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.
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 stars84.41%
- 4 stars11.61%
- 3 stars2.83%
- 2 stars0.28%
- 1 star0.84%
来自计算原理（第 2 部分）的热门评论
Helped me gain a lot of insight on Python coding. It was a great course to set up the basic to advanced journey for a coder.
Great course, but the final project in W4 is very long compared the rest of the projects in this series of courses. Content is still top notch though.
Great course, I hope for more of this kind of courses. Invaluable skills gained from this course. High praise to all the professors. Thank You Very Much.
Phew, this course was much harder than the preceding courses. Some assignments took many hours of work over several days. But it's doable, and well worth it.
关于 计算机基础 专项课程
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.