3.0

credits

Average Course Rating

Focuses on frequently used quantitative methods in the study of brain sciences. Course goals include gaining conceptual understanding of analysis techniques, application of techniques to datasets, and learning the use of MATLAB. Topics will include dimensionality reduction, information theory, clustering and classification, optimization and model selection, and frequency domain methods. Enrollment is limited to graduate students and undergraduate seniors; seniors must receive permission from the instructor to enroll. Recommended (but not required) Course Background: Probability & Statistics, Linear Algebra, MATLAB programming.