Foundations of Algorithms and Computational Techniques in Systems Biology
MIT OpenCourseWare's graduate subject covers the computational methods used to attack problems in systems biology, taught through a sequence of case studies rather than abstract theory alone. Each case pairs a biological question, such as reconstructing a molecular network or simulating a cellular process, with the algorithm best suited to solving it, covering discrete and numerical methods for simulation, feature extraction, and optimization. The material spans molecular, network, and whole-system models, showing how choosing the right computational technique can turn a hard biological problem into a tractable one. As with other MIT OCW offerings, the site provides lecture notes, readings, and assignments from the actual course for self-study at no cost, with no certificate offered. The course sits between MIT's Biological Engineering and Electrical Engineering and Computer Science departments, reflecting its focus on the intersection of algorithm design and quantitative biology. It suits learners who already have some background in biology and computation and want to see how the two fields combine to answer research questions.