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Stanford Engineering Everywhere CS106B - Programming Abstractions

Stanford Engineering Everywhere CS106B - Programming Abstractions

This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java. If you've taken the Computer Science AP exam and done well (scored 4 or 5) or earned a good grade in a college course, Programming Abstractions may be an appropriate course for you to start with, but often Programming Abstractions (Accelerated) is a better choice. Programming Abstractions assumes that you already have familiarity with good programming style and software engineering issues (at the level of Programming Methodology), and that you can use this understanding as a foundation on which to tackle new topics in programming and data abstraction.

Topics: Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Object-oriented programming, fundamental data structures (such as stacks, queues, sets) and data-directed design. Recursion and recursive data structures (linked lists, trees, graphs). Introduction to time and space complexity analysis. Uses the programming language C++ covering its basic facilities.

Prerequisites: *Solid performance in Programming Methodology and readiness to move on to advanced programming topics. *A comparable introductory programming course (including high school AP courses) is often a reasonable substitute for our Programming Methodology.

Course Homepage: [[http://see.stanford.edu/see/courseInfo.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e]]

Course features at Stanford Engineering Everywhere page: *Programming Abstractions *Lectures *Syllabus *Handouts *Assignments *Exams

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Lecture 3: C++ Libraries - Standard Libraries

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Lecture 22: Map as Vector

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Lecture 7: Seeing Functions as Data: Specific Plot Functions

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Lecture 25: Lexicon Case Study

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Lecture 1: About the CS106 Series at Stanford

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Lecture 15: Selection Sort

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Lecture 26: Final Showdown

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Lecture 18: Abstract Data Types

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Lecture 12: Pointer Movie

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Lecture 8: Common Mistakes Stumbled Upon: 'I'terator

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Lecture 4: C++ Console I/O

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Lecture 27: C++ Programming Language

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Lecture 2: Similarity between C++ & Java: - syntax - variable types - operators ...

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Lecture 10: Refresh: Permute Code

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Lecture 19: Rules of Template Implementation

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Lecture 11: Backtracking Pseudocode

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Lecture 23: Pathfinder Demo

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Lecture 9: Thinking Recursively

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Lecture 16: Partitioning for Quicksort

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Lecture 17: Sort Template with Callback

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Lecture 13: Coding with Linked List

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Lecture 5: Client Use of Templates

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Lecture 14: Algorithm Analysis

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Lecture 21: Buffer: Vector vs Stack

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Lecture 6: More Containers

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Lecture 24: Compare Map Implementations

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Lecture 20: Live Coding: Recap of the Vector-based Implementation for Stack

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