ACADEMICS
Course Details

ELE464 - Operating Systems

2022-2023 Fall term information
The course is not open this term
ELE464 - Operating Systems
Program Theoretýcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Elective
Prerequisite courses : ELE336
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : Operating system is a crucial part of a computer system. The purpose of this course is to introduce the students to fundamental concepts and principles of computer operating systems. This course aims to provide students with knowledge on the internal structure and components of operating systems, resource management performed by operating systems, services delivered by operating systems, and real-time operating system issues.
Learning outcomes : A student who completes the course successfully will Know the objectives and functions of operating systems Describe the logical structure of an operating system Identify the facilities provided by an operating system Know how operating systems perform the management of diverse computer resources Know about recent real-time operating system issues
Course content : Computer and Operating System Principles, Processes and Threads, Mutual Exclusion and Synchronization, Deadlocks, Memory Management, Scheduling, Input/Output System, File Systems, Multiple Processor Systems, Security.
References : Stallings W., Operating Systems, Internals and Design Principles, 9/e, Pearson, 2017. Tanenbaum and Boss, Modern Operating Systems, 4/e, Pearson, 2014.; Silberschatz, Galvin, and Gagne, Operating System Concepts, 9/e, John Wiley, 2014.
Course Outline Weekly
Weeks Topics
1 Computer System Overview
2 Operating System Overview
3 Processes: Process states, process description, process control, execution of the operating system
4 Threads : Processes and threads, types of threads, multicore and multithreading.
5 Mutual Exclusion and Synchronization: Hardware support, semaphores , monitors, message passing.
6 Deadlock: Deadlock prevention, deadlock avoidance, deadlock detection.
7 Memory Management: Memory partitioning, paging, segmentation.
8 Virtual Memory: Hardware and control structures, virtual memory policies.
9 Midterm Exam
10 Uniprocessor Scheduling: Types of scheduling, scheduling algorithms.
11 Multiprocessor and Real-Time Scheduling.
12 I/O Management and Disk Scheduling: I/O devices, organization of the I/O function, operating system design issues, I/O buffering, disk scheduling, RAID, disk cache.
13 File Management : File organization and access, file directories, file sharing, record blocking, secondary storage management.
14 Operating System Security: Intruders and malicious software, buffer overflow, access control.
15 Final exam preparation
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 6 20
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 30
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 4 56
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 6 4 24
Quiz 0 0 0
Midterms (Study Duration) 1 24 24
Final Exam (Study duration) 1 34 34
Total workload 36 69 180
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering