Computational Methods for Neuroimaging

Lecture, three hours. Requisites: courses 250A, 250B. Theory and practice of processing and analysis of functional MRI data. Topics include image registration, preprocessing and quality control, statistical modeling and inference, multivariate analysis, and machine learning methods. Letter grading.

Review Summary

Clarity
N/A
Organization
N/A
Time
N/A
Overall
N/A

Enrollment Progress

Enrollment data not available.

Course

Previously taught
11F

Previous Grades

Grade distributions not available.