Who is this class for: Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year.


Created by:  Stanford University

Basic Info
Course 4 of 4 in the Algorithms Specialization
LevelIntermediate
Commitment4 weeks of study, 4-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said
Syllabus

FAQs
How It Works
课程作业
课程作业

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。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

获得正式认证的作业,并与朋友、同事和雇主分享您的成功。

Creators
Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Pricing
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Ratings and Reviews
Rated 4.8 out of 5 of 134 ratings

Thanks for the instructor.

The lectures gives much more information than previous 3-courses. And I often found I need extra practices (on-line alg interview problems) and reading (CLRS, e.g.) to grasp the course materials. The programming assignments are also more demanding. However, after finishing this course, I believe I have achieved better and deeper understanding of Algorithm design and analysis than I could imaged before taking this final NP course. And I am looking forward to learn more from Professor Tim Roughguarden's 'a second course on Algorithm' on youtube. Thank you very much, professor! Your knowledge and passion is totally incredible! And Thank you very much for fellow students on the discussion forums. It has been a great pleasure to learn with you all :)

A great course with great assignments. Assignments really test your implementation skills as well as research skills. One should really use forums to ask doubts and give answers to solve these assignments.

Very challenging, but it just shows that you should never give up and keep believing in yourself! Thanks Prof. Tim for this excellent course. I do feel smarter than when I started, and had fun too (most of the time)!