussion—1 hour. Prerequisite: course 108B, Biological Sciences 2A, and Chemistry 110A. Optical techniques for resolving significant research problems in biology. Examples include the sequence, structure, and movement of DNA; nuclear organization and DNA replication; channel transport; membrane receptor sites and cell fusion; protein-protein interactions and supramolecular organization.—III. (III.) Yeh 190C. Research Group Conference for Advanced Undergraduates (1)Discussion—1 hour. Prerequisite: advanced standing; consent of instructor. Weekly conference on research problems, progress and techniques in applied science. May be repeated for credit. (P/NP grading only.)—I, II, III. (I, II, III.) 192. Internship (1-5)Internship—3-36 hours. Prerequisite: consent of instructor; upper division standing; approval of project prior to the period of the internship. Supervised work experience in Optical Science Engineering or Computational Applied Science. May be repeated for credit. (P/NP grading only.)—I, II, III. (I, II, III.) 198. Group Study (1-5)Prerequisite: consent of instructor. (P/NP grading only.) 199. Special Study for Advanced Undergraduates (1-5)Prerequisite: consent of instructor. (P/NP grading only.) Graduate Courses205A. Mathematical Methods (4)Lecture—3 hours; discussion—1 hour. Prerequisite: Mathematics 22B or equivalent. Complex variables, theory of convergence, evaluation of definite integrals, factorial function (gamma function), solution of second-order ODEs, Fourier analysis.—I. (I.) Jensen, Miller, Orel, Rodrique 205B. Mathematical Methods (4)Lecture—3 hours; discussion—1 hour. Prerequisite: course 205A. Laplace transforms, Fourier transforms, Delta sequences, Direct solution of PDEs, Green's functions for PDEs.—II. (II.) Jensen, Miller, Orel, Rodrique 205C. Mathematical Methods (4)Lecture—3 hours; discussion—1 hour. Prerequisite: Mathematics 22A and 22B or equivalent. Spherical harmonics, Bessel functions, special functions, finite and infinite vector spaces.—I. (I.) Jensen, Miller, Orel 209. Linear Modeling Techniques (4)Lecture—3 hours; discussion—1 hour. Prerequisite: Mathematics 167 or the equivalent strongly recommended. Matrix theory and linear algebra with emphasis on applications in engineered systems; geometric aspects of linear algebra; matrix factorizations; analysis and design techniques for discrete- and continuous-time lumped parameter models.—I. (I.) Laub 210A. Numerical Methods in Applied Science (4)Lecture—3 hours; lecture/discussion—1 hour. Prerequisite: facility with a programming language; C or C++ strongly recommended. Numerical methods developed from an applied mathematics perspective: Analysis and control of numerical error, interpolation, integration, noniterative solution of linear systems, iterative methods for root finding and minimization.—II. (II.) Rodrigue, Miller, Jensen 210B. Numerical Methods in Applied Science (4)Lecture—3 hours; lecture/discussion—1 hour. Prerequisite: facility with a programming language; C or C++ strongly recommended. Numerical methods developed from an applied mathematics prespective: Iterative methods for linear systems, numerical solutions for ODE initial and boundary value problems, numerical PDEs, eigenvalues and eigenvectors.—III. (III.) Rodrigue, Miller, Jensen 210C. Numerical Methods in Applied Science (3)Lecture—3 hours. Prerequisite: course 210B. Computational methods in various fields including: fluid mechanics, kinetic theory, solid mechanics, quantum mechanics.—I. (I.) Rodrigue, Vemuri 211A. Numerical Solution of Partial Differential Equations I (3)Lecture—3 hours. Prerequisite: course 210A, 210B. Fundamentals of parallel computers, grid generation, domain decomposition, Poisson’s equation, elliptic PDEs, Galerkin methods, numerical linear algebra, iterative acceleration.—I. (I.) Rodrigue, Miller, Orel, Jensen 211B. Numerical Solution of Partial Differential Equations II (3)Lecture—3 hours. Prerequisite: course 211A. Parabolic PDEs, stability, preconditioned time differencing, hyperbolic PDEs, modified differential equation, advection-diffusion equations, wave equation, Burgers’ equation, reaction-diffusion equations.—II. (II.) Rodrigue, Miller, Orel, Jensen 211C. Numerical Solution of Partial Differential Equations III (3)Lecture—3 hours. Prerequisite: course 211B. Conservation laws, fluid equations, turbulence, elasticity equations, electromagnetic equations, transport equations.—III. (III.) Rodrigue, Miller, Orel, Jensen 213A. Computer Graphics (3)Lecture—3 hours. Prerequisite: consent of instructor. Development of algorithms for perspective line drawings of three-dimensional objects, as defined by polygons or bicubic patches.