UMD CMSC 702 Entire Class
University of Maryland CMSC 702 Computational Systems Biology Entire Class
An introduction to the fundamental concepts in the computational analysis of biological systems with applications to functional genomics, population genetics, interaction networks, and epigenetics. Computational concepts converted: network and graph algorithms, machine learning, large data/network visualization, statistical modeling and inference, probabilistic graphical models, sparse methods in data analysis, and numerical optimization. No prior knowledge of biology is required.
Note: This entire class includes discussions, assignments, course projects, and exams.