5.0
Reviewed Aug 24, 2020I enjoyed problems given in the quizzes. The course is one of the best presentations I have seen.
This course is more about mathematic than algorithms, it teaches how to solve tricky combinatorial problems
Analysis of Algorithms
This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Analysis of Algorithms, Second Edition (upon which the course is based) or to visit the website aofa.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.
Status: Calculus
Status: Applied Mathematics
AdvancedCourse21 hours
Featured reviews
4.0
Reviewed Aug 6, 2022Such a good class as an intro to Analytic Combinatorics and Analysis of Algorithms
5.0
Reviewed Feb 4, 2024This Course was very much helpful for me to learn about Analysis of algorithm.
5.0
Reviewed Feb 26, 2025Excellent understanding of the concepts related to Algorithms
4.0
Reviewed May 22, 2024ftuuvkjhvgcjhbjknlknljbjgcghvibjbvgcgulvhvljugkyckyhkgv
4.0
Reviewed Feb 4, 2024This course Analysis of Algorithms clear all concept
5.0
Reviewed Aug 13, 2022Outstanding material, brilliantly conceived! It contains the essence of mathematics necessary for anyone serious about programming.
5.0
Reviewed Apr 7, 2020Wonderful insights about the study of the algorithm's complexity and combinatoric logic.
5.0
Reviewed Mar 9, 2018This is great course if you already done some algorithms courses and want to go deeper.
5.0
Reviewed Feb 11, 2024was really good, understood the importance of analysis of algorithms
4.0
Reviewed Mar 3, 2024easy to learn and understanding of concepts was good
5.0
Reviewed Sep 14, 2022I would highly recommend this course to any developer to understand algorithm analysis.
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Андрій
5.0
Reviewed Apr 29, 2018Hafidz
5.0
Reviewed Mar 10, 2018This is great course if you already done some algorithms courses and want to go deeper.
Ivan
5.0
Reviewed May 2, 2018This 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.
Deleted
2.0
Reviewed May 5, 2020The 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.
Konstantin
3.0
Reviewed Apr 26, 2018I didn't like this course at all. Cover less material, but explain it better. Most of the students drop out after week 3.
zhangdi
5.0
Reviewed Sep 16, 2018算法3
Zhenwei
4.0
Reviewed Sep 24, 2019Some 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.
Aswin
5.0
Reviewed Aug 25, 2020I enjoyed problems given in the quizzes. The course is one of the best presentations I have seen.
Madhav
5.0
Reviewed Nov 22, 2019Excellent course, great exercise in combinatorics.
HelloIsJeffrey
5.0
Reviewed Jan 10, 2019This course is very helpfull!
Mathews
1.0
Reviewed Apr 19, 2020Doesn't offer ceritifcate
Derren
5.0
Reviewed Feb 27, 2021I 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.
Fakhreddine
5.0
Reviewed Apr 17, 2020clear explanation, and amazing tools to analyze algorithms through a scientific approach.
PRADYOT
5.0
Reviewed May 10, 2025good
Shanmukha
4.0
Reviewed Feb 13, 2024The course was good, but the teaching style was not for me so had to take a lot of help and use some guesswork
Lokesh
3.0
Reviewed Feb 21, 2024The 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
Chirag
3.0
Reviewed Feb 3, 2024Tough
PRACHET
1.0
Reviewed Oct 3, 2023no certificate
MATHAN
5.0
Reviewed Mar 7, 2025If 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.
S
5.0
Reviewed Sep 1, 2021Excellent 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.