Thanks coursera for providing this course, unfortunely I have quit without finishing, because the structure of this course was confusing to me, the subject of contents are incoherent or at least not for student who is new in this field. Another opinion is that the quality of videos has quite some room to be improved.

Game theory tries to solve an interesting subject with methods that rely on assumptions of optimization that are not necessarily true in real life. Instructors gave practically zero examples of cases where the application of these methods worked.

This course was pretty terrible: there was actually very little content outside of a bunch of definitions and overly-complex formalism for the sake of formalism (i.e. the formalisms provide no actual mathematical insight into the topics).

I could not solve the first questionnaire because the topics were treated shortly during the first week of course. In particular, I have not received specific instructions on how to find precisely a dominant strategy.

Very poorly executed. Lot's of errors in videos which should have been re-shot not just had corrections placed on them in subtitle form. I learned more from YouTube videos

needs to be edited. so many mistakes it almost seems as if the lecturers are rambling. could also be more concise

terrible lectures. very poorly explained subjects. You're better off reading a wikipedia page.

Very formal and difficult to follow. Not for beginners. Not recommended for pros.

Not practical, difficult to see how you would implement in everyday life

This is clearly not a beginner level course

monotonous

Much too academic for a layman - I thought it would offer more interesting insights into real-life issues instead of endless abstraction.

Definitely not for begginers. Goes deep from the very start, with lots of maths, without proper explanation of the terms used.

Difficult to pass the quizes based on the lectures as they are very theorotical and quizes are practice examples

Difícil compreensão das equações e fórmulas matemáticas apresentadas

the professors are so boring

Very obscure course!!!!!

Pesimas explicaciones

didnt understand much

No good.

I recently completed the Game Theory course by Stanford on Coursera, and I genuinely enjoyed the experience. The course does a fantastic job of breaking down complex concepts like Nash Equilibrium, Mixed Strategies, and Repeated Games in a way that's approachable and engaging. One of the aspects I particularly appreciated was how the instructors used practical examples—like auctions and competitive business strategies—to make abstract ideas relatable. This kept the lectures interesting and helped me see how game theory plays a role in everyday strategic interactions. The problem sets were challenging but rewarding. They pushed me to think critically and apply the concepts I had learned, which significantly reinforced my understanding. Although I don’t have an advanced math background, the explanations were clear enough for me to keep up, though brushing up on basic probability would definitely help for smoother progress. Overall, this course has been an intellectually enriching journey. I’d recommend it to anyone interested in decision-making, economics, or just looking to develop a new way of thinking strategically.

I really enjoyed the course, which I pursued, at a time, I was commencing a project on multi-agent systems. Basically, two opponent robots and how they'd "strategise" against each other, for different tasks.

The lectures/quizzes/ course structure were a HUGE boost to formulating and well, I wouldn't' go as far as saying, solving, but moving towards solving the research problem, as this course helped me understand the technicalities of game theory as well as develop an intuition towards the approach.

One more point I'd raise in praise, is how, as the instructors are from diverse backgrounds, it lends a certain universality to thinking about the applications that come with every week's module - which, is contrary to my usual style of learning, but in this case, mind-expanding.

All in all, I really enjoyed the structure, and look forward to learning and applying further in my doctoral studies. Thanks a lot to the instructors and Coursera for giving me the opportunity to do so!

Very challenging and very interesting!

This is the hardest and most interesting course I have ever taken!

I have taken a few courses online in the last few months, as I believe in such a complicated time when even the most obvious logic is killed every day, we need to keep our brain sharp and our society united and tolerant.

Only a continuous dialogue and the awakening of human intelligence will save our societies.

After studying Game Theory again, I am more and more convinced that most of the so called "social distancing regulations" taken by Governments worldwide, are not only illegal, but also totally inefficient in the sense of not optimizing the outcomes for all stakeholders (either we consider the Pareto optimum or a Nash equilibrium), and creating strong economic and social distortions.

I will come back on this topic later on. Open about discussion with whoever is interested about the topic.

I think this course covers the basics of Game Theory well. The three professors are competent and explain the topics well. I also enjoyed the assignments because of their practical nature.

If I had to name possible improvements I would suggest three things. One of the professors tends to talk very fast and is hard to follow sometimes. While I enjoyed the assignments more real world examples and applications would have been nice. Finally, I think the last week before the final assignment (week 7) about coalition games felt a little bit rushed and I had a hard time doing the assignment based on the video lectures alone. I had to use external materials to finish the assignment. Of course, that is totally acceptable, but I didn't have to do that for the prior weeks which were self contained.

While I think the course material is really good for someone who has had a taste of game theory in the past and works as an excellent prerequisite to the advanced topics, the mathematical proofs should have been given more weightage. In addition, Prof. Yoav should work a little more on improving his explanatory skills, and giving some background before getting into algorithms that are derived from the field of computer science. Some additional readings and citing sources for certain topics would be useful for people wanting to read up more (like Prof. Jackson did for the proof for the Shapley Value). All in all, a pretty resourceful course.