Get flash to fully experience Pearltrees
Electrical Engineering & Computer Science
Welcome to YouTube!
David J. Malan , Instructor email@example.com http://www.cs.harvard.edu/malan/ Harvard Extension School Today's websites are increasingly dynamic.
Welcome to YouTube!
About UC Berkeley
About UC Berkeley The University of California, Berkeley is the preeminent public research and teaching institution in the nation. From classic literature to emerging technologies, the curricula of our 130 academic departments span the wide world of thought and knowledge.
Welcome to YouTube! The location filter shows you popular videos from the selected country or region on lists like Most Viewed and in search results.To change your location filter, please use the links in the footer at the bottom of the page. Click "OK" to accept this setting, or click "Cancel" to set your location filter to "Worldwide".
This free online computer science course is an introduction to the intellectual enterprises of computer science.
Continuation of Convex Optimization I. Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation.
Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems.
Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions.
The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. Together with a great variety, the subject also has a great coherence, and the hope is students come to appreciate both. Topics include: The Fourier transform as a tool for solving physical problems.
Electrical engineering books and guides
The World's Most-Visited Engineering Job Site Get Job Alerts EngineerJobs.com lists engineering jobs from companies hiring engineers in more than 750 U.S. cities and around the world.