Entire THEORY OF COMPUTATION Revision in 45 MINS! Exam Preparation

What if I told you the limits of what computers can and cannot do were discovered decades before Python, JavaScript, or even the first microchips?

Welcome to the Theory of Computation (ToC) – the foundation of Computer Science.
In this video, we decode the soul of computation: how machines think, solve problems, and why some problems can never be solved, no matter how powerful AI or quantum computers become.

In this complete explainer, you will learn:

Finite Automata (DFA, NFA, ε-NFA) – the machines behind compilers, regex, and password checkers.

Regular Expressions and Languages – why regex powers text search, compilers, and even AI prompts.

Context-Free Grammars and Pushdown Automata – how compilers parse code and handle nesting.

Turing Machines and the Halting Problem – the blueprint of modern computers and the boundaries of computability.

Recursive vs Recursively Enumerable Languages – why some problems are decidable and others are not.

Complexity Theory (P, NP, NP-Complete, NP-Hard) – the unsolved puzzle that shapes AI, security, and future computing.

Why watch?
This is not dry math—it is the logic that powers your compilers, search engines, programming languages, and AI. Once you understand ToC, you will see the hidden rules that govern everything from Google search to antivirus software.

Perfect for computer science students, exam preparation, and anyone curious about how computation truly works.

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