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존스홉킨스대학교의 Principles of fMRI 1 학습자 리뷰 및 피드백

748개의 평가
150개의 리뷰

강좌 소개

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here:

최상위 리뷰


2020년 8월 29일

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.


2019년 1월 9일

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

필터링 기준:

Principles of fMRI 1의 151개 리뷰 중 1~25

교육 기관: Sadoun

2018년 6월 10일

Too much theory. No practice and practical online sessions on SPM for example.

교육 기관: Katrina L

2018년 10월 17일

Simple things are explained in difficult way. Too much definitions, not enough explained in own words.

교육 기관: Zaeem H

2019년 4월 26일

It's not really a beginners course. Reviews most of the important fMRI statistical analysis concepts. Additionally, the information regarding MR Physics involved was invaluable.

교육 기관: Maansi D

2016년 4월 19일

Instructors tend to talk too fast and read off the slides verbatim instead of thoroughly explaining the topic

교육 기관: Francesco C

2017년 4월 23일

Very clear introductory course about fMRI. It touches almost every concept needed to understand an MRI experiment. Many complex topics were explained in a very clear and concise way.

교육 기관: Marcel D S

2018년 6월 26일

Very densly packed course with many great information. Sometimes it went a bit too fast, though. I wish there was a bit more explanation for some of the more advanced ideas. Still a very good course that made me confident to start analyzing some fMRI data that I have at hand.

교육 기관: Catherine S

2016년 8월 1일

Whenever examples were given, things became much clearer, but there often weren't examples. In many instances it would have been nice if there had been a second take of the video taken to prevent potentially confusing mis-speaking from making it into the lectures. Obviously you get what you pay for, and it's great that I got a vague overview of the subject for free, but I easily aced the course without feeling like I'm at all prepared to run an fMRI experiment.

교육 기관: Anthony V

2017년 7월 1일

While I enjoy a tough course, this course was actually pretty tough to follow because of the huge amount of statistical knowledge required to be able to understand each module. I think that the course description was a bit misleading for us because I really thought that we would come across examples of fmri studies for us to interpret rather than get into the statistical aspects of these medical machines.

교육 기관: Aleksandr M

2017년 9월 20일

A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part. Standard undergrad psychology courses in statistics should be enough.

교육 기관: Bushra K

2020년 4월 25일

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.

교육 기관: Alina M

2016년 8월 9일

As a person who actually studied physics and knows a little about data science, I am literally baffled the way information presented and lectures speak. Really don't recommend this cource at all. because Week 1 materals is a imcomprehenisble mess full of incorrect explanation and vague definitions.

교육 기관: chenqingwei

2018년 3월 28일

Very fasinat

교육 기관: Amy O

2020년 5월 19일

I found it hard to follow at times. I would have greatly appreciated some pdf to compliment the videos. There was a LOT of information presented each week, hard to remember it all when it came to quiz time. Given these points, I’m less inclined to do the second course even though I think it would be interesting.

교육 기관: Isabella

2017년 6월 27일

I feel like this course could have been improved with an actual run through of examples, rather than just going by the board, ie. screen capturing the data analysis operations. It was all-in-all very helpful though!

교육 기관: Мария

2019년 9월 28일

Thank you so much! Its not a nightmare anymore when I begin to think about dealing with fMRI statistics! Step by step you opened all tricky (maybe not all but I feel that I am able to face all of them now) moments in this field. I feel really happy that I have found this course and I'm very greateful for such opportunity! Thank to all of the people who are making such opportunities possible!

교육 기관: Getentey

2020년 5월 19일

This is an excellent course. Really helpful for future neuroimaging fMRI studies. Nicely explained the theoretical and practical cases of various fMRI models and techniques. It would be more helpful if the statistical data analysis part was more elaborative or given reference content. Enjoyed the full course and thanks to the Professors and Coursera.

교육 기관: Sabrina K

2017년 10월 4일

Very nice course - very detailed and well structured, thank you very much for offering! I enjoyed all lectures and also learned while trying to pass the quiz ;) ..only a small criticism, sometimes the subtitles have small (verbal) mistakes in it and I prefer having one compact lecture as I could already see it will be made in fMRI principles 2.

교육 기관: Khoa M

2021년 8월 29일

A pretty challenging but interesting course. It also tells me I should pump up my data science knowledge before studying further neuroimaging in the future. :') A small point but I also love this course compared to the previous one as it did not hide available options in the quiz feedback. Thank you so much to the instructors Tor and Martin!

교육 기관: Monica L

2016년 3월 11일

I was incredibly impressed by the way in which Professor Lindquist and Professor Wager were able to take relatively complex concepts, and present them in a way that was engaging and accessible. I would definitely recommend this course to anyone interested in familiarising themselves with fMRI research.

교육 기관: Dorian L

2020년 5월 23일

A really good overview of fMRI experiments and analyses! The course go into details with clarity and is interesting to follow. Although the part of Design Matrices is a bit difficult and I'd like to have some "beginners explanations", this course is a must in a neuroscience perspective.

교육 기관: Klebert T

2017년 10월 17일

It's a fast paced course that presents useful tools to understand fMRI methods and interpretation of findings. There is some mathematical content that will use a background of matrices operations and transformations as a prerequisite. Review some of that and you're good to go.

교육 기관: Dengfeng H

2018년 9월 9일

I personally like this course very much. I have a overview of the basic fMRI techniques from the course. It is well organised and relatively easy to understand. I would like to recommend to others. Also, thanks for the instructors of the this course: you are very helpful!

교육 기관: Janzaib M

2019년 1월 21일

This is course gives a very comprehensive understanding of fMRI technology. The course can be further improved by adding some practical or visual assignments instead of quizzes only.

Thank You, Coursera!!

Thank You, John Hopkins University & University of Colorado Boulder.

교육 기관: Carmen B

2020년 6월 26일

Very interesting with challenging yet foundational information. I had to go over the videos many times, but felt really good when I finally grasped a difficult concept. A good balance between theory ("the why") and execution ("the how"). Ready for fMRI 2!

교육 기관: chenshuai

2020년 10월 6일

it is a very well made course for brain imaging beginners. If there is something need to be improved, I think a bit more practical practices such as data analysis other than the quiz questions would be helpful.