Appreciate the structure and the explanations with examples. The practice tool before every lesson not makes it fun to learn but also sets the student in the context and can anticipate the concept.
Was pretty fun and gave a good intro to graph theory. Definitely felt inspired to go deeper and understood the most basic proof ideas. The later lectures can spike in difficulty though. Very nice!
par Mayank A•
really a great learning on graphs
par K A K•
Graph Theory in its purest form.
par Thành N K•
very useful and so hard
par Nikhil Y•
just amazing course!!
par PRAJUL G 1•
par D V S S R•
par Bhanuprakash B•
par 121910305010 P S K•
par 121910304047 K S K•
par BAINA R R•
par 121910316019 C G S•
par Trần C L•
Too much boring stuff, somewhat poor lecturing, I must say. I only took in a little what I've just learned.
However, 3rd party puzzle is fun and quizzes are ok, new good thing is glossary which reviews the module's contents. These are things that got me understand about graph honestly.
I like the old teacher's lessons, he has many interactive quizzes on it and he seems passionated, others should do it too, it keep my concentration from falling apart.
This course keeps what's good from previous courses, but you guy still messed up the teaching.
par Ethan H•
Not the best MOOC for graph theory, but it got the job done. This might just be my preference as a student, but I find Alexander Shen's lecture style very confusing, and often inaudible. For these sections (e.g. Ford & Fulkerson), I simply watched OCW lectures from MIT. The exercises for the course are a bit on the easy side, and didn't require learning anything beyond definitions (an an occasional theorem). Although I did not use online forums, I appreciate that the instructors are very responsive to questions and concerns. Thanks!
par Yang L•
It is overall a good course. The week 5 part is super confusing. In that lecture, a lot of terminologies are mixing together without proper explain. Like the "cut", it would be nice to explain it is a minimal cut at first place, otherwise one would not know why that specific cut can tell the maximum flow while other cut can't. It will be better to have a clear lecture with more diagram or animation. It's very hard to follow when there only few words on the slides and the lecturer don't follow the slides... .
par Vanya B•
The course content was very good and I found the notebook exercises extremely useful in visualizing the problems. However, I found the instructors extremely boring and the explanations they provide for some of the proofs are very vague and not very engaging. I had to watch youtube videos on the same topic to understand the concepts more clearly. The quizzes were very easy sometimes but good enough for a beginner to graph theory.
par Shamah M Z•
The course allowed learning the relevant topics of the subject, but the topic of Network graphs and the Ford-Fulkerson algorithm should be revised. An example or two of how the algorithm works could do marvel. Also, the concept of the said topics should be better described with the help of appropriate diagrams and simulations. Other than that, the course was really amazing. Thank you, professors!
par Luis M V F•
This course is better compared to the previous two courses. I can state that I liked the first 4 weeks, but week 5 is terrible. I enjoyed implementing the coding assignment, but I would definitely suggest not taking this course because is not really a good course for Discrete Math.
I enjoyed the course up til week 4. Week 5 was just a complete mess with incomprehensible explanations to...well I couldn't even figure out what he was trying to explain. I don't understand why they decided to change the instructor for the final week.
par Alex Y•
Some explanations could be more detailed. The course jumps over important theorems too fast, so there may not be enough time to internalize knowledge for some. If one wants to understand basics of Graph Theory well, external readings may be required.
par M. A•
This course does not cover discussion regarding graph representation using the adjacency matrix. Although there some discussions about graph algorithms, these algorithms are presented using Jupyter and not constructed from scratch in Python.
par Kijin K•
I don't like one lecturer among faculty of it because of sloppy preparation and stuttering . But other lecture material was good like other courses in this specialization.
par Andres H•
Overall good course, but in the last week, the quality dropped significantly. Explanations were not understandable and not convincing at all during that week
par Chris N•
Instructor's English is a bit hard to understand. Especially week5 instructor stammers too much. I really had hard time to follow the course because of it.
par Arjun B•
I would personally liked only one instructor to take the entire course but this method of a number of instructors in also nice
Overall a good course
par CHAN C K•
Good course. The lectures for Week 2 and Week 5 are not well delivered. The wordings used are ambiguous. Kindly improve on the usage of language.