关于此 专项课程

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Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists. About the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications.
学生职业成果
62%
完成此 专项课程 后开始了新的职业。
26%
加薪或升职。

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

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中级

完成时间大约为4 个月

建议 7 小时/周

英语(English)

字幕:英语(English)
学生职业成果
62%
完成此 专项课程 后开始了新的职业。
26%
加薪或升职。

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

完成时间大约为4 个月

建议 7 小时/周

英语(English)

字幕:英语(English)

专项课程的运作方式

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how it works

此专项课程包含 4 门课程

课程1

课程 1

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

4.8
3,552 个评分
640 条评论
课程2

课程 2

Graph Search, Shortest Paths, and Data Structures

4.8
1,501 个评分
166 条评论
课程3

课程 3

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

4.8
953 个评分
104 条评论
课程4

课程 4

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

4.8
589 个评分
74 条评论

提供方

斯坦福大学 徽标

斯坦福大学

常见问题

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • The Specialization has four four-week courses, for a total of sixteen weeks.

  • Learners should know how to program in at least one programming language (like C, Java, or Python); some familiarity with proofs, including proofs by induction and by contradiction; and some discrete probability, like how to compute the probability that a poker hand is a full house. At Stanford, a version of this course is taken by sophomore, junior, and senior-level computer science majors.

  • For best results, the courses should be taken in order.

  • No.

  • Having taken your programming and thinking skills to the next level, you will be well positioned to ace your technical interviews, pursue serious software engineering, and study advanced topics in algorithms.

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