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.
About this Course
University of Illinois at Urbana-Champaign
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.
- 5 stars77.32%
- 4 stars17.51%
- 3 stars2.94%
- 2 stars0.81%
- 1 star1.39%
TOP REVIEWS FROM OBJECT-ORIENTED DATA STRUCTURES IN C++
This course is indeed one of kind I would really recommand it to anyone seeking to improve their knowledge and hone their skills in the field of computer science more specifically in C++ programming.
Very well constructed course, gives a very concise and clear run-through of a lot of fundamental concepts in computer science and how those concepts are expressed in the C++ language.
So well designed course! Should be named c++ made easy. I specifically liked the challenge problem and Week 4 programming assignment. Thanks professor Wade Fagen-Ulmschneider and Eric!
A truly well structured course, that knows when to guide you, but also when to let you learn the hard way. Clearest explanations of memory, c++, and object oriented design anywhere online.
About the Accelerated Computer Science Fundamentals Specialization
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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