—(II.) Max 217A. Applied Computational Science (3)Lecture—3 hours. Prerequisite: course 210A, Mathematics 229A or the equivalent (may be taken concurrently). Applied modular programming in low level language (c or fortran). Direct implementations and integrated applications of algorithms applied to computational science problems, which are exemplified through projects. Emphasis on the practical use and implementation of theory taught in course 210A.—I. Rodrique, Miller, Orel, Jensen 217B. Applied Computational Science (3)Lecture—3 hours. Prerequisite: course 210B or the equivalent (may be taken concurrently). Applied modular programming in low level language (c or fortran). Direct implementations of the theory taught in course 210B and integrated applications of algorithms for computational science problems, exemplified through projects including partial differential equations; initial/boundary value problems.—II. Rodrique, Miller, Orel, Jensen 218. Signal Processing (3)Lecture—3 hours. Prerequisite: Mathematics 121A, 121B or the equivalent. Discrete-time and continuous-time signal processing. Fourier transforms, Laplace transforms, sampling and reconstruction. LTI systems: convolution. Discrete-time transforms: DFT, FFT, and Discrete wavelet transforms. Filters and filter designs.—I. (I.) Dowla 219. Wavelets and Their Applications (3)Lecture—3 hours. Prerequisite: Electrical and Computer Engineering 150A, Mathematics 167. Fourier transforms and digital filters; sampling theorem and analog-to-digital conversion, multirate signal processing; wavelet transforms and filter banks; fast algorithms: FFT, DWT, and pyramid; data compression with wavelets; spectral factorization; designing application-specific wavelets. Offered in alternate years.—(II.) Dowla 220A. Artificial Neural Nets–I (3)Lecture—3 hours. Prerequisite: Mathematics 167; ability to use computers to solve problems using a traditional language or via tools like Matlab or Mathematica. Biological and Computational motivations. Models of neurons. Supervised and unsupervised learning. Correlation matrix memories. Discrete and continuous Hopfield nets. Self organization. Kohonen Net. Counter propagation. Perceptron. LMS methods. Back propagation. Offered in alternate years.—(I.) Vemuri 220B. Artificial Neural Nets–II (3)Lecture—3 hours. Prerequisite: course 220A. Growing and pruning algorithms for multi-layer perceptrons, acceleration of convergence, conjugate gradient methods. RBF networks. Temporal processing. Modular networks. Reinforcement learning. Neurodynamics. Case studies. Offered in alternate years.—(II.) Vemuri 221. Genetic Algorithms and Optimization (3)Lecture—3 hours. Prerequisite: Mathematics 145 or the equivalent; graduate standing; ability to program in one of the modern programming languages. Introduction to genetic algorithms. Fundamental theorem; schema processing; genetic operators; applications to function optimization, scheduling, VLSI circuit layout. Implementation on parallel computers; genetic programming; evolutionary algorithms.—(III.) Vemuri 225. Computational Structures for Signal and Image Processing and Graphics (3)Lecture—3 hours. Prerequisite: Computer Science Engineering 40; course 210A. Tools for research in digital media. Relevant computer architectures, algorithms and languages for signal processing, image processing and graphics. Hardware and software issues in parallelism. Programming in SISAL. Parallel C and Parallel Fortran. Parallel algorithms using SISAL on parallel computers. Offered in alternate years.—(III.) Vemuri 226. Practical Data Communications in Digital Media (3)Lecture—3 hours. Prerequisite: Computer Science Engineering 152. Tools for research in digital media. Communication protocols, algorithms and architectures suitable in modern networked environment. Transmission of digital data over voice-grade channels, telecommunications networks for data transport, Broadband multimedia communications, ATM, and Broadband ISDN. Offered in alternate years.—(II.) Vemuri 228A-228B-228C. Properties of Matter (3-3-3)Lecture—3 hours. Prerequisite: Mathematics 22B and Physics 112B. Microscopic and macroscopic descriptions of matter; thermodynamics and kinetics; constitutive, electrical, mechanical and thermal properties.—I, II, III. (I, II, III.) Luhmann, Yeh, Baldis, McCurdy 229. Computational Molecular Modeling (4)Lecture—3 hours; project. Prerequisite: course 210A and 228A or consent of instructor. Theory and hands-on implementation of algorithm in computational statistical mechanics. Temporal integrators, molecular dynamics, force fields, constrained dynamics, Monte Carlo techniques, fluctuation-dissipation theorem, and parallel vs. serial computing.