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Course Criteria
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4.00 Credits
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.)
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4.00 Credits
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
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5.00 Credits
Lecture-3 hours; laboratory-3 hours; extensiveproblem 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
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5.00 Credits
Lecture-3 hours; laboratory-3 hours; extensiveproblem 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
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5.00 Credits
Lecture-3 hours; laboratory-3 hours; extensiveproblem 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
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4.00 Credits
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
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4.00 Credits
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
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4.00 Credits
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
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4.00 Credits
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
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4.00 Credits
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; atomphoton 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
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