Awesome !!

Very good

Useful

useful

great

G

The course was awesome but the "Algorithms on Graphs" course the month after has some ridiculous extras. Since the course hereafter will have additions related to how Graphs are used in the real world today - I have to give this current course 4 stars. I can't comment on the next course but I think talking about how graphs are used in RL is immeasurable. Good Luck. I do hope you give this course a chance if you're interested in Graphs or looking for a refresher like I was.

This a great course for revising algorithms on graph. Assignments are also good for understanding problems better. You can do this course in a day or two . It is that much understandable. Also you can do submission on any programming languages from c++, python, java which is rare on any other course on Coursera. But if you want to learn from scratch then please also refer external reference for algorithms.

Lectures were very clear and assignments were really helpful for me to understand gist of each algorithms. This course, however, only covers 1. Basic concepts of Graph, 2. Shortest Path, and 3. Minimum Spanning Tree which doesn’t seem to be rich.

With more diverse and interesting problems associated with Graph included, I strongly believe that students will get much from this course.

Thank you

The course contents and assignments are clear and well-structured. Compared to the algorithms & data structures courses, this one was a lot easier (for me anyway). I would have liked additional content on, for instance, (Markovian) grids/fields, but perhaps this will be covered in the 'advanced algorithms' course.

Great course, would have been better, if authors added more assignments and material to study as graphs have so many applications. Anyways, I do believe that motivated learners will go ahead and find more challenges for themselves. As always, thanks to all the instructors, keep up the good work!

Very useful course with clear presentation of material. Removing 1 star for lack of recent feedback, even if missing link to programming assignment's problem statement file is reported. One shouldn't have to fish around in forums to find it!

I have finished the specialization. This course is mostly useful though challenging. I wish there were less overly theoretical lectures and more practical examples and assignments instead. Textbooks already have theory.

Overall good course, programming tasks are fun!

However, some of the video lectures are only of average quality. Accent of the TA is sometimes confusing (fyi I'm not a native speaker).

Awesome course! Learned a lot about graphs, and I thought it was super awesome. One recommendation is to make the proof videos more engaging, but otherwise, the course was perfect!

Very interesting and well presented course. I particularly wanted to learn more on graphs and this helped me get not only a basic but a more advanced understanding.

Perfect as previous courses of the specialization. Just basic graph algorithms were given. I'm inclined to believe, it was introduction to algorithms on graphs.

Fairly good course. I wish the edge cases for some of the programming assignments had some more discussions. Needed some sifting through the forums while stuck.

this course provides the simplist way to explain algorithms, but more exercises may be helpful to improve understanding of topics.

I never a reply when i ask a question on the discussion forum, kindly improve this, otherwise the course was great.

This course is easier than the previous three, but will help in gaining basic to intermediate knowledge on graphs.

Rather easy course. But week^(which is optional) is not that easy at all, covering more interesting algorithms.

Great course for learning or revisiting the concepts of algorithms on graphs. Definitely recommend it.

Week 5 Instructor's accent is quite difficult to get, otherwise overall course is good.

It's worth!!!

Good course , nice assignments , a little bit more of explanation might be helpful for beginners