software engineering
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This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations...more
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Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
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May 2, 2008 lecture by Krzysztof Gajos for the Stanford University Human Computer Interaction Seminar (CS547). User Interfaces delivered with today's software are usually created in a one-size-fits-all manner, making implicit assumptions about the needs, abilities, and preferences of the "average user" and the characteristics of the "average device." Krzysztof Gajos argues that personalized user interfaces, which are adapted to a persons ...more
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June 22, 2006 presentation by Stephen Palumbi for the Stanford University Office of Science Outreach's Summer Science Lecture Series. Professor of Biological Sciences, Stephen Palumbi, will take us on an interesting journey through time to explain how the Monterey Coast arose from its once polluted and overfished past to be one on the most beautiful and coveted shorelines of the United States. Though not pristine, it is an example of the ...more
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Backtracking Pseudocode, Sudoku Solver, Sudoku Code, Cryptarithmetic, Dumb Solver, Smarter Solver, Looking for Patterns, Introduction to Pointers, Single Pointer Operations
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Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
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Marc Fleury, creator of JBoss, explains why it is important, for those in business with an engineering background, to not abandon the science but embrace it. Striking a balance between the two will make for a more successful entrepreneur.
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Bayesian Statistics and Regularization, Online Learning, Advice for Applying Machine Learning Algorithms, Debugging/fixing Learning Algorithms, Diagnostics for Bias & Variance, Optimization Algorithm Diagnostics, Diagnostic Example - Autonomous Helicopter, Error Analysis, Getting Started on a Learning Problem
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Jeff Raikes, group vice president of Productivity and Business Services (PBS) at Microsoft Corporation, explains his own background and how being open to opportunities helped him become the only undergraduate from the Engineering Economic Systems department at Stanford.  Plans change as opportunities arise, he says. He also recommends entrepreneurs look for a job they love.
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Bias/variance Tradeoff, Empirical Risk Minimization (ERM), The Union Bound, Hoeffding Inequality, Uniform Convergence - The Case of Finite H, Sample Complexity Bound, Error Bound, Uniform Convergence Theorem & Corollary
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Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
