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  1. C++ Console I/O, C++ File I/O, Stream Operations, Live Example Coding : Working with Files, Live Coding Continuation: Function to Operate on the Opened File Stream, Passing the File Stream by Reference, Error Function, Class Libraries OO Features, Why OO is So Successful, CS106 Class Library, CS106: Scanner Library, Scanner Client Interface, Client Use of Scanner, Container Classes, Template Containers, Vector Interface

  2. Similarity between C++ & Java: - syntax - variable types - operators - control structures, Looking at an Example C++ code: - comment, #include Statements, Global Declarations (constant), Declaring a Function Prototype, The main() Function, Decomposed Function Definition, Example Live Coding: To Calculate the Average, for loop -> a while : Another Purpose of the Same Code, C++ User Defined Data Types: -enums -records, C++ Parameters Passing...more

  3. Stumbled Upon: 'I'terator, Common Mistakes Stumbled Upon: Concatenating Strings, Solving Problems Recursively, Functional Recursion, Example of Recursion: Calculating Raise to Power, Demo of "Raise to the Power Example" Through Live Coding, Mechanics of What s Going to Happen in Recursion, More Efficient Recursion, Being Wary of Too Many Base Cases, Recursion & Efficiency, Example: Palindromes, Example: Binary Search, Binary Search Code W...more

  4. Sort Template with Callback, Supplying the Callback Function, One Last Convenience: Default Callback Function, Why Object Oriented Programming, Class Division, Class Interface in ".h" File, Storage for Objects, Accessing Members of a Class, Class Implementation, Implementing Member Functions, Maintaining Object Consistency, Constructors of a Class, Destructors of a Class, Basic Thoughts on Object Design, Internal vs External Representation...more

  5. Buffer: Vector vs Stack, Buffer as Linked List, Cursor Design, Use of Dummy Cell, Linked List Insert/delete, Linked List Cursor Movement, Compare Implementation, Doubly Linked List, Compare Implementation, Space Time Trade Off, Implementing Map, Simple Map Implementation: Vector, Map as Vector : Performance Implication, A Different Strategy

  6. Administrative Details, Exams - Time limit, Conflicts, Course Grade Breakdown, Assignment Details - Submission, Grading, Late Days, Course Email, Newsgroup, Facebook/Twitter, Mailing List, Course Prerequisites, Languages and Paradigms Taught - C++ vs. Pure C, Procedural Paradigm vs. Object-Oriented Paradigm, Assembly, Concurrent Programming Overview, Example of Data Sharing Issues with Concurrent Programming, Scheme, Functional Paradigm Ov...more

  7. How a Code Snippet is Translated into Assembly Instructions, Store, Load, and ALU Operations, Assembly Optimizations for 4-Byte Addresses, Context-Insensitive Code Translation, Overriding the 4-Byte Default in Assembly Instructions, Translating a For Loop into Assembly, Using Branch Instructions and the PC Register, Pointer/Array Arithmetic in Assembly, Unconditional Branch Instructions (Jumps), How a 4-Byte Assembly Instruction is Encoded...more

  8. Refresh: Permute Code, Tree of Recursive Calls, Live Demo: Testing with Different Cases, Eliminating Duplicates, Subsets, Subset Strategy, Subset Code, Tree of RecursiveCalls: Subset, Exhaustive Recursion, Recursive Backtracking, Turning Recursive Permute to Backtracking, Permute -> Anagram Finder Code, Decision Problems: 8 Queens, Extension to N Queens

  9. C/C++ Data Types - Interpretations, Sizes, Bits- How Bytes are Broken Up into Bits, Breaking Up a Character's Decimal Value into its Underlying Bit Structure, Shorts - Interpreting Data that Consists of More Than One Byte, Representations of Negative Numbers, The Sign Bit, Two's Complement Addition, Converting Between Chars and Shorts, How the Bit Representation is Transferred, Converting Between ints and shorts, Sign Extending During Conv...more

  10. An Application of Supervised Learning - Autonomous Deriving, ALVINN, Linear Regression, Gradient Descent, Batch Gradient Descent, Stochastic Gradient Descent (Incremental Descent), Matrix Derivative Notation for Deriving Normal Equations, Derivation of Normal Equations

  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