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Voltar para Princípios do fMRI 1

Comentários e feedback de alunos de Princípios do fMRI 1 da instituição Universidade Johns Hopkins

564 classificações
117 avaliações

Sobre o curso

This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data. A book related to the class can be found here:

Melhores avaliações


Jan 10, 2019

It is really easy going and interesting course. With good explanations that keep you on track easily. I really liked it since the begging and it gave me curiosity to undertake the second one


Apr 25, 2020

Really lots of new knowledge,But not exactly not relevent from my field but learn alot new things that very helpfull for my further study.Thank you COURSERA for upgrade my knowledge.

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51 — 75 de {totalReviews} Avaliações para o Princípios do fMRI 1

por Yoojeong C

Oct 20, 2017

I have been enjoying listening !! Thanks a lot !

por william a p

Sep 20, 2017

excellent for my study in radiology best regards

por Donald L G

Oct 15, 2017

Hard for me to grasp well enough for the quiz.

por Juan M M T

Oct 11, 2017

great course very complete and didactic!


Sep 26, 2019

thank you:)..very helpful..:)

por Ahmed M M M R

May 27, 2017

Great course for fMRI basics

por Md K U

Apr 21, 2020

Thanks for this fmri course

por oareii

Nov 24, 2017


por Vasilis I

Mar 06, 2018

Very informative course

por Alon b

May 03, 2020

Was awesome, thanks!

por Mel C M

Oct 30, 2019

Very informative.

por Cibele E B

Jan 28, 2018

Excellent course!

por 刘嘉威

Dec 10, 2016


por Wen X

Dec 26, 2016

Great course!

por Vivek J

Aug 25, 2017

Enjoyed alot


Dec 14, 2016

Great course

por Yanming Z

Mar 28, 2017

Very great

por Pranay T

Dec 23, 2018

very nice

por Renata X

Jan 31, 2018


por farzaneh d d

Jul 30, 2016

بسیار خوب

por David S

Mar 18, 2016


por Esat I

Feb 14, 2019


por Surendra M

Mar 10, 2016


por Sayan c

Jun 11, 2017


por Sam W

Feb 28, 2017

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.