This course is more about mathematic than algorithms, it teaches how to solve tricky combinatorial problems

This is great course if you already done some algorithms courses and want to go deeper.

This course offers an extensive coverage of mathematical material like tools and techniques, putting special emphasis on simple principles and never losing its focus on the general perspective of the topic.

Developing insight on analytic functions together with combinatorics and the practical applications of theory into code gives a significant advantage over using naive approaches.

A special appreciation to Prof. Sedgewick's endless efforts for disseminating mathematical knowledge among programmers, over this platform and even outside!

Thank you very much.

The good thing about Coursera is that the courses are self-contained with defined prerequisites but this course is definitely not self-contained and it also doesn't mention any prerequisites. It can be a good extra material following through a class, or attending the same lectures. This course is essentially the lectures from this class but without any supporting material or small group tutorials. Other than that, it's just a promotion of the books that the lecturer wrote.

I didn't like this course at all. Cover less material, but explain it better. Most of the students drop out after week 3.

算法3

Some of the problems are very interesting and I'm quite impressed by the symbolic method. Howerver, part of the contents are too "detailed" which is dull in my opinion.

I enjoyed problems given in the quizzes. The course is one of the best presentations I have seen.

Excellent course, great exercise in combinatorics.

This course is very helpfull!

Doesn't offer ceritifcate

I have very much enjoyed taking this course. I think that professor Sedgewick does an excellent job making this material accessible at a deep level. His lectures and videos helped me develop a much deeper understanding of this material than I would have if I had just read the accompanying books.

clear explanation, and amazing tools to analyze algorithms through a scientific approach.

good

The course was good, but the teaching style was not for me so had to take a lot of help and use some guesswork

The instructor have to reissue the video according to the general aspect of solving the algorithms because there have no clear understanding of solving the approximate value of a given function in the questions. the teacher have my respect for developing algorithms with his friend but his way of teaching still bugs me on the concept

Tough

no certificate

If you're interested in the theoretical aspects of algorithms and want to gain a deep understanding of how they perform mathematically, this is a fantastic course. However, if you're looking for a more coding-oriented or applied algorithms course, you might want to pair this with a more practical course like Algorithms, Part I & II by Princeton University on Coursera.

Excellent material and instruction, and the course readings do require matematical sophistication. The biggest disappointment was the comments in the discussion forums, example: "good", "benefitable", etc.. The forum comments are not a reflection on the quality of the course, but a direct commentary on the people who are wasting everyone's time.