Parallel and Sequential Data Structures and Algorithms

Diderot

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Course Calendar

Overview

15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable across a wide variety of problem domains, and transferable across a reasonably broad set of programming languages and computer architectures. This course also includes a significant programming component in which students will program concrete examples from domains such as engineering, scientific computing, graphics, data mining, and information retrieval (web search).

Unlike a traditional introduction to algorithms and data structures, this course puts an emphasis on parallel thinking — i.e., thinking about how algorithms can do multiple things at once instead of one at a time. The course follows up on material learned in 15-122 and 15-150 but goes into significantly more depth on algorithmic issues. Concepts covered in this class include: