TOC 2. Master the Core Concepts of Computing Theory: Formal Languages, Automata, and Complexity 🚀

Explore the fundamental ideas behind the Theory of Computing, including Formal Languages, Automata, Computability, and Complexity, with insights from Turing's groundbreaking work.

TOC 2. Master the Core Concepts of Computing Theory: Formal Languages, Automata, and Complexity 🚀
TOC 2. Master the Core Concepts of Computing Theory: Formal Languages, Automata, and Complexity 🚀

About this video

Class on Central Ideas of Theory of Computing - Formal Language, Automata, Computability, Complexity

References:
Turing, A. M. (1936). On Computable Numbers, with an Application to the Entscheidungsproblem.
Sipser, M. (2012). Introduction to the Theory of Computation.
Hopcroft, J. E., et al. (2006). Introduction to Automata Theory, Languages, and Computation.
Linz, P. (2016). An Introduction to Formal Languages and Automata.
https://personalpages.bradley.edu/~young/CS612M118old/L0a.pdf
https://en.wikipedia.org/wiki/Chomsky_hierarchy
https://hips.hearstapps.com/hmg-prod/images/noam-chomsky.jpg

0:00 Theory of Computation
0:34 Formal Languages
0:55 Grammar
1:39 Automata Theory
2:19 Computability Theory
3:24 Computability Hierarchy
4:57 Complexity Theory
6:32 Motivation for studying computability
7:38 Need for mathematical modelling
8:52 Coffee vending machine
10:38 Finite automata
12:19 On/Off switch
14:06 Lexical analyser
15:14 Problems with solutions

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Views

89

Likes

3

Duration

19:19

Published

Oct 1, 2025

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