In this course, we will take a look at the basics of modern neuroscience research in the twenty first century. The connectome is quickly becoming one of the hottest topics for brain scientists. Connectomics enables researchers to map a brain image to a graph, which opens the door to highly simplified analysis of brain functionality. In this course, we will investigate a particular technique for breaking a functional magnetic resonance image (fMRI) into a simple graphical representation. Course topics will include an introduction to matrices, basic statistical techniques for modern day neuroscience, image analysis techniques, and a simplified pipeline for converting a brain image to a connectome. If time permits, we will look at the outlook of connectomic research in the near future, and what is being done here at Hopkins to study connectomes. If you check out the images, by the end of this course you will have a solid understanding of how we can go from raw brain data to the figures pictured. These figures and their mathematical representations form the basis of modern connectomic research. Course topics: matrices, network theory, correlation, fMRI basics, timeseries extraction, timeseries analysis, processing