Advanced Operating System

Advanced Operating System

Code: 27024-COs

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Introduction

This course explores the internal design and advanced functionalities of modern operating systems, delving into concepts beyond traditional OS knowledge. Topics include process and memory management, security, virtualization, distributed systems, and kernel-level programming.

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Description

Designed for learners with a solid OS foundation, this course focuses on advanced system-level topics that underpin high-performance computing, cloud platforms, and secure system architectures. Real-world applications, hands-on labs, and projects are emphasized to reinforce technical depth.

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Objectives

• Understand the core differences between traditional and advanced OS

• Master advanced process scheduling and synchronization techniques

• Dive into memory management, virtualization, and file systems

• Explore operating system security, access control, and protection models

• Apply theoretical concepts through practical labs and system-level programming

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Outlines in Detail

Module 1: Introduction to Advanced Operating Systems

• Definition and importance of advanced OS

• Comparison with traditional OS

• Examples: Linux Kernel, Windows Internals

Module 2: Process Management

• Processes and threads

• Advanced scheduling algorithms

• Synchronization and race condition handling

Module 3: Memory Management

• Virtual memory management

• Allocation strategies

• Paging and segmentation

Module 4: File Systems

• File system design principles

• Storage strategies (journaling, caching)

• File system security and protection

Module 5: Security & Protection

• OS-level security models

• Access control mechanisms

• Privilege and permission management

Module 6: Virtualization

• Concepts of virtualization

• Virtual machines and hypervisors

• Containers vs. VMs

Module 7: Distributed Operating Systems

• Introduction to distributed OS

• Process and memory management in distributed environments

• Communication protocols and synchronization

Module 8: Practical Applications & Projects

• Building a mini kernel using simulators

• OS performance analysis using advanced tools

• Developing low-level system programs

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What You Will Learn

• Differences between classic and modern OS

• Design and analysis of advanced scheduling algorithms

• Hands-on experience with virtualization and containers

• How distributed OS handle memory and processes

• Secure OS architecture and file system design

• System-level programming and kernel simulations

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Target Audience

• Computer Science and IT graduates

• System administrators and developers

• OS and kernel enthusiasts

• Professionals interested in low-level programming and virtualization

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Materials

• Lecture slides and reading handouts

• Access to Linux simulators and VMs

• Advanced debugging and monitoring tools

• Code samples and performance profiling utilities

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Instruction Methods

• Advanced lectures with real-world use cases

• Live demonstrations on Linux systems

• Hands-on labs with kernel modules

• Group projects and collaborative analysis

• Quizzes, coding challenges, and case studies

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Time Frame

Duration: 8 Weeks
Sessions: 2 sessions/week (2.5 hours each)
Total Hours: 40 hours

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Course Format

• In-person / Live Online / Hybrid

• English language instruction

• Practical labs and kernel-building tasks

• Final project submission with system-level code review

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Learning Outcomes

By the end of this course, participants will be able to:
✅ Analyze and optimize advanced OS performance
✅ Implement synchronization and memory techniques
✅ Compare and utilize VMs and containers
✅ Work with distributed OS principles
✅ Write and test low-level system programs
✅ Demonstrate secure, virtualized, and scalable OS behavior