Complete TOC Theory of Computation in one shot | Semester Exam | Hindi

Duration: 8 hr 24 min

Complete TOC Theory of Computation in one shot | Semester Exam | Hindi

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Content in this video:

00:00 (Chapter-0:- About this video)

02:00 Chapter-1 (Basic Concepts and Automata Theory): Introduction to Theory of Computation- Automata, Computability and Complexity, Alphabet, Symbol, String, Formal Languages, Deterministic Finite Automaton (DFA)- Definition, Representation, Acceptability of a String and Language, Non Deterministic Finite Automaton (NFA), Equivalence of DFA and NFA, NFA with ε- Transition, Equivalence of NFA’s with and without ε-Transition, Finite Automata with output- Moore Machine, Mealy Machine, Equivalence of Moore and Mealy Machine, Minimization of Finite Automata.

3:21:38 Chapter-2 (Regular Expressions and Languages): Regular Expressions, Transition Graph, Kleen’s Theorem, Finite Automata and Regular Expression- Arden’s theorem, Algebraic Method Using Arden’s Theorem, Regular and Non-Regular Languages- Closure properties of Regular Languages, Pigeonhole Principle, Pumping Lemma, Application of Pumping Lemma, Decidability- Decision properties, Finite Automata and Regular Languages

4:55:02 Chapter-3 (Regular and Non-Regular Grammars): Context Free Grammar(CFG)-Definition, Derivations, Languages, Derivation Trees and Ambiguity, Regular Grammars-Right Linear and Left Linear grammars, Conversion of FA into CFG and Regular grammar into FA, Simplification of CFG, Normal Forms- Chomsky Normal Form(CNF), Greibach Normal Form (GNF), Chomsky Hierarchy, Programming problems based on the properties of CFGs.

6:26:30 Chapter-4 (Push Down Automata and Properties of Context Free Languages): Nondeterministic Pushdown Automata (NPDA)- Definition, Moves, A Language Accepted by NPDA, Deterministic Pushdown Automata(DPDA) and Deterministic Context free Languages(DCFL), Pushdown Automata for Context Free Languages, Context Free grammars for Pushdown Automata, Two stack Pushdown Automata, Pumping Lemma for CFL, Closure properties of CFL, Decision Problems of CFL, Programming problems based on the properties of CFLs.

7:12:02 Chapter-5 (Turing Machines and Recursive Function Theory): Basic Turing Machine Model, Representation of Turing Machines, Language Acceptability of Turing Machines, Techniques for Turing Machine Construction, Modifications of Turing Machine, Turing Machine as Computer of Integer Functions, Universal Turing machine, Linear Bounded Automata, Church’s http://www.knowledgegate.in/gate Thesis, Recursive and Recursively Enumerable language, Halting Problem, Post’s Correspondance Problem, Introduction to

Recursive Function Theory.

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Discussion

  • Sachin Yadav

    How can I get notes

    • KG AI MentorKG AI Mentor

      Dear learner, here is the exact location to download PDF notes. PFA.

  • kg_516207

    How can I get notes

    • KG AI MentorKG AI Mentor

      Dear learner, here is the exact location to download PDF notes. PFA.

  • kg_076723

    Where can I find the note from “Gate One Shot” at 11 hours 43 minutes and 37 seconds in the TOC? https://www.youtube.com/watch?v=gK_V_lzNQg8 I am talking about the class notes from the video link above.

    • KG AI MentorKG AI Mentor

      Dear Learner, Please follow these steps to access them: Go to the TOC One Shot section. Click on TOC_Notes (PDF) in the left panel. You can either view the notes online or download them using the Download button. If you are still unable to find them, please click here to raise a query with our Support Team: https://support.knowledgegate.ai

    • kg_076723

      But i found the note of TOC ONE shot which is 8 hours...but i need the pdf of the 11 hour TOC one shot class which is available in youtube

  • karan khot

    I want notes

    • KG AI MentorKG AI Mentor

      Dear learner please check notes section it is available in that.

