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  1. About the Introduction to Computer Science Series at Stanford, The Philosophy, Why take CS106B?, Logistics of the Course, Introducing C++

  2. The History of Computing, Computer Science vs Programming, What Does the Computer Understand?, The Compilation Process, Java is an Object Oriented Language, Inheritance, Instance of a Class, The acm.program Hierarchy, Your First Java Program, A ConsoleProgram Example, The Graphics Window, The Sending-Messages-to-a-GLabel Example

  3. November 16, 2007 lecture by Ge Wang for the Stanford University Human-Computer Interaction Seminar. In the first part of this talk, Ge presents the design, philosophy, and development of ChucK, a computer music programming language intending to provide a different approach, expressiveness, and thinking with respect to time and parallelism in audio programming - as well as a platform for precise and rapid experimentation. In the second par...more

  4. Applications of Reinforcement Learning, Markov Decision Process (MDP), Defining Value & Policy Functions, Value Function, Optimal Value Function, Value Iteration, Policy Iteration

  5. April 25, 2008 lecture by Leah Buechley for the Stanford University Human Computer Interaction Seminar (CS547). Computational textile researchers weave, solder and sew electronics into cloth to build soft, flexible and wearable computers. Computational textiles or "e-textiles" is a young discipline, and developments in the field have so far been relegated almost exclusively to research labs in industry and academia. Lisa Buechley presents...more

  6. The Motivation & Applications of Machine Learning, The Logistics of the Class, The Definition of Machine Learning, The Overview of Supervised Learning, The Overview of Learning Theory, The Overview of Unsupervised Learning, The Overview of Reinforcement Learning

  7. October 5, 2007 lecture by Ron Yeh for the Stanford University Human-Computer Interaction Seminar. Pen and paper are powerful tools for visualizing designs, penning music, and communicating through art and written language. This pairing provides many benefits -it is mobile, flexible, and robust. Ron discusses the impact that this will have on end users and the software developers who will have to create these applications.

  8. Course overview; what do computer scientists do?

  9. (February 13, 2009) Vladlen Koltun, an Assistant Professor of Computer Science at Stanford University, talks about recent research in virtual worlds and attempts to alleviate the difficulties faced within this field.

  10. 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?

  11. Kernels, Mercer's Theorem, Non-linear Decision Boundaries and Soft Margin SVM, Coordinate Ascent Algorithm, The Sequential Minimization Optimization (SMO) Algorithm, Applications of SVM

  12. Latent Semantic Indexing (LSI), Singular Value Decomposition (SVD) Implementation, Independent Component Analysis (ICA), The Application of ICA, Cumulative Distribution Function (CDF), ICA Algorithm, The Applications of ICA