A Turing machine is a mathematical model of computation that manipulates symbols on a tape according to a set of rules. It can implement any computer algorithm and operates on an infinite memory tape divided into cells. While Turing machines proved the existence of limitations on mechanical computation, they are not practical for real-world use as they lack random-access memory. Turing completeness refers to the ability of a computational model or programming language to simulate a Turing machine.
Carnegie Mellon University
Spring 2015
A foundational course that introduces formal languages, automata, computability, and complexity theories, including finite automata, Turing machines, and P/NP classes.
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+ 35 more conceptsCarnegie Mellon University
Spring 2023
This course provides an initial dive into complexity theory, exploring computations bound by resources like time, space, and energy. Emphasis is placed on low complexity classes.
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+ 29 more conceptsCarnegie Mellon University
Fall 2018
The course provides a rigorous introduction to the foundations of computer science, improving abstract thinking skills and preparing students to be innovators in the field. Topics include computation, computational complexity, and real-world applications of computational concepts. Prerequisites imply this is an intermediate-level course.
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+ 25 more concepts