关于此 专项课程

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Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner), a chief data scientist at Yandex (Michael Levin), and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
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灵活的计划
设置并保持灵活的截止日期。
中级
完成课程大约需要 8 个月
建议进度:6 小时/周
英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成课程大约需要 8 个月
建议进度:6 小时/周
英语(English)

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此专项课程包含 6 门课程

课程1

课程 1

Algorithmic Toolbox

4.6
11,254 个评分
2,383 条评论
课程2

课程 2

数据结构

4.6
4,553 个评分
778 条评论
课程3

课程 3

Algorithms on Graphs

4.7
2,072 个评分
343 条评论
课程4

课程 4

字符串算法

4.5
980 个评分
172 条评论

提供方

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加州大学圣地亚哥分校

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俄罗斯国家研究型高等经济大学

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