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Non-Linear: Random Order
This course provides students with concepts of Fundamentals of Automata- Computation, Finite State Machine, Automata Classification, Automata in Real World, Formal Language Theory- Symbols, Alphabets and Strings, Operations on Strings, Formal Languages, Operations on Languages and Formal Languages/ Grammar Hierarchy: Formal Languages, Regular Language, Context-Free Language, Context-Sensitive Language, Recursive Language, Recursively Enumerable Language, Other Forms of Form
1.Will familiarize about Equivalent Finite-State Automata, Equivalence of NFA/NFA- ɛ and DFA, Equivalence of NFA, with Є moves to NFA, without Є - moves.
2.Will demonstrate Two way DFA, DFA Vs 2DFA
3.Will develop knowledge in implification of Context – Free Grammar: Simplification of Context-Free Grammars, Elimination of Є -Productions
There is no particular prerequisite to learn Formal Languages, you will be able to do very well, if you have these basic skills:
1. Basic Analytics Skills
2. Good Understanding Skills
3. Good Communication Skills
.
1.1 Fundamentals of Automata- Computation, Finite State Machine
1.2 Components of Finite State Automata
1.3 Automata Classification, Automata in Real World
Fundamentals of Automata
10 Questions
2.1 Formal Language Theory- Symbols, Alphabets and Strings, Operations on Strings, Formal Languages, Operations on Languages
2.2 Formal Languages/ Grammar Hierarchy: Formal Languages, Regular Language, Context-Free Language, Context-Sensitive Language, Recursive Language, Recursively Enumerable Language, Other Forms of Form
2.3 Relationship between Grammars and Languages
Formal Language Theory and Formal Languages / Grammer Hierarchy
10 Questions
3.1 Finite Automata: Introduction, Deterministic Finite Automata(DFA), Design of DFAs, Non Deterministic Finite Automata(NFA), Non-Deterministic Automata with Є-moves ,Design of NFA- Є s, Advantages o
3.2 Equivalent Automata: Equivalent Finite-State Automata, Equivalence of NFA/NFA- ɛ and DFA, Equivalence of NFA, with Є moves to NFA, without Є - moves.
Finite Automata and Equvalent Automata
10 Questions
4.1 Minimization/ Optimization of DFA: Optimum DFA, Minimal DFA
4.2 Two way DFA, DFA Vs 2DFA
4.3 Finite Automata and Regular Expressions:Properties of Regular Sets and Regular Languages, Arden’s Theorem
Minimization/ Optimization of DFA, Regular Expressions and Languages and Finite Automata and Regular Expressions
10 Questions
5.1 Transducers: Moore Machine, Mealy Machine, Difference between Moore and Mealy Machines, Properties / Equivalence of Moore and Mealy Machines
5.2 Simplification of Context – Free Grammar: Simplification of Context-Free Grammars, Elimination of Є -Productions
5.3 Elimination of Unit Productions, Normal Forms for Context Free Grammars, Chomsky Normal Form, Greibach Normal Form, Chomsky Vs Greibach Normal Form, Application of Context- Free Grammars
Transducers, Context Free Grammers and Context-Free Languages and Simplification of Context Free - Grammer
10 Questions
6.1 Turing Machine: Introduction, Components of Turing Machine, Description of Turing Machine
Turing Machine and TM Extensions and Languages
10 Questions
Final Assessment
20 Questions
The certificate issued for the Course will have
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