This course really enhanced my understanding of collective intelligence, however, it would be great if instructors provide lecture slides also to revise the course whenever required.
A Crisp yet effective overview of some of the most critical works in the field of Networking. Anyone from the fields of Management, Sociology, Anthropology et al should try the MOOC.
par Daniela B•
I LOVED IT
par Yijun C•
As far as I am concerned, this course is helpful. It gives me some understanding of social behaviours from a higher level. For example, social norms can not only be regulated by centralised authorities but also be naturally formed by people involved in social network (our society). Additionally, it talks about how network structure can affect the contagion. Also, different kinds of contagion will have different performances in the same network structure. However, the contents of this course doesn't include extract mathematical model. I hope it can tell us something related to math, which could explain the social phenomenon in a more analytical way in the next version!
par Siddhi G P•
This is a really good course for beginners, and it gets across some great and important ideas very intuitively (even without getting into very rigorous analysis, it does a great job). It would really help if some more material on using NetLogo could be provided, but overall this is a great course.
Great course, through this course i learned a few things on how people interact. Ideas in this course are not only applicable to people, but also diseases, problem solving and many more. I highly recommend to all managers and others interested in policy or human behavior in general
par Laurent G•
I found this a very good introduction to network dynamics. The problems addressed are very interesting, and explanations are very clear. One drawback is that it is not very technical, but in the allotted amount of time it would not be possible to cover so much ground otherwise.
par Thomas K A W•
The course gives a very good overview of the main insights and is enjoyable at the same time. Great course that would deserve a five-star rating if it would not be for the many typos, incomplete sentences in the tests, and errors in the videos.
par Jean C•
Very good topic and teachers' expertize. It is a pity that the "rules" used in teh simulations are not made explicit, leading to some doubts. Also, could go a bit deeper in the influence of key network parameters.
par Sunil K•
Content is neatly laid out, not mathematically rigorous as I believe course is targeting a wider set of audience. Week 2 material can be improved with regard to clarity about the different types of networks.
par Milad y•
For me, from a non-mathematical background, it was an excellent introductory course. I wish it can paw the way for more in-depth exploration around the issue and advance steps.
par ramya h•
An good course that will provide gist of Agent Based Modeling with out dragging it too long. Introduces an Agent Based Modeling software NetLogo with examples and codes.
par Bruno V•
Great content and short/objective videos. One only comment is that, sometimes, the implementation of the models is a bit unclear.
par Christo Z•
very good overview. i'm missing the maths behind the theory which will enable me to apply the knowledge to own problems
The course is great! It will be greater if there is more detail information about the coding of NetLogo.
par Raquel R d M G•
Awesome material and lessons. Only could not have five stars because could not download Netlogo models
par YAO E M K•
It was a very good class and I learned a lot. Thanks for sharing and continue the good job.
par Teemu P•
Extremely timely and well taught course. I only wish we did some Netlogo coding as well!
par Rhythm G•
Add more content and please share more NetLogo Coding examples
par Andrew Z•
I whould like to have more of the models practicing.
par KARINE L•
Very good introduction to the topic
par Mylene v d K•
I left a mediocre review on this course but it does not show up. I feel like I have to write it again, if only to check the system for review bias/corruption. The course subject was interesting and the instructors were pleasant to listen to. My main concerns were that it was not that focused (introduction to theory, example in netlogo) and does not lead to a feeling of having a foundation to either abstract the concepts for modeling or learning the modeling techniques. The concepts that are explained are relevant but terminology is used in a confusion way, leading to a mismatch in intepretation when reading additional social science or modeling techniques. No focus on mathematics whatsoever. Might be good knowledge for somebody who works with influencing people like a social media manager. Not sufficient enough as a scientific foundation.
par Rafael R S•
Too much theory, it needs to be a more practical application approach. Give challenges and real exercises to students, real problems to be tested. Give more details about the software used in the course and its features, etc.
par Roy L•
interesting description of application of network analysis to social dynamics. However it could be improved a bit to discuss the models more in-depth
par Apoorva P B•
It's too bare-bones and not very challenging, but talks about very interesting concepts
par Awani B•
I felt that the course could be better in terms of the tests/assignments which could have some basic problems to model. It would definitely help to better understand how netlogo works and the thinking process behind modelling social phenomena. I also suggest that more reading materials be given as it helps to connect with the research aspect better.