9.07 -- Statistics for Brain and Cognitive Science
Course Description: A survey introduction to statistical reasoning and statistical methods relevant to neuroscience and cognitive science research. Core topics include introductions to probability theory, estimation theory, hypothesis testing, linear models, the generalized linear model, and experimental design. Additional topics chosen from Monte Carlo methods, Bayesian methods, time-series analysis, spectral analysis, and point processes theory. Emphasis on developing a firm conceptual understanding of the statistical paradigm and statistical methods primarily through analyses of actual experimental data.

This class is at the Undergraduate level
An example of a syllabus: 907_2007.pdf
Instructor: E. N. Brown
Prerequisites: 18.01 and 18.02 or permission of instructor

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