Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems.
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课程信息
学生职业成果
50%
67%
您将获得的技能
学生职业成果
50%
67%
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莱斯大学
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.
教学大纲 - 您将从这门课程中学到什么
Module 1 - Core Materials
What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
Modules 1 - Project and Application
Graph representations, plotting, analysis of citation graphs
Module 2 - Core Materials
Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
Module 2 - Project and Application
Connected components, graph resilience, and analysis of computer networks
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来自算法思想(第 1 部分)的热门评论
The content is great. I enjoyed learning about graph theory. The new platform is pretty frustrating, though. The discussion boards are not as vibrant as they were before the paywall.
very educational. I've learnt not only about graph theory but also how to use matplotlib and timeit libraries. The assignments were quite challengeable but rewarding.
The class is very useful, I already see the improvement in the codes that I write. And the assignments are very well-designed and truly helpful.
This is where computer science truly starts, without the excessive preliminary math that usually scares most people away. Great course!
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. 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.

常见问题
我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
Is financial aid available?
完成课程后,我会获得大学学分吗?
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