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Theory of Computation (TOC) / Automata - Complete Pack 2022
Created by Atchyut Kumar | Last updated 12/2021
Duration: 11h 51m | 11 sections | 103 lectures | Video: 1280x720, 44 KHz | 5.3 GB
Genre: eLearning | Language: English + Sub
Learn and play with DFA, NFA, DPDA, NPDA, LBA, Turing Machine and Formal Languages.
What you'll learn
Able to design Finite Automata machines for given problems.
Able to analyze a given Finite Automata machine and find out its Language.
Able to design Pushdown Automata machine for given CF language(s).
Able to generate the strings/sentences of a given context-free languages using its grammar.
Requirements
No prerequisites. Starting from scratch.
Description
One stop destination for "Theory of Computation(TOC)" or "Automata Theory" or "Formal Languages".
Features :
Complete end to end discussion from scratch.
Thorough theory discussion for every chapter.
150+ problems solved with video solutions.
Doubts clarifications can be done with in 24 hours.
Quizzes and Assignments for self assessment.
COURSE OVERVIEW:
Formal languages and automata theory deals with the concepts of automata, formal languages, grammar, computability and decidability. The reasons to study Formal Languages and Automata Theory are Automata Theory provides a simple, elegant view of the complex machine that we call a computer. Automata Theory possesses a high degree of permanence and stability, in contrast with the ever-changing paradigms of the technology, development, and management of computer systems. Further, parts of the Automata theory have direct bearing on practice, such as Automata on circuit design, compiler design, and search algorithms; Formal Languages and Grammars on
compiler design; and Complexity on cryptography and optimization problems in manufacturing, business, and management. Last, but not least, research oriented students will make good use of the Automata theory studied in this course.
Course Objectives:
To understand the concept of machines: finite automata, pushdown automata, linear bounded automata, and Turing machines.
To understand the formal languages and grammars: regular grammar and regular languages, context-free languages and context-free grammar; and introduction to context-sensitive language and context-free grammar, and unrestricted grammar and languages.
To understand the relation between these formal languages, grammars, and machines.
To understand the complexity or difficulty level of problems when solved using these machines.
To understand the concept of algorithm.
To compare the complexity of problems.
Who this course is for:
For everyone
Academic Students.
Interview Preparation Persons.
Competitive Exam Preparation Aspirants.
Anyone interested in Theory of computation/ Automata Theory.
Who this course is for:
Academic Students.
Competitive Exams Aspirants.
GATE CS/IT.
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