Practice Question

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. Section A | English: Vocabulary, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Preposition, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Articles, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Verbal Analogy (Word Based Analogy)
  2. Section A | Quant Aptitude: Ratio and Proportion (Ratios), Mixture and Alligation, Permutation and Combination, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Arithmetic, Algebra, Powers and Exponents (Surds and Indices), Average, Age Problems, Percentage, Profit and Loss, Partnership, Time and Work, Simple Interest and Compound Interest, Mensuration and Geometry, Probability, Pipe and Cistern
  3. Section A | Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Calendar, Clock, Blood Relations, Directions (Direction Test), Seating Arrangements, Ranking, Order and Sequence, Puzzle Solving (Puzzles)
  4. Section B | C Programming: C Programming by Yash Sir, Coding Questions by Yash Sir
  5. Section B | Data Structures: Algorithm Analysis, Greedy Algorithms, Time Complexity Analysis, Sorting Algorithms, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs
  6. Section B | OOP (C++): Object Oriented Programming (OOPS), Programming in C++
  7. Section B | OS: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS
  8. Section B | Networking: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics
  9. Section B | AI & Big Data Basics: AI & ML by Arun Sir, Big Data Systems
  10. Section C | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Analog-Digital Conversion
  11. Section A, C | Comp. Fundamentals, COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Multiprocessors, Programming the Basic Computer
  12. MOCK TEST:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture focuses on determining functional completeness in digital logic circuits, a critical concept for exams like GATE. The session begins with a problem from GATE 2015 involving two functions, f(X, Y, Z) and g(X, Y, Z), asking which set is functionally complete. The instructor then transitions to a multiple-choice question asking to identify the functionally complete set among four options involving XOR, NOT, constants, and OR. He analyzes the properties of these sets, specifically looking at linearity and preservation. He writes symbols like '~ +' and '~ .' on the whiteboard to check if the sets can generate universal gates. He selects option (b) {XOR, 1, +} as the answer. In the second half, he applies these concepts to specific functions f(a, b) = a' + b and f(a, b, c) = a' + bc'. He demonstrates how to test for preservation properties and gate generation to determine if a function is functionally complete.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video starts with a GATE 2015 question about functions f and g. The instructor then moves to a multiple-choice question: 'Which of the following is functionally complete?' with options (a) XOR, not; (b) XOR, 1, +; (c) XOR, 1, not; (d) XNOR, 1, not. He analyzes the options, writing '~ +' and '~ .' on the board to represent NOT-OR and NOT-AND. He circles option (b) and marks it, explaining that {XOR, 1, +} is functionally complete because XOR with 1 generates NOT, and {NOT, OR} is a complete set. He notes that the other options are linear or affine sets, which are not complete.

  2. 2:00 – 4:00 02:00-04:00

    The instructor analyzes f(a, b) = a' + b. He writes f(a, a) = a' + a = 1 and f(b, b) = b' + b = 1 on the board. He explains that since the function preserves 1 (outputs 1 when inputs are 1), it cannot generate the constant 0, so it is not functionally complete. Next, he analyzes f(a, b, c) = a' + bc'. He shows f(a, a, a) = a' + aa' = a', generating NOT. Then he substitutes a', b, b' to get f(a', b, b') = a'' + bb' = a + b, generating OR. Since {NOT, OR} is complete, he concludes f(a, b, c) is functionally complete. He emphasizes checking preservation of 0 and 1, monotonicity, linearity, and self-duality.

The lecture provides a comprehensive guide to testing functional completeness. It starts with a GATE problem and a multiple-choice question to introduce the concept. The instructor explains that a set is functionally complete if it can generate all Boolean functions, typically by generating NAND or NOR, or by generating a known complete set like {NOT, OR}. He demonstrates this by analyzing operator sets like {XOR, 1, +} and specific functions like f(a, b) = a' + b. Key techniques include checking for preservation of 0 and 1, linearity, and monotonicity. If a set preserves 0 or 1, it cannot be complete. If it is linear, it cannot be complete. The instructor uses board work to show substitution steps, proving that f(a, b, c) can generate NOT and OR, thus confirming its completeness.

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