Audio, Software / Demonstrations

Numerical Methods for Engineers

basic knowledge of numerical methods (root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, numerical solution to ordinary differential equations): homework solutions, example programs, supplemental material

Nuclear Engineering Courses

nuclear links & downloads, reference info: nuclear reactor analysis, engineering physics (nuclear, computer systems, optics and solid state laboratories, power plant systems & operation, reactor safety design, reactor heat transport system design, reactor heat transport system simulation & analysis, Fourier transforms), introduction to statistical mechanics & thermodynamics

Linear Algebra

matrix theory and linear algebra, emphasis on topics useful in other disciplines including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices: Readings, Tools, Study Materials, Related Resources

Convex Optimization

recognizing & solving convex optimization problems in engineering: Convex sets, functions, optimization problems, Basics of convex analysis, Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, Optimality conditions, duality theory, theorems of alternative, applications, Interior-point methods, signal processing, control, digital & analog circuit design, computational geometry, statistics, mech engineering

Introduction to Linear Dynamical Systems

applied linear algebra & dynamical systems, applications to circuits, signal processing, communications, control systems: Least-squares aproximations of over-determined equations, least-norm solutions of underdetermined equations, Symmetric matrices, matrix norm & SVD, Eigenvalues & eigenvectors, Matrix exponential, stability, asymptotic behavior, Multi-input & output, impulse & step matrices, convolution & transfer matrix, Control, reachability, state transfer, least-norm inputs, Observability & least-squares state estimation: support notes, MATLAB files

MIT OpenCourseWare

online publication of MIT course materials free and open to the world: aeronautics & astronautics, anthropology, biology, brain & cognitive sciences, chemical engineering, chemistry, civil & environmental engineering, comparative media studies, earth, atmospheric, & planetary sciences, economics, electrical engineering & computer science, engineering systems division, health sciences & technology, materials, media arts & sciences, mathematics, mechanical engineering, nuclear science & engineering, ocean engineering, physics, political science, science, technology & society

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