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What you'll get

  • Job Credibility
  • Certification Valid for Life
  • On-demand video*
  • E-Book
  • Self-Paced Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

The Introduction to Automata Theory is an online program specially designed for data science students and data science professionals. This is a comprehensive course that contains all the automata theory in it. This is a great course for those who find many complexities to understand automata theory concepts, also many students think that it can be understood by only those who have strong grips on mathematics.

This online automata course help student to build their foundation on this particular topic. So that they can do further study or project effectively. To take this course you do not have to require any prior experience, as our trainers will effectively explain each concept to spread a combination of theory and practical information.

What you will understand in this automata theory course?

  • you will first understand the automata theory.
  • then we will move to regular language and expression.
  • we will also cover up finite state machine concepts with DFA and NFA.
  • We will make you understand context-free languages and grammar.
  • we will also guide for pushdown automata for context-free language. 

This is a course that does not need any prior experience. And if you are a complete beginner, they also can take this course to make your automata concepts clear.

Course Content

Total: 45 lectures
  • Why Study Automata Theory?
  • Introduction to finite automata
  • Structural Representations
  • Automata and Complexity
  • Deductive Proofs
  • Reduction to Definitions
  • Other Theorem Forms
  • Theorems That Appear Not to Be If-Then Statements
  • Proving Equivalences About Sets
  • The Contrapositive
  • Proof by Contradiction
  • Counterexamples
  • Inductions on Integers
  • More General Forms of Integer Inductions
  • Structural Inductions
  • Mutual Inductions
  • Alphabets
  • Strings
  • Languages
  • Problems
  • Informal Picture of Finite Automata
  • The Ground Rules
  • The Protocol
  • Enabling the Automata to Ignore Actions
  • The Entire System as an Automation
  • Using the Product Automation to Validate the protocol
  • Definition of a deterministic finite automation
  • How a DFA Processes Strings
  • Simpler Notations for DFA's
  • Extending the Transition Fucntion to Strings
  • The Language of a DFA
  • Informal View of Nondeterministic Finite Automata
  • Definition of Nondeterministic Finite Automata
  • The Extended Transition Function
  • The Language of an NFA
  • Equivalence of Deterministic and Nondeterministic Finite Automata
  • Bad Case for the Subset Construction
  • Finding Strings in Text
  • Nondeterministic Finite Automata for Text Search
  • A DFA to Recognise a Set of Keywords
  • Uses of e-Transitions
  • The Formal Notation for an e-NFA
  • Epsilon-Closures
  • Extended Transitions and Languages for e-NFA's
  • Eliminating e-Transitions


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