Opiniones y comentarios de aprendices correspondientes a Principles of fMRI 1 por parte de Universidad Johns Hopkins
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MD
8 de ene. de 2023
Taken in concert, the lectures and the reading are thorough if complex. However, this is a complex topic. Probably should be listed as an intermediate course at least, but a very good introduction.
SM
29 de ago. de 2020
It was a wonderful beginning to a topic details of which were unknown to me. Thank you to both the instructors for making the videos crisp, informative and understandable. Thank you very much.
126 - 150 de 154 revisiones para Principles of fMRI 1
por Jérémy W
•13 de mar. de 2017
It goes a bit too much into the details sometimes. Personal researches are sometimes required to understand what is explained.
por Asli E
•23 de dic. de 2019
I wish this course had a bit more of a practical reasoning that explains us the concrete steps to take when analysing data
por Daniel G
•21 de mar. de 2018
Solid introductory course on fMRI, but some kind of interactive assignments and discussions might be useful.
por Derrick L H
•20 de ene. de 2022
A concise introduction to the statistical procedures used to process fMRI data and make causal inferences.
por Diane A F C F
•18 de sep. de 2021
good information on the slides, but the instructors only reed the slides, not any additional information.
por Eduard V
•14 de oct. de 2018
it does not incorporate a lot fo background information and the information is too succinct
por Nicolas D D
•15 de abr. de 2017
It was a great course.However I expect more discussion in foro and the proffesors opinion
por wang l
•25 de dic. de 2018
need some fundamental knowledge in stats and then you will get more from this course
por Xaver F
•26 de mar. de 2020
High-quality information brought to the point. Instructors are a little stiff.
por Veronik S
•26 de sep. de 2019
A basic understanding is necessary, sometimes it is complicated to understand.
por Jerry M
•2 de may. de 2018
The phrasing of questions and answers in the quizzes are sometimes awkward.
por Rodrigo F G
•5 de may. de 2017
Great course! Though a bit of more examples through cases would be great.
por Elvina G
•30 de abr. de 2020
Very good and interesting course, although misses practical exercises.
por Zikou L
•27 de oct. de 2020
Maybe more examples to help understand and to remember the terms.
por JOEL B
•13 de may. de 2020
Thank you sir for sharing your valuable knowledge with us ...
por Tiago A
•18 de sep. de 2017
Very good material but questions not answered in the forums
por Allwyn .
•2 de sep. de 2017
Contents were very good and useful!
por Ying-Qiu Z
•14 de feb. de 2016
can add some detail, i.e. proofs
por José d J d L S H
•14 de ago. de 2020
Encantado de seguir aprendiendo
por Kanika B
•6 de mar. de 2016
Terrific learning experience!
por Diego S R
•15 de nov. de 2017
excellent
por �ADITI P
•22 de ago. de 2020
good
por Gabriela M F
•8 de abr. de 2018
g
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por Vatsal P
•8 de jun. de 2022
The course is a good theoritical introduction to the concept of fMRI analysis. However, there is a lot of room for upgrading its content. I have the following suggestions:
1. Many times I felt that the course assumed that the readers has advance knowledge with respect to mathematical notations and statistical notations.
2. The most anoying part was that it was all theory with very little glimpse of how to conduct those analysis on any of the available software packages.
por Laine D
•2 de jul. de 2017
Very stats based course if that is your focus. Could use some more real world examples in a few places. I would have liked more clinical application and physiology but perhaps that is included in part 2 of the course.
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