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AUTOMATA THEORY

Track :

Programming

Lessons no : 40

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What will you learn in this course?
  • Design and analyze finite automata for pattern recognition and language recognition tasks in computer science applications
  • Construct and implement regular expressions and finite automata for practical problem-solving in software development
  • Apply automata theory principles to model and solve computational problems involving formal languages and automata
  • Evaluate the computational power of different automata models such as DFA, NFA, and PDA in automata theory
  • Translate regular expressions into equivalent automata for use in lexical analysis and compiler design
  • Identify the limitations of finite automata and extend understanding to pushdown automata and Turing machines
  • Utilize automata theory concepts to optimize algorithms for language processing and automata-based systems
  • Solve problems related to decidability, computability, and complexity using automata and formal language theory

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Lessons | 40
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Automata theory is the study of abstract machines and automata, as well as the computational problems that can be solved using them. It is a theory in theoretical computer science. The word automata comes from the Greek word αὐτόματος, which means "self-acting, self-willed, self-moving".