+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: Formal Language and Automata - Finite Automata and RE (/Thread-Formal-Language-and-Automata-Finite-Automata-and-RE)
Formal Language and Automata - Finite Automata and RE - OneDDL - 03-12-2025
![[Image: a011f49f21a9e2bc3f3375b6ead46fbc.avif]](https://i124.fastpic.org/big/2025/0312/bc/a011f49f21a9e2bc3f3375b6ead46fbc.avif)
Free Download Formal Language and Automata - Finite Automata and RE
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 33m | Size: 1.62 GB
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.
Who this course is for
Computer Science and Engineering Students
Homepage:
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
No Password - Links are Interchangeable