Description
Theory of Computation course. Finite State Machines: Alphabets, Strings, Formal and Natural Language, Operations, Definition and Design of DFA (Deterministic Finite Automata), NFA (Non-deterministic Finite Automata), Equivalence of NFA and DFA: Conversion of NFA to DFA, Convert NFA with move epsilon to NFA, minimize DFA, define and construct Moore and Milley machines, convert between Moore and Milley machines. Minimizing bounded automata. (Construction of minimal automatic) Regular expression and regular grammar: definition and identity of regular expressions, construction of regular expression of the given language, construction of language from RE, conversion of FA to RE using Arden’s theorem, conversion of RE to FA, pumping lemma for RL , closure properties of RLs, regular grammar, equivalence of RG (RLG and LLG) and FA grammars and context-free languages: introduction, formal definition of grammar, symbols, derivation process: left derivation, rightmost derivation, derivation trees, construction of grammars and context-free languages, pumping lemma for CFL, CFG simplification, regular forms (CFG) GNF), Chomsky Hierarchy Pushdown Automata: introduction and definition of PDA, construction of PDA, acceptance of CFL, equivalence of CFL and PDA: between transformation, introduction of DCFL and DPDA, enumeration of CFL properties, context-sensitive language, linear finite automata Turing machines: formal definition of Turing machine, TM design, computable functions, Church hypothesis, counting machine, types of Turing machines: multi-band Turing machines, universal decidability Turing machine and undecidability: decidability of problems, TM problem solving, undecidability: recursive enumerable language, properties of recursive and non-recursive enumerable languages, post matching problem, introduction to the theory of recursive functions
What you will learn in Theory of Computation course
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Construction of finite state machines to solve problems in computing
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Regular expressions for formal languages
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Build and analyze Push Down, Turing Machine, Linear Bounded Automata for formal languages
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Understanding Chomsky’s Hierarchy
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Decidable and undecidable problems
This course is suitable for people who
- Undergraduate and graduate students
Description of the Theory of Computation course
- Publisher: Yudmi
- teacher: Dr Amol Prakash Bhagat
- Training level: advanced
- Training duration: 30 hours and 18 minutes
- Number of courses: 73
The headings of the Theory of Computation course
Prerequisites of the Theory of Computation course
- No experience needed. You will learn everything you need to know.
Course images
Sample video of the course
Installation guide
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Quality: 1080p
download link
File(s) password: www.downloadly.ir
Volume
10.1 GB
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