    • KG AI MentorKG AI Mentor

      Quick AnswerI can provide concise notes. Here’s a compact cheat sheet on core topics often tested in CS exams like GATE. Key Steps1) Time Complexity Big-O, Big-Theta, Big-Omega; common patterns: O(n), O(log n), O(n log n), O(n^2), O(2^n). Analyze loops: total iterations multiply, nested loops multiply; example: for i=1..n: for j=1..n: => O(n^2). 2) Sorting & Data Structures QuickSort: average O(n log n), worst O(n^2); in-place, not stable. MergeSort: O(n log n); stable. HeapSort: O(n log n); in-place. Structures: arrays, singly/doubly linked lists, stacks (LIFO), queues (FIFO). 3) Graphs & Traversals BFS: O(V+E) using a queue; good for unweighted shortest paths. DFS: O(V+E) using recursion/stack. MST: Kruskal, Prim (O(E log V)). Shortest path: Dijkstra (non-negative weights). 4) Dynamic Programming Break problems into overlapping subproblems; build top-down (memoization) or bottom-up. Identify states, transitions, base cases; avoid recomputation. — KG AI Mentor 🤖

  • kg_558419

    L

    • KG AI MentorKG AI Mentor

      Dear, If you need any help, kindly message on this https://support.knowledgegate.ai to raise a query with our support team. We will guide you further.

    • KG AI MentorKG AI Mentor

      Quick AnswerIt looks like you posted a single letter "L". If you meant to discuss notes, here’s a quick guide to craft effective CS notes for GATE prep. Key StepsOrganize by topic (e.g., Algorithms, Data Structures, CN, OS) with a one-line definition. For each topic, capture: core concept, time/space complexity, key formulas, 1-2 solved examples, and 2-3 practice questions. Create a concise one-page cheat sheet per topic and note common pitfalls. Use spaced repetition: review every few days and rewrite summaries in your own words. Example: Binary Search low, high = 0, n-1 while low <= high: mid = low + (high - low)//2 if a[mid] == target: return mid if a[mid] < target: low = mid + 1 else: high = mid - 1 return -1Common pitfalls: overflow in mid, off-by-one errors, unsorted input. If you had a specific topic in mind, I can tailor a compact notes outline for it. — KG AI Mentor 🤖

  • kg_957671

    how can i get notes with solved question

    • KG AI MentorKG AI Mentor

      Sorry dear, currently we are not providing solution. If you have issue in any question then you can ask queries on our KGAI community and get the quick resolution, here is the link: https://www.knowledgegate.ai/communities

  • kg_103357

    Toc Notes

    • KG AI MentorKG AI Mentor

      Dear Learner, here are the steps to access the content: 1. Firstly, enroll the course for free by clicking on this link.https://www.knowledgegate.ai/learn/FREE-SEMESTER-EXAM-COURSE/free-semester-one-shot-exam-course/ 2. Click on "View Bundle" on the course. 3. Click on START LEARNING on Free Semester exam course. 4. Now you can access the course. 5. Click on drop down arrow then on your desired subject again Click on drop down arrow. 6. Select PDF. 7. On top right you will find download button. Click on that to download notes. Hope it helps. 👉 If you need further help, kindly message on this https://support.knowledgegate.ai to raise a query with our support team. We will guide you further.

    • KG AI MentorKG AI Mentor

      Quick Answer“TOC Notes” refers to a Table of Contents for your notes. Set up a clean, topic-focused TOC per subject so you can jump to key concepts, formulas, and examples quickly. Key StepsCreate a per-subject TOC ordered by syllabus (e.g., OS: Process Scheduling, Deadlocks, Virtual Memory; CN: Signals, Routing, Protocols). Under each topic, add a concise 2–3 line summary, essential formulas, and a link to the detailed note. Use anchors/links for quick navigation (Markdown: headings + a TOC with internal links; or Notion/OneNote with page links). Regularly update the TOC after covering new topics and use consistent tags to aid search and spaced-repetition review. — KG AI Mentor 🤖

  • kg_419147

    TOC ka notes

    • KG AI MentorKG AI Mentor

      Dear learner, PFA. I am sharing the exact location notes and download option.

  • kg_419147

    Note

  • kg_419147

    Notes

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