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B.E Artificial Intelligence and Machine Learning Operating System Syllabus - Mumbai University

This is the Second Year AI-ML syllabus under NEP 2020, in force from the academic year 2025-26. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Operating-System.pdf
Semester 4 · Second Year AI-ML · 3 credits · 100 marks

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Syllabus for Operating System

Semester 4 · Second Year AI-ML · 3 credits · 100 marks

Module I: Fundamentals of Operating System

  • Introduction of Operating Systems: System Boot, Objectives of Operating System Functions of Operating System, Operating System Structure and Operations, Operating System Services, Multiprogramming, Multitasking, Multithreading, Types of Operating System, Types of System Calls. Self-learning Topics: Study of various Operating System Architecture like IoT, Android.

Module II: Process Management

  • Basic Concepts of Process: Process State Transition Model, Operations, Process Control Block, Context Switching; Introduction to Threads, Types of Threads, Thread Models, Basic Concepts of Scheduling, Types of Schedulers, Type of scheduling algorithms: Preemptive and non preemptive (FCFS, SJF, Priority and Round Robin) Self-learning Topics: Real-time Scheduling algorithms and applications.

Module III: Process Synchronization and Deadlock Management

  • Basic Concepts of Inter-process Communication and Synchronization, Race Condition, Critical Section Problem ,Peterson’s Solution, Process Synchronization, Hardware and Semaphores, Producer Consumer Problem. Deadlocks Management: System Model, Deadlock Characterization, Deadlock Prevention, Deadlock Avoidance: Bankers algorithm, Deadlock Detection and Recovery. Self-learning Topics: Study a real time case study for Deadlock detection and recovery. Overview of security mechanism in OS.

Module IV: Memory Management

  • Basic Concepts of Memory Management: Swapping, Memory Allocation strategy, Paging, Structure of Page Table, Segmentation, TLB. Basic Concepts of Virtual Memory, Demand Paging, Copy-on Write, Page Replacement Algorithms, Thrashing. Self-learning Topics: Memory Management of IoT, Android Operating System.

Module V: File and IO Management

  • File Management: Basic Concepts of File System, File Access Methods, Directory Structure, File-System implementation, Allocation Methods, Overview of Mass Storage Structure, I/O devices, Organization of the I/O Function, Disk Organization, I/O Management and Disk Scheduling: FCFS, SSTF, SCAN, C-SCAN, LOOK, C-LOOK. Self-learning Topics: File System for Linux and Windows, Features of I/O facility for different OS.

Module VI: Special-purpose Operating Systems

  • Open-source and Proprietary Operating System, Fundamentals of Distributed Operating System, Network Operating System, Architecture and functions: Cloud Operating System, Real-Time Operating System, Mobile Operating System. Self-learning Topics: Case Study on any one Special-purpose Operating Systems. other Module randomly selected from all the modules) A total of Three questions needs to be answered.

Text Books

  • 1 A. Silberschatz, P. Galvin, G. Gagne, Operating System Concepts, 10th ed., Wiley, 2018.
  • 2 W. Stallings, Operating Systems: Internal and Design Principles, 9th ed., Pearson, 2018.
  • 3 A. Tanenbaum, Modern Operating Systems, Pearson, 4th ed., 2015.
  • 1 Achyut Godbole and Atul Kahate, Operating Systems, McGraw Hill Education, 3rdEdition
  • 2 N. Chauhan, Principles of Operating Systems, 1st ed., Oxford University Press, 2014.
  • 3 A. Tanenbaum and A. Woodhull, Operating System Design and Implementation, 3rd ed., Pearson.
  • 4 R. Arpaci-Dusseau and A. Arpaci-Dusseau, Operating Systems: Three Easy Pieces, CreateSpace Independent Publishing Platform, 1st ed., 2018.
  • 1 https://www.nptel.ac.in
  • 2 https://swayam.gov.in
  • 3 https://www.coursera.org/

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2025-26. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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