Opiniones y comentarios de aprendices correspondientes a Principles of fMRI 1 por parte de Universidad Johns Hopkins

Excelent and helpful. Great instructors (I like the brains flying around :))

Thank you so much, I have learned many things will help me

A very well structured course starting from the basics of fMRI. It is of great help in understanding what goes into fMRI analysis

An excellent first-look at fMRI analysis, I would highly recommend this course

Very well made, teachers are awesome! Thank you very much for this course that clarify greatly a lot of the principles in fMRI. You will need some prerequisites in statitics sometimes.

need some fundamental knowledge in stats and then you will get more from this course

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.

Contents were very good and useful!

It was a great course.However I expect more discussion in foro and the proffesors opinion

excellent

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

The phrasing of questions and answers in the quizzes are sometimes awkward.

Great course! Though a bit of more examples through cases would be great.

can add some detail, i.e. proofs

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.

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.

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.

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.

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.

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.

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.

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

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Terrific learning experience!

Very good material but questions not answered in the forums