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Principles of fMRI 1(으)로 돌아가기

존스홉킨스대학교의 Principles of fMRI 1 학습자 리뷰 및 피드백

565개의 평가
117개의 리뷰

강좌 소개

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:

최상위 리뷰


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.

필터링 기준:

Principles of fMRI 1의 115개 리뷰 중 51~75

교육 기관: Yoojeong C

Oct 20, 2017

I have been enjoying listening !! Thanks a lot !

교육 기관: william a p

Sep 20, 2017

excellent for my study in radiology best regards

교육 기관: Donald L G

Oct 15, 2017

Hard for me to grasp well enough for the quiz.

교육 기관: Juan M M T

Oct 11, 2017

great course very complete and didactic!

교육 기관: APOORVA M

Sep 26, 2019

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

교육 기관: Ahmed M M M R

May 27, 2017

Great course for fMRI basics

교육 기관: Md K U

Apr 21, 2020

Thanks for this fmri course

교육 기관: oareii

Nov 24, 2017


교육 기관: Vasilis I

Mar 06, 2018

Very informative course

교육 기관: Alon b

May 03, 2020

Was awesome, thanks!

교육 기관: Mel C M

Oct 30, 2019

Very informative.

교육 기관: Cibele E B

Jan 28, 2018

Excellent course!

교육 기관: 刘嘉威

Dec 10, 2016


교육 기관: Wen X

Dec 26, 2016

Great course!

교육 기관: Vivek J

Aug 25, 2017

Enjoyed alot


Dec 14, 2016

Great course

교육 기관: Yanming Z

Mar 28, 2017

Very great

교육 기관: Pranay T

Dec 23, 2018

very nice

교육 기관: Renata X

Jan 31, 2018


교육 기관: farzaneh d d

Jul 30, 2016

بسیار خوب

교육 기관: David S

Mar 18, 2016


교육 기관: Esat I

Feb 14, 2019


교육 기관: Surendra M

Mar 10, 2016


교육 기관: Sayan c

Jun 11, 2017


교육 기관: 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.