Learner Reviews & Feedback for Algorithms, Part II by Princeton University

Very clear explanation

Great auxiliary materials, including programming tasks&specs&testing/evaluation environments, online documents/codes of libs, and the GREAT BOOK

Timely feedback during videos and after submissions of 'homework'

Great course! Had so much fun doing programming assignments. Take your time to visualize the task and write your own unit tests, at least for the simplest cases. That will greatly increase your understanding and productivity.

Sometimes the homework assignments made me want to give up on the course and move on, but I have realized that I have become a better programmer than before and the homework really stretched my problem solving skills

The course is great! I like algorithms, presented in the course, and all the programming assignments. Special thanks to people who developed the tests and the grader for the detailed and well-understandable feedback

The ideas are clear and inspiring, the courseware well designed, the programming assignments educational. There are technical interview questions in each section, so definitely needed for fresh job candidates:-)

Very nice course covering a range of important algorithms and concepts. Well paced and right amount of challenging, interview questions are spectacular, and some of the assignments are very interesting.

This was a fantastic material and for free! So, thanks so much prof. Robert Sedgwick for this invaluable lessons and many thanks Coursera guys for the opportunity! I'm happy I've found these courses.

Essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

Amazing course! Loved the theory and exercises! Just a note for others: Its part 1 had almost no dependency on book, but this part 2 has some dependency (e.g. chapter on Graph) on book as well.

As always, I learned a lot from the courses from Professor Robert. Really great course, and I would like to recommend to anyone who is interested in programming neatly and elegantly.

Really great course, assignments are on point not too hard not too easy, i just wish that we had more courses like this, congratulations to Robert, Kevin and the staff well done.

After learning this course, I found I was never learnt to write a meaningful program before. You let me to think in different way with a more broaden horizon. Thank you all !

This was a great overview of more advanced algorithms, and I also got to prep for interviews and use concepts in actual work. The theory at the end was very helpful as well

The exercise, while is very hard, is very well-prepared and selected for students to understand and appreciate the algorithm. The explanation is descriptive and detailed.

Another great course and perfect follow-up to Algorithms Part 1. I liked that we used the algorithms built in the first part to make other powerful algorithms and tools.

Rich content. Liked the teaching style as well. But wish that it had an as-strong supporting system as Part I's and mentors/fellow students could answer more questions.

Prof. Sedgewick does an amazing job in explaining the mechanics of the fundamental algorithms and data structures. I have thoroughly enjoyed this course (and Part I).

Best algorithms course. Great assignments. The only problem - bad microphone (it was much better in Algorithms, Part I). Must be completed by every IT specialist.

Awesome course. Helped me understand graph better. The API is simple and effective. I implemented the whole API and have been using it in my other graph solutions

"Remind me again why I'm trying to figure out if Detroit was eliminated back in American League '96" - me, at 4:00 AM

"Where is Week 7?" me, a few days later.

I wrote my review on Linkedin. Thank you very much for the great course ! https://www.linkedin.com/pulse/algorithms-part-ii-mission-accomplished-luigi-selmi/

This is an excellent course as an introduction to algorithms. Together with part 1, the Princeton Algorithms series is the best MOOC course I've ever done.

Dr. Sedgewick is simply amazing. I enjoy how he motivates the need for efficient algorithms and applications. I only wish he would offer more courses!

Excellent course and materials about algorithms and data structures. Very challenging exercises that make you think hard to achieve the passing score.

Complex concepts in plain language. Challenging and interesting practice exercises. Without them it's impossible to fully understand theoretical part.