KTU FLAT Notes S5 Formal Languages & Automata Theory 2019

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KTU FLAT Notes Formal Languages & Automata Theory Note 2019

FORMAL LANGUAGES AND AUTOMATA THEORY [ FLAT ] CST 301 is a KTU S5 CSE course. This 2019 scheme course is designed to illuminate the underpinnings of computing, and serve as a foundation for more advanced study, this introduction to formal languages and automata theory covers regular expressions, context-free languages, Turing machines and decidability.

KTU FLAT Introduces the principles of formal language theory and its application to computer science You can learn KTU subjects through our excellent study materials comprising of Notes, Presentations and Previous Years Question papers which are easily available on our website (www.keralanotes.com).

Board KTU
Scheme 2019 New Scheme
Year Third Year
Semester S5
Subject Formal Languages & Automata Theory |  CST 301 Notes
Credit 4 Credit
Category KTU S5 Computer Science
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KTU S5 FORMAL LANGUAGES AND AUTOMATA THEORY |  CST 301 | Notes (2019 Scheme)

This course will explain the different concepts and principles involved in formal languages and the automata theory of KTU. FLAT is especially suitable for computational linguistics students with only basic programming skills acquired in introductory courses. There is also an emphasis on mathematical concepts that are usually not covered in introductory courses.
Are you in need of study materials for  FORMAL LANGUAGES AND AUTOMATA THEORY CST 301? Well, stay connected with us to download complete study materials which include class notes, presentations (PPT or PowerPoint), downloadable (PDF or WORD files)

Module 1

Module 1 - Syllabus

Introduction to Formal Language Theory and Regular Languages:

Introduction to formal language theory– Alphabets, Strings, Concatenation of strings, Languages. 

Regular Languages - Deterministic Finite State Automata (DFA) (Proof of correctness of construction not required), Nondeterministic Finite State Automata (NFA), Equivalence of DFA and NFA, Regular Grammar (RG), Equivalence of RGs and DFA.

Module 1 - Notes

Module 1 FORMAL LANGUAGES AND AUTOMATA THEORY | CST 301 PDF Notes

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Module 2

Module 2 - Syllabus

More on Regular Languages:

Regular Expression (RE), Equivalence of REs and DFA, Homomorphisms, Necessary conditions for regular languages, Closure Properties of Regular Languages, DFA state minimization (No proof required).

Module 2 - Notes

Module 2 FORMAL LANGUAGES AND AUTOMATA THEORY | CST 301 PDF Notes

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Module 3

Module 3 - Syllabus

Myhill-Nerode Relations and Context-Free Grammars:

Myhill-Nerode Relations (MNR)- MNR for regular languages, Myhill-Nerode Theorem (MNT) (No proof required), Applications of MNT. 

Context-Free Grammar (CFG)- CFG representation of Context-Free Languages (proof of correctness is required), derivation trees and ambiguity, Normal forms for CFGs.

Module 3 - Notes

Module 3 FORMAL LANGUAGES AND AUTOMATA THEORY | CST 301 PDF Notes

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Module 4

Module 4 - Syllabus

More on Context-Free Languages:

Nondeterministic Pushdown Automata (PDA), Deterministic Pushdown Automata (DPDA), Equivalence of PDAs and CFGs (Proof not required), Pumping Lemma for Context-Free Languages (Proof not required), Closure Properties of Context-Free Languages.

Module 4 FORMAL LANGUAGES AND AUTOMATA THEORY | CST 301 PDF Notes

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Module 5

Module 5 - Syllabus

Context-Sensitive Languages, Turing Machines:

Context-Sensitive Languages - Context Sensitive Grammar (CSG), Linear Bounded Automata. 

Turing Machines - Standard Turing Machine, Robustness of Turing Machine, Universal Turing Machine, Halting Problem, Recursive and Recursively Enumerable Languages. Chomsky classification of formal languages.

Module 5 - Notes

Module 5 FORMAL LANGUAGES AND AUTOMATA THEORY | CST 301 PDF Notes

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