Advanced Algorithms
This MIT OpenCourseWare graduate course covers algorithmic topics beyond a standard introductory course, aimed at doctoral students focused on theoretical computer science. Topics typically include advanced data structures, network flow, linear programming, approximation algorithms, and complexity theory, building on a solid foundation in algorithm design. The course includes lecture notes, problem sets, and exams drawn from MIT's graduate curriculum in Electrical Engineering and Computer Science. Materials are freely available to study at your own pace, with no certificate offered since this is an OpenCourseWare publication rather than an instructor-led session. It suits learners who already know standard algorithmic techniques and want to push into research-level material on algorithm design and analysis, with an emphasis on rigorous proofs and mathematical argument rather than programming exercises.