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  1. Introduction to the Kawa Development Environment: Evaluation of Expressions, Loading Function Definitions From a .Scm File, Mapping Arbitrary Unary Functions Over Lists in Scheme Using the Map Operation, Mapping List Functions (Car, Cdr) Over Lists of Lists, Using Mapping Functions with More than One Input by Passing Multiple Lists into Map, Implementing the Unary Version of Map Using Recursion, Apply, Which Allows You to Specify a Functio...more

  2. Review of the Dining Philosopher Problem, Modeling Each Philosopher as a Thread, How Deadlock Can Result, How Deadlock Can be Eliminated By Limiting the Number of Philosophers That Can Eat at Once Using a Semaphore, Using a Global Variable and a Binary Lock to Track a Resource Vs. Using a Semaphore, Another Threading Example Involving FTP Downloads of Multiple Files at Once, Where Each File Is Assigned to a Thread and the Total Number of B...more

  3. 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

  4. Car-Cdr Recursion Problem that Returns the Sum of Every Element in a List of Integers, How Scheme Checks Type During Run-Time Rather than Compilation, Recursive Implementation of the Fibonacci Function in Scheme, Example that Illustrates Runtime Error/Type Checking Vs. Compile-Time Error/Type Checking, Writing a Recursive Flatten Function that Removes All the Intervening Parentheses from a List, Using a Cond Structure to Branch Over the Va...more

  5. More Detail about Activation Records - Layout of Memory During a Function Call, How the Return Address of a Function is Stored on the Stack, Example Showing How an Activation Record is Constructed on the Stack, Setting Up Function Parameters on the Stack, Using the Call Instruction to Jump to the Function, Cleaning Up at the End of a Function and Using the RET Instruction and the Saved Return Address to Return to the Original Function, Gen...more

  6. Creating a Generic Swap Function for Data Types of Arbitrary Size, Void* Type for Generic Pointers, Implementation of Swap Function Using memcpy, Client Interface to Generic Swap Function, Pros and Cons of C Generics vs. C++ Generics, Errors Resulting from Improper Use of C Generic Swap Function that Compile, Swapping Pointers, Pitfalls when Swapping Pointers Using Generics, Implementing a Generic Linear Search, Implementing a Generic Line...more

  7. Preprocessing Commands - #Define as a Glorified Find and Replace, Preprocessing Macros - Preprocessor Commands With Arguments, Example of Macro Usage in the Vector assignment to Calculate the Address of the Nth Element, Assert Macro Implementation, How Asserts are Stripped Out for the Final Product Using #Ifdef and #Define, C Macro Drawbacks When Given More Complex Arguments, #Include as a Search and Replace Operation, < > Vs. " ", Output ...more

  8. Client Use of Templates, Vector Class, Vector Client Interface, Client Use of Vector, Type-safety in Templates, Grid Class, Grid Client Interface, Client Use of Grid, Stack Class, Stack Client Interface, Queue Class, Queue Client Interface, Client Use of Queue, Nested Templates, Learning a New API, CS106B Library Documentation

  9. Converting Between Types of Different Sizes and Bit Representations Using Pointers, Little Endian vs. Big Endian, Structs: How the Data of a Struct is Stored, Accessing the Data of a Struct, Arrays, Pointer Arithmetic on Arrays, Result of Casting Arrays to Different Types, Layout in Memory of Structs, Dynamically Allocated Strings in C vs. Arrays of Characters, Modifying Internal Data of Structs Using strcpy, Character Arrays and cout, Gen...more

  10. 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

  11. 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)

  12. After a mock trial session to whittle down the most critical causes from an applicant pool of 10,000, Google.org chose just five areas of concentration: renewable energy, plug-in vehicles, prevention of pandemics, famines, and floods, public services for the poor, and job creation. And the organization's Executive Director, Larry Brilliant, offers this overview of these pressing global issues, and pinpoints Google's resources dedicated tow...more