Essential Numerical Methods
MIT's half-semester course on computational methods for solving physical problems in nuclear science and engineering. It covers ordinary and partial differential equations for particle orbit, fluid, field, and particle conservation problems, and their representation and solution through finite difference numerical approximations. Topics include iterative matrix inversion methods, stability, convergence, accuracy and statistics, and particle representations of Boltzmann's equation, solved via techniques such as Monte Carlo and particle-in-cell methods. Delivered through MIT OpenCourseWare, the course includes lecture notes, assignments, and problem sets suited to advanced undergraduate or graduate students with a background in differential equations and numerical analysis. No certificate is offered, but all materials are free under a Creative Commons license, making this a rigorous entry point into computational nuclear engineering methods.