—II. (II.) Jensen 230. Topics in Computational Fluid Dynamics (3)Lecture—3 hours. Prerequisite: course 210A, 210B or consent of instructor. A hands-on approach to numerical methods for compressible fluid flow. Readings and discussions of solution strategies complemented with programming exercises and projects to give first hand experience with performance and accuracy of several computational methods; from upwind differencing to Godunov methods.—III. (III.) Miller 231A. Applied Quantum Mechanics (3)Lecture—3 hours; discussion—1 hour. Prerequisite: courses 205ABC (may be taken concurrently). Classical properties of matter; introduction to quantum mechanics by the correspondence principle. Solvable bound state/continuum problems in 1-D: well, barrier, and harmonic oscillator. Solvable problems in 3-D: HO, well, and hydrogen atom. Matrix theory: Schroedinger, Heisenberg, and interaction pictures.—II. (II.) Orel, Krol, Yeh 231B. Applied Quantum Mechanics (4)Lecture—3 hours; discussion—1 hour. Prerequisite: course 231A. Approximate methods in quantum mechanics, perturbation methods, variational methods, time dependent perturbation theory, scattering, and radiation.—III. (III.) Orel, Krol, Yeh 233A-233B-233C. Theory and Applications of Solid-State Physics (3-3-3)Lecture—3 hours. Prerequisite: course 230C or the equivalent. Structure and properties of crystals; theory of dielectrics, metals and alloys; magnetism, superconductivity, and semiconductors. Applications to various solid-state devices.—I-II-III. (I-II-III.) Orel 234A. Applied Electromagnetics I (3)Lecture—3 hours. Prerequisite: Electrical and Computer Engineering 130B or the equivalent. Electrostatics; Gauss’s law, potentials, fields, boundary value problems, multiple pole expansions, dielectrics, polarization, capacitance, energy, torque, forces, eigenfunction expansions. Magnostatics; Biot-Savart law, Ampere’s law, vector potential, gauge transformations, magnetization, inductance, constitutive relations.—II. (II.) Kolner, Hwang 234B. Applied Electromagnetics II (3)Lecture—3 hours. Prerequisite: course 234A. Maxwell’s Equations, wave equations for fields and potentials. Poynting’s Theorem and power flow. Momentum and angular momentum in the electromagnetic field. Stress tensor. Polarization. Reflection/refraction. Dispersion, causality, and susceptibility. Circuit concepts, radiation.—III. (III.) Kolner, Hwang 234C. Applied Electromagnetics III (3)Lecture—3 hours. Prerequisite: course 234B. Dynamics of relativistic particles; collisions between charged particles, energy loss, and scattering; radiation by moving particles; bremsstrahung, method of virtual quanta, radiative beta processes; multipole fields; radiation damping, self fields of a particle, scattering and absorption of radiation.—I. (I.) Kolner, Hwang 262A. Atomic and Molecular Interactions (3)Lecture—3 hours. Prerequisite: Physics 215A-215B-215C or the equivalent. Atomic structure and spectra. Offered in alternate years.—(I.) Orel 262B. Atomic and Molecular Interactions (3)Lecture—3 hours. Prerequisite: Physics 215A-215B-215C. Molecular structure and spectra. Offered in alternate years.—(II.) Orel 262C. Atomic and Molecular Interactions (3)Lecture—3 hours. Prerequisite: course 262B. Classical and quantum mechanical collision theory of electron and heavy particle scattering. Offered in alternate years.—(III.) Orel 263A. Quantum Statistics of Light (3)Lecture—3 hours. Prerequisite: Physics 200B-200C and Physics 215A-215B-215C or the equivalent. Classical susceptibilities, single quantization of light/matter interactions, resonance phenomena, second quantization of electromagnetic fields, number representation and operators.—II. (II.) Orel, McCurdy 263B. Quantum Theory of Optics (3)Lecture—3 hours. Prerequisite: course 263A. Statistics of photon fluctuations. Quantum theory of radiation. Theory of lasers.—III. (III.) Orel 264A. Classical Optics I (3)Lecture—3 hours. Prerequisite: course 108B and Electrical and Computer Engineering 130B or Physics 110B. Crystal optics; anisotropic wave propagation, dispersion relations, phase and group velocity surfaces. Polarization, Stokes parameters, Poincare sphere. Optical crystallography; interference figures, optical activity, crystal symmetry and point groups. Piezoelectricity, electro-optic, magneto-optic effects. Geometrical optics; eikonal equation, Lagrange’s integral invariant, Fermat’s principle.—I. (I.) Kolner 264B. Classical Optics II (3)Lecture—3 hours. Prerequisite: course 264A. Dielectric waveguide theory; slab waveguides, integrated optics waveguides, optical fibers. Guided, radiation, and leaky-wave modes. Dispersion, compensation, and communications bit rates. Coupled-mode theory, waveguide perturbations, directional couplers, fiber gratings. Dielectric microcavities. Self- and cross-phase modulation. Solitons.