Computer Algorithms in Systems Engineering
MIT OpenCourseWare offers this course on computational methods for analyzing engineering systems. It covers data structures, relational database representations of engineering data, and algorithms for solving and optimizing engineering system designs, including greedy methods, dynamic programming, branch and bound, graph algorithms, and nonlinear optimization. The course also introduces complexity analysis and emphasizes object-oriented, efficient implementations of these algorithms. Materials include lecture notes, assignments, and problem sets typical of MIT's Civil and Environmental Engineering curriculum, published under a Creative Commons license for self-paced study. There is no instructor interaction or certificate, but the full set of course materials is freely available for anyone building a foundation in computational approaches to engineering design and optimization problems.