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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计算机基础 专项课程莱斯大学课程信息
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第 5 门课程（共 7 门）
中级
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 希腊语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）, 泰卢固语
您将获得的技能
- Graph Theory
- Algorithms
- Python Programming
- Graph Algorithms
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 5 门课程（共 7 门）
中级
完成时间大约为12 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 希腊语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）, 泰卢固语
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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
完成时间为 4 小时
Module 1 - Core Materials
What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
完成时间为 4 小时
15 个视频 （总计 180 分钟）, 2 个阅读材料, 1 个测验
完成时间为 4 小时
Modules 1 - Project and Application
Graph representations, plotting, analysis of citation graphs
完成时间为 4 小时
3 个阅读材料
完成时间为 2 小时
Module 2 - Core Materials
Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
完成时间为 2 小时
9 个视频 （总计 109 分钟）
完成时间为 3 小时
Module 2 - Project and Application
Connected components, graph resilience, and analysis of computer networks
完成时间为 3 小时
3 个阅读材料
审阅
来自算法思想（第 1 部分）的热门评论
由 RQ 提供May 29, 2016
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.
由 OT 提供Sep 28, 2018
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.
由 MR 提供Sep 16, 2019
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.
由 MN 提供Mar 7, 2018
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, 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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