Enjoyed alot

Great course

Very great

very nice

后面简直难死了……

بسیار خوب

excelente

thanks

Great.

b

This is a great course to have available. However, I do think that in order to truly grasp many of the concepts, you need to either have a good baseline statistical background (ie, more than one college stats course), or be willing to spend a lot more time looking up many of the concepts (though many can only be found referenced in papers). For those who are engaged in applied statistics/signal processing, this would probably be fine. The course was very interesting, but I do wish they spent a bit more time breaking down the statistical measures and more examples/figures/analogies to make the course overall more coherent, and encourage a deeper understanding from a big picture perspective. It would be helpful if they had optional supplementary videos that dive deeper into the stats for those who could use it.

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.

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.

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.

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.

Heavier on the statistics than I expected, but that's not a bad thing. A sort of wake-up call that I need to brush up on my biostatistics background.

It should touch with more deeply and wirh more details the maths under the data analytics. I finished the course feeling many things have been missed

In general terms the course is very good. It would be great if they could include at least one real example of each statistic method presented.

Great free resource for beginning fmri researcher. However, you will need a lot more extra study/resources to understand the topics.

It goes a bit too much into the details sometimes. Personal researches are sometimes required to understand what is explained.

I wish this course had a bit more of a practical reasoning that explains us the concrete steps to take when analysing data

Solid introductory course on fMRI, but some kind of interactive assignments and discussions might be useful.

it does not incorporate a lot fo background information and the information is too succinct