This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.
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伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
授课大纲 - 您将从这门课程中学到什么
Orientation; Writing a C++ Program
Understanding the C++ Memory Model
Developing C++ Classes
Engineering C++ Software Solutions
审阅
- 5 stars77.37%
- 4 stars17.53%
- 3 stars2.88%
- 2 stars0.77%
- 1 star1.42%
来自OBJECT-ORIENTED DATA STRUCTURES IN C++的热门评论
This course provides a great introduction to OOP. This is perfect for me since I don't know how to start with OOP. The final project also provides a great code base for interested to study.
Great explanations by the professor, only reason I am giving 4 stars is due to less support from course staff. Although assignments are well designed, instructions for few are confusing.
I felt this mini-course was well-organized and to the point. Prof. Fagen-Ulmschneider covered all the necessary details with great emphasis. I appreciate Prof. F's enthusiasm for the topic.
Honestly, this is a great crash course in OOP for C++ (though the ideas can be applied to any language). Previous experience with C++ is almost a necessity, the lessons can be complicated for novices.
关于 Accelerated Computer Science Fundamentals 专项课程
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.

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