programming
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Advice for Applying Machine Learning, Debugging Reinforcement Learning (RL) Algorithm, Linear Quadratic Regularization (LQR), Differential Dynamic Programming (DDP), Kalman Filter & Linear Quadratic Gaussian (LQG), Predict/update Steps of Kalman Filter, Linear Quadratic Gaussian (LQG)
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Bartz passion for programming is not about making money; it is about loving what she is doing. Whatever it is your doing, she says, make sure it is something you enjoy. The best leaders who are entrepreneurs are doing what they like.
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Transitioning from Sequential Programming to Concurrent Programming in the Ticket Sale Example
Stanford / Computer Science
Transitioning from Sequential Programming to Concurrent Programming in the Ticket Sale Example, Problems with the Sequential Model, Threading Interface, Rewriting the Ticket Example to Use It, Adding a Randomized Threadsleep Call to the Threads to Make the Time Slices Used by the Different Threads Less Uniform, Sample Output of Our Ticket Threads, How a Thread Can be Interrupted in the Middle of a Nonatomic Operation, How Multithreading Ca...more
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May 16, 2008 lecture by Rob Miller for the Stanford University Human Computer Interaction Seminar (CS547). Rob Miller discusses some of the explorations into keyword programming in the web automation domain, and also in other domains such as Java development. One surprising result is that programming language syntax often has relatively little information content, and can be inferred automatically from only a handful of keywords -- allowi...more
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This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language.
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Life After Programming Methodology, The CS Major, Other Possible Majors
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Programming Methodology is the largest of the introductory programming courses and is one of the largest courses at Stanford. Topics focus on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Programming Methodology teaches the widely-used Java programming language along with good software engine...more
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Topics: Welcome to CS106A, Course Staff, Why is the class called Programming Methodology?, Are you in the right class?, Class Logistics, Assignments and Grading, Extensions, Midterm and Final, Grade Breakdown, The Honor Code, Why Karel?
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