Need more graphical illustrations with colors when explaiing complex details

Great Course to learn fundamentals of Graph Algorithms.

The video lectures are bdaly illustrated. It is very hard to follow. It is better to read books.

The teaching quality is very average and mediocre at best.

The assignments are merely implementation of lectures .

The Stanford and Princeton courses on Algorithms are better courses to take for one to pursue a serious study of Algorithms.

There is no pdf for week five exercise.

Another great course! I started this one right after completing data structures and found it particularly interesting as graph problems seem to pop up everywhere in our modern, networked world.

Compared to the data structures course this definitely felt easier, however this may be down to me being more comfortable with my chosen language as well as with the overall process and structure of the assignments. Nevertheless there are some fun problems here that have connections to problems in the "real" world.

As a side note, I recommend doing the data structures course before this one, as some of the algorithms discussed rely on data structures, so understanding them and better yet having them implemented already will help a lot with focusing on the new material and passing the assignments.

Thanks again all the teachers for the great course!

This was a really excellent little unit. I really appreciate going over all the algorithms in this course and I have a better understanding of how we explore graphs to find valuable information. I really enjoyed the challenge optional week as well. I felt less stress to complete it since it was optional, but it was still very challenging and I couldn't complete it (even though I really tried). I feel the challenge optional week may need to be made slightly easier though to give people who are normally busy to get a chance to try and solve the problems in it (it did eat up a lot of my spare time). Excellent work, great course (wish I knew contraction hierarchies better, been reading some papers but still unsure of how to best implement it).

It was fantastic. Lectures were great and assignments were enlightening. While I was tempted to remove a star due to poor (actually 0) response on the Forum to any of the questions I have asked, I realized that most of the questions I had were already answered before by someone else on the forum. However, I do suggest the team to please make it a point to respond to questions on the Forum. It seems like it is dead for now, and you might as well remove the Forum and archive the older content to something like FAQ.

I have always been enthusiastic about the Various Data Structures and their Real Life Apllications, and the concepts of Graphs were amonst my key interests. The mission is accomplised as I completed this course, I feel more confident in exploring the Vast concepts of Graphs. A GREAT HEADSTART to my ventures of learning graphs , cannot be better than this course if u had always struggled to find the Best Teachers to teach u amamzing concepts

Great material! The 6th week is tough though (I think that was the first time in the course they grade your solution with real world datasets - graphs that goes by millions of nodes) - I only managed to finish bidirectional Dijkstra before bailing out (for the record up until now I had finished every single programming assignment before this). I won't say it's a bad thing, cause I cruise through week 1-5, so having week 6 is rather humbling.

Fantastic course! I am new on graph algorithms and this course totally mesmerized me. The course material is just right for me , neither too difficult nor too easy. And the programming task is challenging and I like the way the test cases not shown to us because it pushed me to think of strange or rare case on which my program may fail. I really learned a lot from this course! Thanks to the instructors!

This was one of the more challenging course in the specialization. Learnt a lot about graphs, traversing, running time, shortest paths, minimum spanning trees etc., Most of all the problem statement gradually became challenging and we had to actually model the problem statement to fit the algorithm. Do not leave the course in between because it becomes a lot harder to quickly resume where you left.

This is my first course on Coursera. Not only that this is first time I have learned any algorithms course officially. I was little afraid first to directly jump to third course in 6 course package. The instructors are very good and the assignments are superb. I am looking forward to complete the remaining all extra assignments in the course to make maximum utilization of learning.

Great course! Even though I am not a programmer and didn't do the other courses in the specializations, I could still go through this course with only a small amount of personal research on data structures (which are covered in previous courses of the specialization). Assignments are fun and challenging. Strongly recommended for anyone interested in graphs. Thank you guys.

This course is enough for a beginner to actually understand what a graph is and how to think a problem solving approach for problems with the help of graphs. It not only tells a detailed knowledge about graphs and algorithms but also develop thinking of problems in a graphical way which is very impressive. I am fully satisfied with this course.

This is an interesting course, which is closely related to the graph theory in mathematics. As the previous courses, programming assignments are given every week but it is slightly harder than before. Some pseudo codes are not that easy to convert into the programming language. Yet, it is one of the excellent courses in Coursera.

Very useful and thorough course for computer scientists and serious software engineers. The assignments are excellent requiring deep understanding of the subject matter. The instructors are very competent and their approach in mathematical proofing of the underlying algorithms is perhaps what sets this course apart from others.

It was one of the best course. The problems in the programming weekly assignments were very carefully designed. All the mentors were really amazing and having in-depth knowledge in algorithms. I thoroughly enjoyed the course and I feel I am much more comfortable tacking graph problems and solving them efficiently. Thank you!

Maybe there are lot's of graph courses out there but this course is one of the best ones because it's main focus is on intution and give you the ideas behind the algorithm I think if you wanna make a solid foundation this course is for you go through it explore the content and enjoy the way which it is designed

Outstanding. I highly recommend paying for this course instead of auditing it, so you have access to the graded homework assignments. The problems are ingenious, and so much fun I wish I could do them again. Without doing the assignments, I wouldn't have learned as much as I did. It's well worth the money.

This course is very informative and gives an amazing experience learning about graphs and their uses.

It covers alot of topics like BFS, DFS, Djikstra, Prim, Kruskal, astar which are VERY IMPORTANT to understand for any CS student.

I am highly grateful to the teachers for making such a wonderful course.

Excellent course! I am happy that I got an amazing opportunity to fill all the knowledge gaps and become more confident to solve a wide variety of graph related problems! Assignment were super useful to develope problem solving, debuggin skills. Kudos to the organizers and lecturers!!

Fun course, well done. Overall I felt the class materials were very handled in this course. Further, it was tightly focused on a related set of algorithms where knowledge of each built on preceding knowledge well. Everything I need from a distance/on-line course and presented well.

Great content, great problem sets.

Minor issue. sometimes transcript at the bottom of video were incorrect or says [INAUDIBLE]

Link for Week 5 instructions were missing from Instructions page, and students need to hunt for it from the forums where other students posted the link.

Good course with clear explanation on core concept. The pseudo code can be easily translated to language of choice. The proof of the algorithm help build core understanding of graph theory and can be used to create custom algorithms for different industrial implementation.