27 episodes

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.

Programming Abstractions Stanford

    • Technology
    • 3.4, 58 Ratings

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.

Customer Reviews

3.4 out of 5
58 Ratings

58 Ratings

infin8dvonE ,

Great info, only wish I could view it clearly.

These courses are fantastic for self learning but the video leave a lot to the imagination due to it poor quality.
Next time please pipe the display feed line out instead of bootlegging the video steam.
Plus the pdf files included can not be highlighted or have notes annotations.

Sullivan1226 ,

PDF?

This is definitely an excellent class to learn. But the resolution of the videos is very low. It is really hard for me to recognize what is actually displayed on the screen. It'll be great if you guys can provide PDF files of the slides just like the iPhone course here in iTunes U.

Thanks!

TrackerBob ,

Seemed like a good idea...

Having completed CS 106 A, Programming Methodology, and enjoyed the experience, I wanted more and CS 106 B seemed a good choice.
It wasn't ... Because even for someone with the motivation to attempt this course, who enjoyed CS 106 A, the iTunes version of this course was so poorly organized, and some essential content missing (for example, the lab content, and the wealth of insight to be found there ... admittedly hard to do, at least in its entirety), that it was as much a frustrating experience as it was a source of learning.
I gave up and am trying another similar iTunes course.

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