The only reason I'm giving this a 3 is due to the audio quality of the lectures. Everything else is 5.

Python wolud be much better choice, Java is good, but old school.

This is a great course on algorithms if you have a basic understanding of programming and need a solid basis for understanding algorithms. As an added bonus you will learn one or two things about Java, if you have little experience with the language. This course gives a great overview of the most important algorithms used in computer science with a great amount of discussion about their properties and areas of current research. The course has great material which the authors have put many years of thought and works very well. Finally, I was really happy with the assignments which were challenging but doable. They were not just simple repetition of the topics of the course but they added value and made me a better programmer. Well done for making such a great course available!

This covers the most algorithm in the interview.

The course was excellent and surprisingly was easier than the Part 1 course. This was mainly due to me just picking up Java in part 1. In the second part you will learn more complex and some ingenious algorithm that uses some of the data structure in Part 1. The assignments were moderately difficult but you will end up spending some time in order to get 100%. To sum up the course was great and I wish there was Part 3.

Great course. Very informative, very challenging. If you think Mr. Sedgewick is talking a bit boring I recommend to watch the videos 1.25x. He have very funny stories.

I should thank all of the people who supported/build this course.

Only 1 little tiny downside is sometimes for programming exercises you struggle with technical (non-algorithmic) details which is boring.

The only course that I'm planning to take again

It was a really great and challenging course, had a lot of fun going through the lectures and getting the challenges completed and along the way learned about important and efficient algorithms. The evaluation system and the IDE are awesome and give important feedback for troubleshooting. Thanks to Robert Sedgewick, Kevin Wayne and Princeton University for creating such a wonderful and informative course.

One of the parts I like for this course is the assignment. The assignment is to implement the algorithm which is useful in practice. Thinking how to implement each and running each after implementation are entertaining and make me think about the algorithm deeply. An introduction to the various algorithms for different type of problems broaden my horizons.

Thanks for providing this wonderful course.

This is really wonderful course with amazing instructors, supportive community and top notch material. I would recommend this course to anyone, it will change the way you think and approach problems.

I have been apple to apply some of the things thought in the course to a couple of very hard problems in the company i work at. Until that point nobody had an idea how to solve these problems.

I love Algorithm II class. Years ago, I read the Algorithm books from Professor Sedgewick and found very interesting solution for my ASIC debug of a scan chain hold time issue where I was able to convert the search from a linear search to a binary search. This class gives me great opportunities to practice on many challenging projects.

Thank you so much Professor Wayne and Sedgewick

The great and professionally conducted course. Step-by-step examples of the execution of the described algorithms, weekly tasks and the real-life applications of the algorithms are one of the things that make this course so valuable.

Moreover, the quick response of Dr Kevin Wayne and the fix of an issue with the grader output in one of the assignments was a nice surprise.

This was a wonderful course which covers very interesting topics. I liked the assignments; all were based on interesting and challenging practical problems. The lectures gave a very simple and straightforward explanation to concepts. Thanks to the professors for the amazing resources and also to the mentors who helped throughout the course with assignments and doubts.

Challenging, but rewarding. This is the state of the art when it comes to online courses. It doesn't get much better than this. Topics can be a bit hard to crack at a first glance, but explanations are done in such a way that complexity is built up appropriately and incrementally. With the right amount of diligence, you are able to wrap your head around eventually.

Great thanks to everyone who developed this wonderful course!

Good balanced theory and practice. Very much appreciated the ability to check correctness and effectiveness of performed programming assignments via autograder. Also thanks to everyone who discussed issues at forum. This course inspired me for further studying of other sections of computer science.

This class is really amazing. The lectures really do a good job of breaking down the mechanics of data structures and algorithms so they are easy to understand. Homework is just hard enough to be challenging and satisfying, while the clear instructions and auto-grader feedback keep everything approachable. I really enjoyed this class and learned a ton.

Professor Sedgewick is a terrific instructor and this course teaches you to implement famous algorithms to solve very interesting homework problems. Wonderful combination of more theory (Stanford algo course) with more practice (Princeton algo course). This course is rigorous too but if you take both you will see the different areas of focus.

Although I have not finished this course, I feel that this course is useful for that I have learned a lot in this course, including but not limited to, basic data structure, sort algorithm, graph etc. In fact, it's better to choose Algorithms, Part One before taking this course. To sum up, this course is very very nice.

This is very good course for more advanced algorithms. As usual content and support material is best one can get. Exercises are real worl applications, would need intense grilling but one would surely enjoy the results.

Big thank you to Professor Rob Sadgewick and Kevin Wyne for for putting up such a great course!

This is a very fantastic course, it is very luck for me to have this course. I've learned a lot of things from the part1 to part2. Prof. Sedgewick and his team's work on the videos and homework design is beyond my expectation, I'm very respect for that, thanks a lot. Hope I can take more courses like this one.

Very interesting and useful course. It gave you background in the most algorithms and data structure. It had changed my mind. One notice here... The assignment some times quite challenging and some of them had taken from me about 5 days, however some of them could be really resolved during 3-5 hours. Thanks!

Loved both Algorithms Part I & Part II, especially since it's also explained how the algorithms are used in actual cases. I learned a lot of things that I didn't learn in my bachelor of computer science.

The coding exercises were exciting and they gave me a feeling of accomplishment after completing them.

Excellent course covering fundamentals in graph theory, string sorting, substring searching, data compression and miscellaneous computer science topics. Definitely a challenging course so be prepared to invest a significant amount of time to really learn the concepts and apply them in the assignments.

Yet another amazing course. I enjoyed both the parts of the course. The assignments are the highlight of this course, they were crafted very well and give the student great insight and a sense of excitement and accomplishment on completing them. My only wish is that there were more parts to this course

This is an absolutely fascinating course. More challenging than part I, it introduces less standard algorithms. The problem sets are a lot of fun and the teacher is as always amazing. Overall, a brilliantly executed course that is immensely interesting and helpful! Would recommend to get the book!

Putting aside from the sense of achievement in completing all the assignments, I learned a lot. Some of the assignments required coding string compression techniques, graph processing, solving games like Boggle and 8 puzzle for large problem sets, geometric problems and more.

Thanks to all of you.