*In theoretical computer science and mathematics, the theory of computation is the branch that deals with how efficiently problems can be solved on a model of computation, using an algorithm.The field is divided into three major branches: automata theory and languages, computability theory, and computational complexity theory, which are linked by the question: "What are the fundamental capabilities and limitations of computers? In order to perform a rigorous study of computation, computer scientists work with a mathematical abstraction of computers called a model of computation.*

*In theoretical computer science and mathematics, the theory of computation is the branch that deals with how efficiently problems can be solved on a model of computation, using an algorithm.*The field is divided into three major branches: automata theory and languages, computability theory, and computational complexity theory, which are linked by the question: "What are the fundamental capabilities and limitations of computers? In order to perform a rigorous study of computation, computer scientists work with a mathematical abstraction of computers called a model of computation.There are several classes of formal languages, each allowing more complex language specification than the one before it, i.e.

An automaton can be a finite representation of a formal language that may be an infinite set.

Automata are used as theoretical models for computing machines, and are used for proofs about computability.

Because automata are used as models for computation, formal languages are the preferred mode of specification for any problem that must be computed.

is one of the most important results in computability theory, as it is an example of a concrete problem that is both easy to formulate and impossible to solve using a Turing machine.

Two major aspects are considered: time complexity and space complexity, which are respectively how many steps does it take to perform a computation, and how much memory is required to perform that computation.

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In order to analyze how much time and space a given algorithm requires, computer scientists express the time or space required to solve the problem as a function of the size of the input problem.

Much of computability theory builds on the halting problem result.

Another important step in computability theory was Rice's theorem, which states that for all non-trivial properties of partial functions, it is undecidable whether a Turing machine computes a partial function with that property.

This course introduces students to formal languages and automata theory.

It will emphasize on grammar, language and abstract machine such as Regular Grammar, Context Free Grammar, Finite Automata, Push Down Automata, and Turing Machine.

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