This was a fun and interesting course. The most challenging but rewarding course of this specialization. Learning about graphs and their search algorithms was really interesting, I want to look into graphs and TSP problems more. Basically building a graph from scratch was an amazing and rewarding experience. I definitely recommend this course!

For me, it is easier to grasp algorithms that are written out than audio/video description. I would have given 5 stars if the course material accommodated different learning styles for each chapter. I had to do a fair amount of searching for information on the A Star search algorithm to the understand the subtle details.

Good course to build confidence in building a class from scratch.

But, I expected more from this course. A few lectures could have been devoted to popular design patterns used in Graph problems maybe.

One more assignment to actually make the students work on heuristics for solving NP-Hard problems would have been helpful.

As usual, I really love this specialization, but I didn’t rate 5 stars, I feel like the videos are fewer to help go through the project. I was stuck in week 4 and it is really really challenging, but I do enjoy the process to figure out all the details and think it over and over again. Thanks UCSD professors ;)

Really hated "Just guess the closest of the multiple choice if your answers don't match. It's not always exact." as quiz instructions. That was just horrible. Figure out some better way of grading it.

The rest of the course was lovely, challenging and fun. I especially enjoyed the NP section.

It Helped me a lot to study different algorithms and concept challenges. The Only Problems was regarding debugging an mentor help which was totally disregarded. Worst Experience in Case of mentor help in Coursera elsewhere course was something one couldn't imagine of and had fun coding.

Course was well paced. Assignments were relevant. Only shortcoming I believe was that the last two weeks of the course did not require any submission of a coding assignment. Only required a quiz.

I feel that the course would benefit from a requirement to submit some code each week.

Beautiful course. I only disliked not being explained anything regarding the GUI used and how everything was created. But in terms of algorithms and advanced data structures, it was lovely. I highly enjoyed learning about graphs, traversing algorithms, complexity theory and the like.

I give really high marks for this course as the graphs are presented in a proper and practical manner. I have a suggestion to present the High Level of Graphs more in the area of Information theory. Otherwise it is nice approach and very good implementation of the material and exams.

A great course as the previous courses for the specialization. I know that the week 4's materials are out of this specialization's scope but I think it's alright to delve in more about P and NP problems. That material is somehow still incomprehensible for me.

Very interesting programming assignment for the BFS, Dijkstra and A* methods. Great job with that.

The coverage of the TSP was weak -- room for improvement there. Perhaps include a programming assignment.

Overall, the course was a worthwhile investment of time.

The course content and presentation was excellent. I love the large-project format of the classes in this specialization. I only wish this course had more resources for working offline, at a level that matches the previous courses in the specialization.

Overall, I enjoyed this course. Especially from week 1 to 3 where the course contents were simply amazing.

It would be great if week 4 and 5 can engage the students like week 1 to 3, and the forum can be more alive.

Thank you.

Finally no repetitions any more, and some better assignments. These could still use some work, because I generally find them way too easy. Best course in this specialization so far.

This course was excellent! I learned so much and I am now able to understand the significance of knowing how Algorithms and Data Structures are related in a practical way. I

At first the course is hands on, later on it becomes more of theory. This would have been a challenging course if we had more harder graph problems to solve though.

It was a very good course and I learned a lot about graphs. But the student who takes this course needs strong programming skills in Java and week 4 is tough

I like this course. It helps me to break my fear of using complex data structure. It changed my approach to complex problems. Thanks to the Instructors :)

This is a really useful course. The project is quite relevant, and the work with breadth first search, Dijkstra, and A* Search are really interesting!

The last week extension was great, but I was a bit disappointed when the assessment was only to review what they did rather than submitting the code.

This is an awesome course with great stuff for learning and practical graphs concept in programming with some useful algorithms like A*.

It was very interesting to learn in-depth graph data structure in Java. Access to the interactive JavaFX application is a bonus.

Last weeks should had have a programming assignment, too. When the assignment is optiomal, it becomes a really hard work to do.

It's a great course for getting started with Graphs but for an "advanced data structures" course, this is as basic as can be.

peer-view maybe cause the lateness of my certificate and maybe i should pay more money even if i have finished the course.