CS6503 THEORY OF COMPUTATION syllabus-subject-notes-pevious-year-questions-papers-bank
OBJECTIVES:
The student should be made to:
Understand various Computing models like Finite State Machine, Pushdown Automata, and
Turing Machine.
Be aware of Decidability and Un-decidability of various problems.
Learn types of grammars.
UNIT I FINITE AUTOMATA 9
Introduction- Basic Mathematical Notation and techniques- Finite State systems – Basic Definitions –
Finite Automaton – DFA & NDFA – Finite Automaton with €- moves – Regular Languages- Regular
Expression – Equivalence of NFA and DFA – Equivalence of NDFA’s with and without €-moves –
Equivalence of finite Automaton and regular expressions –Minimization of DFA- - Pumping Lemma for Regular sets – Problems based on Pumping Lemma.
UNIT II GRAMMARS 9
Grammar Introduction– Types of Grammar - Context Free Grammars and Languages– Derivations
and Languages – Ambiguity- Relationship between derivation and derivation trees – Simplification of CFG – Elimination of Useless symbols - Unit productions - Null productions – Greiback Normal form – Chomsky normal form – Problems related to CNF and GNF.
UNIT III PUSHDOWN AUTOMATA 9
Pushdown Automata- Definitions – Moves – Instantaneous descriptions – Deterministic pushdown
automata – Equivalence of Pushdown automata and CFL - pumping lemma for CFL – problems
based on pumping Lemma.
UNIT IV TURING MACHINES 9
Definitions of Turing machines – Models – Computable languages and functions –Techniques for
Turing machine construction – Multi head and Multi tape Turing Machines - The Halting problem –
Partial Solvability – Problems about Turing machine- Chomskian hierarchy of languages.
UNIT V UNSOLVABLE PROBLEMS AND COMPUTABLE FUNCTIONS 9
Unsolvable Problems and Computable Functions – Primitive recursive functions – Recursive and
recursively enumerable languages – Universal Turing machine. MEASURING AND CLASSIFYING
COMPLEXITY: Tractable and Intractable problems- Tractable and possibly intractable problems - P
and NP completeness - Polynomial time reductions.
OUTCOMES:
At the end of the course, the student should be able to:
Design Finite State Machine, Pushdown Automata, and Turing Machine.
Explain the Decidability or Undecidability of various problems
TEXT BOOKS:
1. Hopcroft J.E., Motwani R. and Ullman J.D, “Introduction to Automata Theory, Languages and
Computations”, Second Edition, Pearson Education, 2008. (UNIT 1,2,3)
2. John C Martin, “Introduction to Languages and the Theory of Computation”, Third Edition, Tata
McGraw Hill Publishing Company, New Delhi, 2007. (UNIT 4,5)
REFERENCES:
1. Mishra K L P and Chandrasekaran N, “Theory of Computer Science - Automata, Languages and
Computation”, Third Edition, Prentice Hall of India, 2004.
2. Harry R Lewis and Christos H Papadimitriou, “Elements of the Theory of Computation”, Second
Edition, Prentice Hall of India, Pearson Education, New Delhi, 2003.
3. Peter Linz, “An Introduction to Formal Language and Automata”, Third Edition, Narosa
Publishers, New Delhi, 2002.
4. Kamala Krithivasan and Rama. R, “Introduction to Formal Languages, Automata Theory and
Computation”, Pearson Education 2009
OBJECTIVES:
The student should be made to:
Understand various Computing models like Finite State Machine, Pushdown Automata, and
Turing Machine.
Be aware of Decidability and Un-decidability of various problems.
Learn types of grammars.
UNIT I FINITE AUTOMATA 9
Introduction- Basic Mathematical Notation and techniques- Finite State systems – Basic Definitions –
Finite Automaton – DFA & NDFA – Finite Automaton with €- moves – Regular Languages- Regular
Expression – Equivalence of NFA and DFA – Equivalence of NDFA’s with and without €-moves –
Equivalence of finite Automaton and regular expressions –Minimization of DFA- - Pumping Lemma for Regular sets – Problems based on Pumping Lemma.
UNIT II GRAMMARS 9
Grammar Introduction– Types of Grammar - Context Free Grammars and Languages– Derivations
and Languages – Ambiguity- Relationship between derivation and derivation trees – Simplification of CFG – Elimination of Useless symbols - Unit productions - Null productions – Greiback Normal form – Chomsky normal form – Problems related to CNF and GNF.
UNIT III PUSHDOWN AUTOMATA 9
Pushdown Automata- Definitions – Moves – Instantaneous descriptions – Deterministic pushdown
automata – Equivalence of Pushdown automata and CFL - pumping lemma for CFL – problems
based on pumping Lemma.
UNIT IV TURING MACHINES 9
Definitions of Turing machines – Models – Computable languages and functions –Techniques for
Turing machine construction – Multi head and Multi tape Turing Machines - The Halting problem –
Partial Solvability – Problems about Turing machine- Chomskian hierarchy of languages.
UNIT V UNSOLVABLE PROBLEMS AND COMPUTABLE FUNCTIONS 9
Unsolvable Problems and Computable Functions – Primitive recursive functions – Recursive and
recursively enumerable languages – Universal Turing machine. MEASURING AND CLASSIFYING
COMPLEXITY: Tractable and Intractable problems- Tractable and possibly intractable problems - P
and NP completeness - Polynomial time reductions.
OUTCOMES:
At the end of the course, the student should be able to:
Design Finite State Machine, Pushdown Automata, and Turing Machine.
Explain the Decidability or Undecidability of various problems
TEXT BOOKS:
1. Hopcroft J.E., Motwani R. and Ullman J.D, “Introduction to Automata Theory, Languages and
Computations”, Second Edition, Pearson Education, 2008. (UNIT 1,2,3)
2. John C Martin, “Introduction to Languages and the Theory of Computation”, Third Edition, Tata
McGraw Hill Publishing Company, New Delhi, 2007. (UNIT 4,5)
REFERENCES:
1. Mishra K L P and Chandrasekaran N, “Theory of Computer Science - Automata, Languages and
Computation”, Third Edition, Prentice Hall of India, 2004.
2. Harry R Lewis and Christos H Papadimitriou, “Elements of the Theory of Computation”, Second
Edition, Prentice Hall of India, Pearson Education, New Delhi, 2003.
3. Peter Linz, “An Introduction to Formal Language and Automata”, Third Edition, Narosa
Publishers, New Delhi, 2002.
4. Kamala Krithivasan and Rama. R, “Introduction to Formal Languages, Automata Theory and
Computation”, Pearson Education 2009
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