此课程适用人群: Programmers with basic experience looking to understand the practical and conceptual underpinnings of algorithms, with the goal of becoming more effective software engineers. Computer science students and researchers as well as interdisciplinary students (studying electrical engineering, mathematics, bioinformatics, etc.) aiming to get more profound understanding of algorithms and hands-on experience implementing them and applying for real-world problems. Applicants who want to prepare for an interview in a high-tech company.


制作方:   University of California, San Diego, Higher School of Economics

  • Alexander S. Kulikov

    教学方:    Alexander S. Kulikov, Visiting Professor

    Department of Computer Science and Engineering

  • Michael Levin

    教学方:    Michael Levin, Lecturer

    Computer Science

  • Neil Rhodes

    教学方:    Neil Rhodes, Adjunct Faculty

    Computer Science and Engineering

  • Pavel  Pevzner

    教学方:    Pavel Pevzner, Professor

    Department of Computer Science and Engineering

  • Daniel M Kane

    教学方:    Daniel M Kane, Assistant Professor

    Department of Computer Science and Engineering / Department of Mathematics
Basic Info
Course 1 of 6 in the 数据结构与算法 Specialization.
Commitment5 weeks of study, 4-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
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每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

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制作方
University of California, San Diego
Higher School of Economics
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已评分 4.6,总共 5 个 1,397 评分

Very good course for a newbie developers and for refreshing your knowledge.

Good educational course

This is a great introduction to a more formal approach to algorithms and I look forward to the rest of the courses in the specialization. The dynamic programming week was somewhat more difficult than the other weeks, but I think that could be remedied with more visualizations during the lectures.

If you're lacking in any basic maths skills, I would recommend running through Khan academy first. Functional notation and series would be especially useful.

Excellent lectures and challenging problem sets!