This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python 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.
This course is part of the Fundamentals of Computing Specialization
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About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Computer Programming
- Algorithms
- Python Programming
- Combinatorics
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Syllabus - What you will learn from this course
Required Python knowledge, coding standards, and machine grading
Testing, plotting, and grids
Probability, randomness, and objects/references
Combinatorics, generators, and debugging
Reviews
- 5 stars81.11%
- 4 stars13.98%
- 3 stars2.97%
- 2 stars0.52%
- 1 star1.39%
TOP REVIEWS FROM PRINCIPLES OF COMPUTING (PART 1)
i enjoyed a lot, the syllabus in this course is really useful, and the application that we see in our day to day life
Best specialization for those who want to improve their coding and computational thinking.
Yay, no more peer grading! This course felt easier than intro2. Less fiddling with your programs and more about concepts.
Another excellent course from Rice/Coursera, challenging and interesting
About the Fundamentals of Computing Specialization

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