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  1. Professor Diamond's review of the lymphatic system continues with the lymphatic vessels and lymph. Professor Diamond compares lymphatic vessels to the cardiovascular system and notes the differences in structure. Next, Professor Diamond defines lymph (tissue fluid) and its composition and function. The movement of lymph is also discussed, and again, this is compared to the movement of blood through the body. The absorption of fat by the ve...more

  2. 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

  3. 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

  4. Seeing Functions as Data: Specific Plot Functions, Generic Plot Function, Back to the Set, Live Coding Example: Use of Set with User Defined Data Types, Client Callback Function, Review of the Classes Seen,5 Using Nested ADTs (Abstract Data Types), Live Coding Example, Recursion, Recursive Decomposition

  5. Professor Sylvia Ceyer discusses the classification of acids and bases as they are defined by Arrhenius, Bronsted-Lory, and Lewis acid/base. The pH function (and pOH function) are defined as they relate to the strength of acids and bases (in water). Professor Ceyer then runs through the types of acid-base problems and concludes by discussing equilibrium involving weak acids.

  6. Rewriting RSG to Illustrate all Three Paradigms and Lambdas in Python, How Objects Are Implemented in Python, Python Dictionary Implementation, Writing an RSG Grammar in Python Using A Dictionary and Lists, Expanding the Start Terminal Using all Three Paradigms at Once, Changing the Expand Function to A Binary Function, Modifying the Map to Use A Python Lambda Function As A Result, Python Object Model From A Memory Standpoint, How Objects ...more

  7. 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

  8. Scheme Memory Model - How Scheme Instructions Synthesize Linked Lists Behind the Scenes and Perform Operations on Them, Two Different Ways of Laying Out A List In Memory, One With Memory Aliasing and One Without, The Scheme Equivalent of "..." (Functions With Multiple Arguments), Writing A Generic Map Function, Modifying the Unary-Map Function to Handle Multiple Arguments By Adding A . to the List of Arguments, Extending Unary-Map to An N-...more

  9. Professor Diamond begins this lecture with the structure and composition of the nose, paying particular attention to the roof, septum and the lateral wall. Then she analyses the tear ducts and how these ducts relate to nasal ducts before turning to a closer look at the pharynx and larynx, and their locations and composition. She also explains how vocal cords function and how that changes in males during puberty, and she describes the motio...more

  10. Final Showdown, Thinking About Design, Runtime Performance, Memory Used, Code Complexity, Making Tradeoffs, Array vs Vector, Stack/Queue vs Vector, Set vs Sorted Vector, Pointer-based vs. Contiguous Memory, CS106B MVPs, Pointers, To Remember Years from Now, After CS106B, considering.cs

  11. Determining a Position Vector-Valued Function for a Parametrization of Two Parameters.

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