excelente

Perfect

thanks

THANKS

thanks

Great.

Nice

Good

b

The first half of the course is informative and easy enough to follow. However, the last half (which is all about statistical analysis) I feel could have been laid out differently or could have used more practical examples over theory.

Even if you start with the first course in the series of four for the specialization, this course seems to require more background knowledge when it comes to experimentation and statistics if you want to really understand it.

The order in which things were presented was sometimes confusing. For example, there are instances when terminology is defined well-after it has already been used to explain concepts. For example, things like t-tests, p-values, and 'power' were talked about in Week 3 as if they should already be known, only to be explicitly defined near the end of Week 4.

Also, not a huge complaint, but sometimes it seemed like the instructors relied on the presentation slides a little too much; reading word for word and not expanding on it much.

Good information overall, but the teaching could be improved.

The language is clear. The video edition is fine. The mathematical parts were illustrated fantastically. In my case , practice made master, meaning that I saw the videos several times and searched on wikipedia and googled words a few times. Maybe some ideas would've been better understood if it had been included the use of a special software such as AFNI or SPM, that's why I didn't give the five stars to the course.

Super good! I think the only thing that lacked was that in week 2, there was a lot of reading verbatim off slides which wasn't very engaging. However, in Week 1 and in week 4 particularly, I really enjoyed the analogies and explaining of the context. TBH the best part IMHO was the explanation of the physics of fMRI and the spinning top example. Overall great stuff!

The course is very interesting, well designed and useful. The only negative point is that sometimes topics are introduced without focusing on the details, which I found usually useful to understand the big picture. However, this is not a major problem because you could always look up to different resources online.

Thank you for the course. If I want to correctly rate it, is somewhere between 3 and 4. I think the chosen topics were very good. The slides and examples were very good too. However, as I am a medical doctor the mathematical point of view and the rate of the speech in that parts were a little bit confusing for me.

A lot of content are mathematical concepts behind the data acquisition. I would like to learn more regarding the data acquisition per se. But overall, the course has given me the principle idea of fMRI and its advantages in comparison to the other imaging techniques.

This is not a beginner's course. But if you are serious about starting a functional MRI study or project, it is a good place to start and prime your brain about the new jargon associated with this field. Strong background in mathematics or statistics is recommended.

The course is well structured and provides very detailed information, but it's also very fast-paced, which now and then makes it difficult to follow (especially for non-native speakers). Also, a lot of statistical knowledge is required.

Some of the mathematical models and statistical models were hard to understand had I not taken mathematical and statistical classes on my masters. I really appreciated the slides for each individual modules; it made it easier to follow.

Statistics should definitely be a pre-requisite for this course. I study clinical pharmacology and my knowledge of stat was limited to mean, median and mode and standard deviation haha. good course though for whoever studied statistics.

Some questions in the tests were weird, for example, when saying MRI to refer to fMRI. It is hard to know when this is a tricky part in the question or just a generalization you guys are doing. So it happens with other questions.

This course was really useful for me. The faculties gave a basis for fMRI. As the course progressed to 4th week it became little hard to digest because of more technical terms.

Great course which introduces one to the basic principles of fMRI and Statistical Analysis.

Some hands on exercises and projects might help to better understand some concepts.

I learnt a lot from the course, even if it is just a surface understanding. It'll really help with when I need to pick up selective content for reals in the future.

Thanks for organising such course. I am very happy in attending this course. But It would be excellent if some more explanations on the concepts are clear.

Professors explain very kindly, and the contents are well organized. It would be better if they could add SPM practice for the audience. Thank you a lot!