GRADUATE SCHOOL

M.SC. in Computer Engineering (With Thesis)

CE 513 | Course Introduction and Application Information

Course Name
Advanced Operating Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 513
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The course covers advanced topics in computer operating systems with emphasis on the services provided by distributed operating systems. Important topics include inter-process communication, synchronization, concurrent processes, distributed file systems, distributed shared memory management, deadlock detection, protection and security. Important research papers will be discussed in the class. The course will have UNIX flavor. C knowledge is required.
Learning Outcomes The students who succeeded in this course;
  • Understand advanced concepts in distributed operating systems
  • Understand the fundemantal algorithms, techniques and methods in the design of the advanced operating systems.
  • Deal with issues of design of operating system components through reading research papers.
  • Get familiarity with the programming and implementation issues of operating system components through programming assignments.
Course Description The class will cover advanced topics including synchronization, memory management, file systems, protection and security, issues in distributed operating systems,

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction Advanced Concepts In Operating Systems. Singhal&Shivaratri
2 Mutual Exclusion in Distributed Systems Advanced Concepts In Operating Systems. Singhal&Shivaratri
3 Distributed Deadlock Detection Advanced Concepts In Operating Systems. Singhal&Shivaratri
4 Distributed Shared Memory Systems Advanced Concepts In Operating Systems. Singhal&Shivaratri
5 Agreement Protocols Advanced Concepts In Operating Systems. Singhal&Shivaratri
6 Processor Allocation and Load Balancing Advanced Concepts In Operating Systems. Singhal&Shivaratri
7 Checkpointing Algorithms Advanced Concepts In Operating Systems. Singhal&Shivaratri
8 MIDTERM
9 Distributed File Systems (AFS, NFS, Google File System) “The Google file system” ACM SIGOPS Operating Systems Review Vol. 37 , Issue 5 (Dec 2003) Ghemawat et.al Vahalia “Unix Internals” Ch. 10.
10 Threads, Signals, Interprocess communication, Memory allocation in UNIX Vahalia “Unix İnternals” portions of several chapters.
11 Extensible Kernels Research paper
12 Virtualization and Virtual Machines Research paper
13 Security and Protection (SELinux) Research paper. “The Flask Security Architecture: System Support for Diverse Security Policies" . Spencer et.al
14 Multi Processor Operating Systems Advanced Concepts In Operating Systems. Singhal&Shivaratri – Ch. 17.
15 Real-Time Operating Systems Notes
16 -

 

Course Notes/Textbooks Instructor material.
Suggested Readings/Materials “Advanced Concepts In Operating Systems”, Mukesh Singhal, Niranjan Shivaratri McGrawHill ISBN-13 978-0070575721\n“Distributed Systems Principles and Paradigms”, 2nd Edition, Andrew Tanenbaum 2007 Pearson Prentice Hall ISBN: 0-13-239227

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
13
5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
3
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
35
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
4
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
5
75
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
3
5
15
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
37
37
Final Exam
1
50
50
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information.
X
2 Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. X
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines.
X
4 Is informed about new and upcoming applications in the field and learns them whenever necessary. X
5 Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.
X
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs X
7 Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process.
X
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.
X
9 Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.
X
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
X
11 Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.
X
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.
X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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