Bioinformatics and Proteomics
MIT OpenCourseWare offers this interdisciplinary course aimed at students with a computational or engineering background who want to apply those skills to biological data. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. The course draws heavily on engineering domains, bringing in signal processing, network theory, machine learning, and robotics to frame real biological problems, with an emphasis on current real-world examples and actual implementations rather than abstract theory. Materials include lecture notes and assignments published freely under a Creative Commons license, following MIT's standard OCW format. There is no institutional certificate, but the full lecture and lab structure is available for self-study, making this a substantive route into computational biology for anyone comfortable with quantitative methods.