Автор:   Johns Hopkins University, University of Colorado Boulder

  • Martin Lindquist, PhD, MSc

    Преподаватели:    Martin Lindquist, PhD, MSc, Professor, Biostatistics

    Bloomberg School of Public Health | Johns Hopkins University

  • Tor Wager

    Преподаватели:    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
Программа курса

Часто задаваемые вопросы
Как это работает
Задания курса
Задания курса

Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.

Помощь сокурсников
Помощь сокурсников

Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.

Сертификаты
Сертификаты

Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.

Авторы
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.
Рейтинги и отзывы
Оценка 4.5 из 5 по 117 отзывам

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!