Créé par :   Johns Hopkins University, University of Colorado Boulder

  • Martin Lindquist, PhD, MSc

    Enseigné par :    Martin Lindquist, PhD, MSc, Professor, Biostatistics

    Bloomberg School of Public Health | Johns Hopkins University

  • Tor Wager

    Enseigné par :    Tor Wager, PhD

    Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
Programme de cours

FAQ
Comment cela fonctionne
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Créateurs
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Notation et examens
Note moyenne 4.5 sur 5 sur 117 notes

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

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.

Great course. Great overview of fMRI, including the background for statistical tests used.

Great course!