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
您将获得的技能
- Graph Theory
- Algorithms
- Python Programming
- Graph Algorithms
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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.
授课大纲 - 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
审阅
- 5 stars78.16%
- 4 stars14.94%
- 3 stars3.16%
- 2 stars1.43%
- 1 star2.29%
来自算法思想(第 1 部分)的热门评论
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.
Project is interesting, bu the video lecture is kind of repetitive and does not cover much
The course content is well structured and the instructors' explanation is clear and concise!
Another fantastic course from the team at Rice - thank you!
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.

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