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.
About this Course
Learner Career Outcomes
Learner Career Outcomes
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
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TOP REVIEWS FROM PRINCIPLES OF COMPUTING (PART 1)
This course is very good for beginners and intermediate coders. Gives important basics about computer science from 3 very good professors.
very wellmade assignments! that goes a long way! plotting seemed a bit superflous and not much learned.\n\nThank you professors!
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.
Yay, no more peer grading! This course felt easier than intro2. Less fiddling with your programs and more about concepts.
About the Fundamentals of Computing Specialization
Frequently Asked Questions
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