Great Ideas in Theoretical Computer Science

Drawing of a person in a room, interpreting slips of paper with a rulebook.

Searle's Chinese Room, a thought experiment discussed in lecture 6. (Image courtesy of Tiffany Wang. Used with permission.)

Instructor(s)

MIT Course Number

6.080 / 6.089

As Taught In

Spring 2008

Level

Undergraduate

Cite This Course

Course Features

Course Description

This course provides a challenging introduction to some of the central ideas of theoretical computer science. It attempts to present a vision of "computer science beyond computers": that is, CS as a set of mathematical tools for understanding complex systems such as universes and minds. Beginning in antiquity—with Euclid's algorithm and other ancient examples of computational thinking—the course will progress rapidly through propositional logic, Turing machines and computability, finite automata, Gödel's theorems, efficient algorithms and reducibility, NP-completeness, the P versus NP problem, decision trees and other concrete computational models, the power of randomness, cryptography and one-way functions, computational theories of learning, interactive proofs, and quantum computing and the physical limits of computation. Class participation is essential, as the class will include discussion and debate about the implications of many of these ideas.

Aaronson, Scott. 6.080 Great Ideas in Theoretical Computer Science, Spring 2008. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-080-great-ideas-in-theoretical-computer-science-spring-2008 (Accessed). License: Creative Commons BY-NC-SA


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