BEEZ062

Theory of Automata and Formal Languages

L-T-P3-0-0 Credits3 Session2024-25 TypeTheory
Appears in 1 semester

B.Tech Electrical & Computer Engineering · Sem 6 (Department Elective-III)

Syllabus

5 units · 40 lecture hours
Unit1

Unit 1: Basic Concepts and Automata Theory

8 hrs

Introduction to Theory of Computation Automata, Computability and Complexity, Alphabet, Symbol, String, Formal Languages, Deterministic Finite Automaton (DFA)- Definition, Representation, Acceptability of a String and Language, Non Deterministic Finite Automaton (NFA), Equivalence of DFA and NFA, NFA with ε-Transition, Equivalence of NFA’s with and without ε-Transition, Finite Automata with output- Moore Machine, Mealy Machine, Equivalence of Moore and Mealy Machine, Minimization of Finite Automata.

Unit2

Unit 2: Regular Expressions and Languages

8 hrs

Regular Expressions, Transition Graph, Kleen’s Theorem, Finite Automata and Regular Expression- Arden’s theorem, Algebraic Method Using Arden’s Theorem, Regular and Non-Regular Languages- Closure properties of Regular Languages, Pigeonhole Principle, Pumping Lemma, Application of Pumping Lemma, Decidability- Decision properties, Finite Automata and Regular Languages

Unit3

Unit 3: Regular and Non-Regular Grammars

8 hrs

Context Free Grammar (CFG)-Definition, Derivations, Languages, Derivation Trees and Ambiguity, Regular Grammars-Right Linear and Left Linear grammars, Conversion of FA into CFG and Regular grammar into FA, Simplification of CFG, Normal Forms- Chomsky Normal Form(CNF), Greibach Normal Form (GNF), Chomsky Hierarchy, Programming problems based on the properties of CFGs.

Unit4

Unit 4: Push Down Automata and Properties of Context Free Languages

8 hrs

Nondeterministic Pushdown Automata (NPDA)- Definition, Moves, A Language Accepted by NPDA, Deterministic Pushdown Automata(DPDA) and Deterministic Context free Languages(DCFL), Pushdown Automata for Context Free Languages, Context Free grammars for Pushdown Automata, Two stack Pushdown Automata, Pumping Lemma for CFL, Closure properties of CFL, Decision Problems of CFL, Programming problems based on the properties of CFLs.

Unit5

Unit 5: Turing Machines and Recursive Function Theory

8 hrs

Basic Turing Machine Model, Representation of Turing Machines, Language Acceptability of Turing Machines, Techniques for Turing Machine Construction, Modifications of Turing Machine, Turing Machine as Computer of Integer Functions, Universal Turing machine, Linear Bounded Automata, Church’s Thesis, Recursive and Recursively Enumerable language, Halting Problem, Post’s Correspondance Problem, Introduction to Recursive Function Theory.

Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Analyse and design finite automata, pushdown automata, Turing machines, formal languages, and grammars.K4, K6
  2. CO2Analyse and design, Turing machines, formal languages, and grammarsK4, K6
  3. CO3Demonstrate the understanding of key notions, such as algorithm, computability, decidability, and complexity through problem solvingK1, K5
  4. CO4Prove the basic results of the Theory of Computation.K2, K3
  5. CO5State and explain the relevance of the Church-Turing thesis.K1, K5

Text books

  1. Introduction to Automata theory, Languages and Computation, J.E.Hopcraft, R.Motwani, and Ullman. 2nd edition, Pearson Education Asia
  2. Introduction to languages and the theory of computation, J Martin, 3rd Edition, Tata McGraw Hill
  3. Elements and Theory of Computation, C Papadimitrou and C. L. Lewis, PHI

Official AKTU syllabus

This subject is on page 45, 46 of the original AKTU PDF.

Official AKTU syllabus PDF ↗