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.
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.
- 5 stars81.12%
- 4 stars14.10%
- 3 stars2.99%
- 2 stars0.52%
- 1 star1.23%
PRINCIPLES OF COMPUTING (PART 1) からの人気レビュー
i enjoyed a lot, the syllabus in this course is really useful, and the application that we see in our day to day life
Course was a good progression on the Intro to Python courses
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.
Extremely well structured and highly recommended as a beginner course for computer science!
Fundamentals of Computing専門講座について
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.