- Image Processing
- Statistics
- R Programming
- Experiment
- Neuroscience
Neuroscience and Neuroimaging
Completed by Chiung-Yu Chang
December 31, 2022
Approximately 1 months at 10 hours a week to completeChiung-Yu Chang's account is verified. Coursera certifies their successful completion of Johns Hopkins University Neuroscience and Neuroimaging Specialization.
Course Certificates Completed
Fundamental Neuroscience for Neuroimaging
Principles of fMRI 1
Principles of fMRI 2
Introduction to Neurohacking In R
What you will learn
Learn about fMRI data design, structure and acquisition.
Familiarize yourself with fMRI Artifacts and types of noise.
Learn how to read/write images of the brain in NIfTI format.
Learn about Magnetic Resonance Spectroscopy.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Fundamental Neuroscience for Neuroimaging
Johns Hopkins University
Taught by: Arnold Bakker
Completed by: Chiung-Yu Chang by September 25, 2021
4 weeks of study; 2 hours per week
Principles of fMRI 1
Johns Hopkins University
Taught by: Martin Lindquist, PhD, MSc & Tor Wager, PhD
Completed by: Chiung-Yu Chang by October 30, 2021
Principles of fMRI 2
Johns Hopkins University
Taught by: Martin Lindquist, PhD, MSc & Tor Wager, PhD
Completed by: Chiung-Yu Chang by December 16, 2021
Introduction to Neurohacking In R
Johns Hopkins University
Taught by: Dr. Elizabeth Sweeney , Ciprian M. Crainiceanu & John Muschelli III
Completed by: Chiung-Yu Chang by December 31, 2022
4 weeks of study, 2-4 hours/week