USC Schedule of Classes

Examine experimental design approaches for experimental and clinical neuroimaging investigation. Topics on how to develop rigorous experiments to test theories of cognitive and clinical neuroscience.

Addresses the current neuroinformatics approaches to large-scale data representations, mining, and visualization in brain imaging. Open only to Neuroimaging and Informatics majors.

Introduction to basic theories and methodological approaches to neuroanatomy in animal models including histology, microscopy, behavioral investigations, and neuroinformatics.

Lectures on human genetics and epigenetics. Discuss how applying these concepts to brain imaging advances our understanding of healthy development and neurological disease. Emphasis on critical thinking applied both to designing neuroimaging genetics studies and to constructively assessing peer work and existing neuroimaging genetics literature.

Basics of data science as applied to neuroimaging data. Topics include neuroimaging data preparation and quality control, basics of programming and statistical models and machine learning techniques appropriate for the analyses of neuroimaging data.

Learn writing and communication elements critical for success in science-related fields, including clear writing, effective presentations and career development skills.