Greatly insightful and resourceful content for future research. As a recent university graduate interested in graduate school I found the course challenging meaning determination and consistency contributed to the successful completion of the course. Rewatching lectures and seeking external support helped me comprehend concepts through application.

Very interesting course, I raccomand it. It gives me a lot of notions and different view of networks, even if I'm already working with them. Very notable also the lot of references by which you can expand your knowledge and look for all the details of the field you are interested in.

Keep attention on the level, it is not for beginners :)

It's a quiet complex topic in general terms. It is well covered, but In my opinion there should be at least an exercise per video, explaining something similar to the in-video questions. It should have a demonstrative part rather than just talking about it and showing the formula.

Great course, a bit complicated sometimes. The course is very structured and the classes are ordered is a natural way. The tests weren't hard and I think the course could focus more on experimental exercises.

Excellent course. The labs are the best. Pajek and Gephi will be handy for network graphing and analyzing data. Thank you Professor Matthew Jackson. Your work is very good for reference.

Interesting survey of modern network theory, from Erdos-Renyi random graphs, to SIS ("flu") models, and games on networks. Rather academic at times, without the rigour.

The course is vast. The Professor is to the point and doesn't lack knowledge in his field.

I'd recommend this course for anyone interested in Economics. Loved it.

I loved everything so far, the quiz questions are well selected, but, I believe there are some notions which should be explained further mathematically.

Very complex topic, very well presented. The materials are great! Would have been better to made mathematics pre-requisite clearer.

Some quizzes have wrong answers, but overall it was quite a good introduction into network analysis.

I request Prof Jackson to speak more directly into the mike. At many points he is not audible.

Some modules were really useful to create solutions for my professional challenges.

Hohes Anforderungsniveau, mathematische Fähigkeiten sind zwingend erforderlich.

This course is very good to introduce to the theory of networks

It's very useful if you want to learn more anout network.

The discussion forums ought to be more responsive

A bit tough, but really worth the effort.

I'm sorry, but this course is really boring. Hopefully this lecture give more interactive approach (like animated presentation, pop up question, and so on) rather than voice of text in the slide

the content is good but without basic knowledge of network, it will difficult to understand

the narrator is extremely boring and the explanation is not clear at all.

I expect to learn something new but it bored me

Not that the course is bad, but it's not what it seems. Contrary to what the title suggests, it's not an analytical course focused on applied social sciences, but a specialization in graphs for mathematicians. Similarly, the title and prospectus of the course say "an architecture course," but the content is "structural calculation in mechanical engineering".

hola! me gustaría darme de baja de este curso. NO fue una buena elección.

Without previous knowledge in math, this course is not very useful.