Logic System Design & Computer Organization 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 & computer organization is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the students will be able to:
- Demonstrate number system conversions, binary arithmetic operations,binary coding & logic gates 11
- Make use of Boolean algebra and the Karnaugh Map for the implementation of logic functions. 1
- Summarize the basic operational concepts, memory & I/O of a computer system
- Outline the working of Processing Unit of a Computer System
Module 1:
Number systems – decimal, binary,octal, hexadecimal number systems – conversion Types of binary codes – binary coded decimal, excess 3 code, gray code -conversion Alphanumeric codes-ASCII code Complements of number systems-1’s complement and 2’s complement Binary arithmetic- addition, subtraction, subtraction using complement, multiplication and division Introduction to logic gates – AND, OR, NOT, NAND, NOR, EX-OR and EX-NOR operations Universal property – NAND and NOR gates
Module 2:
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Module 3:
Computer System – Functional units – Basic operational concepts, Bus Structures Memory Hierarchy – Read Only memory- PROM, EPROM, EEPROM, Flash Memory., Primary Memory-static ,dynamic,comparison, Secondary memory -Features, examples Input/Output Organisation – Accessing of I/O devices -Program controlled I/O,Interrupt Driven I/O Direct Memory Access (basic concept only)
Module 4:
Processing Unit: Von Neumann Architecture, Processor Organization, Register Organization Instruction Cycle: Instruction Fetch -Execute – Interrupts Control unit: Hardwired Control – Microprogrammed Control Instruction pipelining: need of pipelining, 2-stage pipelining Parallel processing: Flynn’s classification
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Online Resources
- https://nptel.ac.in/courses/108106177
- https://nptel.ac.in/courses/117105080
- https://nptel.ac.in/courses/106105163
- https://nptel.ac.in/courses/106108100
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.