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# Theory of Computation part 2

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## About Course

#### Theory of Computation part 2

The Theory of Computation is the study of the power and limitations of computing machines. It is closely related to the fields of mathematics, computer science, and engineering. It deals with the analysis of algorithms, their power and limitations, and their application to problems in computer science. The theory of computation is based on a mathematical model of computation, which is a formal language that describes how a machine can process information. It is used to analyze the complexity of algorithms and the complexity of the problems they can solve. It can also be used to study the properties of computing machines, such as the speed of computation, memory requirements, and the amount of time needed to solve a problem. The theory of computation can be divided into two main branches. The first is the study of formal languages, which are used to describe algorithms and the computations they can perform. The second is the study of algorithms, which are the steps taken to solve a problem. The study of formal languages uses formal systems such as finite automata, Turing machines, and recursive functions to analyze algorithms and the logic behind them. It is also used to prove the correctness of algorithms. The study of algorithms consists of analyzing algorithms for their complexity and for their performance. This involves studying the time and space complexity of an algorithm, as well as its memory requirements. Algorithms can also be studied for their correctness and their usefulness in solving real-world problems. The theory of computation is also used to analyze the power of computers and the limits of computation. By studying the limitations of computing machines, researchers can understand the power of computers and the complexity of the problems they can solve. This knowledge can be used to develop more efficient algorithms and to create better computer systems. The theory of computation is an important field of study that has helped shape the development of computer science. It is used to analyze algorithms, study the power and limitations of computers, and develop more efficient algorithms. It is an essential component of the study of computer science.

This is an introductory course on the theory of computation intended for undergraduate students in computer science. In this course, we will introduce various models of computation and study their power and limitations. We will also explore the properties of corresponding language classes defined by these models and the relations between them. It is designed based on the syllabus given by the GATE Computer Science exam.

The Course contains a formal connection between algorithmic problem solving and the theory of languages, automata. It also develops them into a mathematical (and less magical) view towards the algorithmic design and in general computation itself. The course should, in addition, clarify the practical view towards the applications of these ideas in the engineering part of CS.

Who this course is for:

1. Anyone who is interested in learning the theory of computation and its concepts.
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### What Will You Learn?

• One can master Finite Automata of Theory of Computation
• In-depth understanding of the basics of the Theory of Computation concepts
• Understanding the need to study the theory of computation
• Understanding the advanced concepts of the theory of computation like Push Down Automata

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