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Rice University

Principles of Computing (Part 2)

Rice University via Coursera


This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.

In part 2 of this course, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.

Taught by

Scott Rixner, Joe Warren and Luay Nakhleh


4.4 rating, based on 16 Class Central reviews

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  • Profile image for Eric Colon
    Eric Colon

    Eric Colon completed this course, spending 12 hours a week on it and found the course difficulty to be hard.

    A big step up in terms of difficulty compared to the rest of the specialization. I did pass but I think I will stop here for a while and look for other courses on this subject.
  • Rafael Prados

    Rafael Prados completed this course.

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    Bhuvan N

    Bhuvan N completed this course, spending 8 hours a week on it and found the course difficulty to be medium.

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