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
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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 stars81.08%
- 4 stars14.01%
- 3 stars2.97%
- 2 stars0.52%
- 1 star1.40%
TOP REVIEWS FROM PRINCIPLES OF COMPUTING (PART 1)
Very well taught. A lot of fun taking up this course. Hope there will be a 2nd season for this specialization course.
i enjoyed a lot, the syllabus in this course is really useful, and the application that we see in our day to day life
It's quite a step up from the level op IPP. Assignments are also a bit more difficult but still very enjoyable puzzles to solve.
This course is very good for beginners and intermediate coders. Gives important basics about computer science from 3 very good professors.
About the Fundamentals of Computing Specialization

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