3rd Sem, AM

3349: Logic System Design Lab Syllabus for Artificial Intelligence & Machine Learning 3rd Sem 2021 Revision SITTTR

Logic System Design Lab detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence & Machine Learning students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Machine Learning 3rd Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 3rd Sem 2021 revision scheme. The detailed syllabus of logic system design lab is as follows.

Course Objectives:

  • Students will be able to demonstrate various digital circuits using trainer kit and ICs and create various systems by using digital logic

Course Outcomes:

On completion of the course, the student will be able to:

  1. Develop basic logic functions using TTL logic gates
  2. Construct Combinational logic circuits using logic gates
  3. Construct & test the operations of various sequential circuits
  4. Open-ended experiments

Module 1:

Experiments

  1. Test the functionality & verify truth table of basic gates (IC 7404, 7408, 7432)
  2. Test the functionality & verify truth table of NAND and NOR gates (IC 7400, 7402)
  3. Test the functionality & verify the truth tables of logic gates XOR,XNOR.(IC 7486, 74266)
  4. Implement basic gates using NAND and NOR gates only.
  5. Build the logic circuit on breadboard to check the De-Morgan’s theorem

Module 2:

Experiments

  1. Construct Half Adder and Half Substractor using basic gates
  2. Construct Half Adder and Half Substractor using universal gates
  3. Construct Binary to Gray and Gray to Binary code converters
  4. Construct 4 to 1 Multiplexer and 1 to 4 DeMultiplexer using Logic gates.
  5. Demonstrate the use of MUX IC 74153, Decoder/Demux IC 74139.

Module 3:

Experiments

  1. Construct, Test and investigate the operation of D Flip-Flop & T FlipFlop IC’s
  2. Construct, Test and investigate the operation of SR Flip-Flop & JK Flip-Flop IC’s
  3. Use IC7490 to construct decade counter

Suggested Open Ended Experiments

(Not for End Semester Examination but compulsory to be included in Continuous Internal Evaluation. Students can do open-ended experiments as a group of 2-3. There is no duplication in experiments between groups. )

  1. Implement full adder
  2. Implement full subtractor
  3. Implement any logic circuit

Text Books:

  1. Digital principles & Applications Albert Paul Malvino& Donald P. LeachMcGraw Hill Education; Eighth edition ISBN: 978-9339203405
  2. Digital Electronics, Roger L. TokheimMacmillian, McGraw-Hill Education (ISE Editions);International 2 Revised edition ISBN: 978-0071167963 Macmillian
  3. Digital Electronics-an introduction to theory and practice, William H. Gothmann, Prentice Hall India Learning PrivateLimited; 2 edition ISBN: 978- 8120303485
  4. Fundamentals of LogicDesign, Charles H. Roth Jr. Jaico Publishing House; First edition ISBN: 978-8172247744
  5. Digital Electronics, R. Anand, Khanna Publications, New Delhi (Edition 2018) ISBN: 978-93-82609445

Online Resources

  1. https://www.iitg.ac.in/cseweb/vlab/Digital-System-Lab/experiments.php
  2. https://en.wikibooks.org/wiki/Digital_Electronics/
  3. https://www.geeksforgeeks.org/digital-electronics-logic-design-tutorials/
  4. https://www.allaboutcircuits.com/textbook/digital/
  5. https://www.researchgate.net/publication/264005171_Digital_Electronics

For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 3rd Sem subject syllabuses for 2021 revision.

To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..

To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results..

For all Artificial Intelligence & Machine Learning academic calendars, visit Artificial Intelligence & Machine Learning all semesters academic calendar direct link.

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