Formal Language And Automata: Finite Automata And Re
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.65 GB | Duration: 4h 33m
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.65 GB | Duration: 4h 33m
Theory of Computation
What you'll learn
Deterministic Finite Automata
Non-deterministic Finite Automata
Conversion of NFA to DFA and Epsilon NFA to DFA
Regular Expressions
Requirements
Basic Mathematical Knowledge
Description
Formal Language and Automata: Finite Automata and RE is a fundamental course in theoretical computer science that delves into the mathematical principles governing computational systems and algorithms. This course is designed for third-year Engineering students, the course provides a structured understanding of formal languages, automata theory, and their significance in defining and influencing computation.The course begins with an introduction to formal languages, and their classifications, focusing on regular languages. Students will explore different ways to represent these languages, such as deterministic finite automata (DFA), non deterministic finite automata (NFA), and regular expressions (RE). Through rigorous analysis, they will understand the computational power of these models and the fundamental equivalence between them. Key topics include minimisation of finite automata, pumping lemma and decision problems associated with regular languages.Beyond theoretical concepts, this course emphasizes practical applications in areas like compiler design, lexical analysis, pattern matching, text processing, and software verification. Students will engage in mathematical proofs, algorithmic problem-solving, and interactive exercises to reinforce their learning.By the end of the course, students will have a solid grasp of computational models, enabling them to design efficient algorithms, comprehend system constraints, and explore advanced topics in artificial intelligence, cryptography, and software engineering.
Overview
Section 1: Deterministic Finite Automata
Lecture 1 Basic Definitions in Automata
Lecture 2 DFA with Example
Lecture 3 DFA Example: Start with "01"
Lecture 4 DFA Example: Substring "101"
Lecture 5 DFA Example: Does not contain substring "101"
Lecture 6 DFA Example: Binary String is even
Lecture 7 DFA Example: Divisible by 3
Lecture 8 DFA Example: Even 0's and Even 1's
Lecture 9 Extended Transition Function for DFA
Section 2: Non-Deterministic Finite Automata and Conversions
Lecture 10 NFA with Example
Lecture 11 NFA Example
Lecture 12 Extended Transition Function for NFA
Lecture 13 NFA to DFA Conversion
Lecture 14 NFA to DFA : Another Example
Lecture 15 ε-NFA
Lecture 16 ε-Closure
Lecture 17 Conversion of ε-NFA to DFA
Lecture 18 Minimized DFA
Section 3: Regular Expressions
Lecture 19 Introduction to Regular Expression
Lecture 20 RE to Epsilon-NFA Conversion
Lecture 21 DFA to RE Conversion
Lecture 22 DFA to RE Example1
Lecture 23 DFA to RE Example2
Lecture 24 Pumping Lemma for Regular Languages
Lecture 25 Pumping Lemma: Example 1
Lecture 26 Pumping Lemma: Example 2
Computer Science and Engineering Students