ECE 2556 - NEURO-SIGNAL MODELING AND ANALYSIS
Minimum Credits: 3
Maximum Credits: 3
This course will focus on statistical theory and practical application related to brain imaging analysis. The topics will include statistical inference, analysis of variance, Bayesian analysis, likelihood and factor analysis (exploratory and confirmatory).The content ranges from the traditional to the contemporary. While specific applications are not treated, this course is strongly motivated by bio applications, especially in computational neuroscience. This would be a graduate level course taught through hands-on examples and tutorial data sets and cover the theory and implementation of these methods.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
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