—II. (II.) Kolner 264C. Classical Optics III (3)Lecture—3 hours. Prerequisite: course 264B. Huygens-Fresnel principle, Kirchoff’s diffraction theory. Fresnel and Fraunhofer diffraction. Phase and amplitude gratings, aperatures, lenses, two-dimensional linear systems. Spatial filtering. Holography. Coherence theory; spatial/temporal coherence, partial coherence, mutual intensity, degree of coherence, van Cittert-Zernike theorem, coherency matrix.—III. (III.) Kolner 265A. Laser Physics I (3)Lecture—3 hours. Prerequisite: Physics 200C and Physics 215B-215C or the equivalent. Classical theory of lasers. Classical electron oscillator, atomic susceptibility, line broadening mechanisms, rate equations, stimulated transitions, radiative/nonradiative relaxations, multilevel systems, population inversion, saturation, oscillation, Schawlow-Townes limit, paraxial wave propagation, dispersion, pulse compression, resonators, modes, stability, Q-switching, modelocking.—I. (I.) Kolner 265B. Laser Physics II (3)Lecture—3 hours. Prerequisite: course 265A. Beam propagation, resonators and laser dynamics. Threshold dynamics and cavity modes. Ray optics and matrices, wave optics and Gaussian beams. Resonator stability. Linear pulse propagation, dispersion and pulse compression. Spiking, relaxation, Q-switching, injection locking and modelocking.—II. (II.) Kolner 267. Nonlinear Optics (3)Lecture—3 hours. Prerequisite: course 265A-265B. Theory of the nonlinear interaction of radiation and matter. Nonlinear optical properties of materials. Crystal optics, electro-optics, and acousto-optics. Parametric oscillation and amplification. Harmonic conversion. Stimulated Raman and Brillouin scattering, self-focusing, four-wave mixing, phase conjugation and spectroscopy.—III. (III.) Krol 270A-270B. Advanced Laser Plasma Physics (3)Lecture—3 hours. Prerequisite: course 205A, 205B, 234. Laser-produced plasmas and advanced applications of high power lasers. Plasma formation with lasers, ponderomotive force, kinetic theory, waves in unmagnetized plasmas, non-linear effects, parametric instabilities, hydrodynamic instabilities, and radiation transport. Applications include ICF, X-ray lasers.—II-III. (II-III.) Baldis 271. Optical Methods in Biophysics (4)Lecture—3 hours; discussion/laboratory—1 hour. Prerequisite: Biological Sciences 102 or the equivalent, course 108B or the equivalent, and Chemistry 110A or the equivalent. Principal optical techniques used to study biological structures and their related functions. Specific optical techniques useful in the studies of protein-nucleic acid, protein-membrane and protein-protein interactions. Biomedical applications of optical techniques. (Same course as Biophysics 271.)—III. (III.) Yeh, Parikh, Balhorn, Matthews 273. X-Ray Spectroscopy and Synchroton Radiation (4)Lecture—3 hours; discussion—1 hour. Fundamentals of x-ray absorption, emission, and inelastic scattering; x-ray imaging and microscopy; synchroton radiation from bend magnets, wigglers, undulators, and free electron lasers; x-ray optics and storage ring design; visits to the synchroton radiation facilities SSRL and ALS; optional experiments. Offered in alternate years.—III. Cramer 280A-280B-280C. Plasma Physics and Controlled Fusion (3-3-3)Lecture—3 hours. Prerequisite: course 234B or consent of instructor. Equilibrium plasma properties; single particle motion; fluid equations; waves and instabilities in a fluid plasma; plasma kinetic theory and transport coefficients; linear and nonlinear Vlasov theory; fluctuations, correlations and radiation; inertial and magnetic confinement systems in controlled fusion.—I, II, III. (I, II, III.) Luhmann, Hwang 285A. Physics and Technology of Microwave Vacuum Electron Beam Devices I (4)Lecture—4 hours. Prerequisite: B.S. degree in physics or electrical engineering or the equivalent background. Physics and technology of electron beam emissions, flow and transport, electron gun design, space charge waves and klystrons. Offered in alternate years.—(III.) Luhmann 285B. Physics and Technology of Microwave Vacuum Electron Beam Devices II (4)Lecture—4 hours. Prerequisite: 285A. Theory and experimental design of traveling wave tubes, backward wave oscillators, and extended interaction oscillators. Offered in alternate years.—(I.) Luhmann 285C. Physics and Technology of Microwave Vacuum Electron Beam Devices III (4)Lecture—4 hours. Prerequisite: 285B. Physics and technology of gyrotrons, gyro-amplifiers, free electron lasers, magnetrons, crossfield amplifiers and relativistic devices. Offered in alternate years.—(II.) Luhmann 285D. Physics and Technology of Microwave Vacuum Electron Beam Devices IV (4)Lecture—4 hours. Prerequisite: 285C. Computational models of vacuum electron beam devices. Offered in alternate years.—(III.) Luhmann
289A-K. Special Topics in Applied Science
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Updated: February 18, 2009 2:51 PM