CE 450 | Course Introduction and Application Information

Course Name
Distributed Systems and Parallel Computing
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 450
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives This course will introduce the algorithms and technologies of distributed systems. It will teach both fundamentals as well as systems where these fundamentals are applied in practice. The course will be further based on advanced material from both research papers and several textbooks on distributed and parallel computing. In addition to the theoretical work, during the semester, at least one programming project will be assigned.
Course Description The students who succeeded in this course;
  • will be able to define structure, types, and application areas of distributed systems,
  • will be able to exercise infrastructure, software, hardware, languages, and operating system applications for building distributed computing environments,
  • will be able to classify distributed process structures (clients, servers, threads, and code migration),
  • will be able to describe process communication, remote procedure call, and distributed process synchronization approaches and algorithms,
  • will be able to discuss basic distributed applications (distributed web-based systems, distributed object-based systems, and distributed file systems).
Course Content To acquaint students with the major types, structures, functionality, and deployement of distributed systems, and to introduce students to the literature and terminology used for distributed systems and parallel computing.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction: Definition and types of distributed systrems Distributed Systems Principles and Paradigms Tanenbaum – Ch1
2 Architectures Distributed Systems Principles and Paradigms Tanenbaum – Ch2, pp. 3457
3 Processes Distributed Systems Principles and Paradigms Tanenbaum – Ch3pp. 70110
4 Communication Distributed Systems Principles and Paradigms Tanenbaum – Ch4pp. 116130, 140163
5 Naming Distributed Systems Principles and Paradigms Tanenbaum – Ch5pp. 180222
6 Synchronization Distributed Systems Principles and Paradigms Tanenbaum – Ch6pp. 232269
7 Consistency and Replication Distributed Systems Principles and Paradigms Tanenbaum – Ch7pp. 274315
8 Fault tolerance Distributed Systems Principles and Paradigms Tanenbaum – Ch8pp. 322360
9 MIDTERM EXAM
10 Distributed objectbased systems: Architecture, processes, communication Distributed Systems Principles and Paradigms Tanenbaum – Ch10pp. 443464
11 Distributed objectbased systems: naming, synchronization, consistency and replication, fault tolerance Distributed Systems Principles and Paradigms Tanenbaum – Ch10pp. 466480
12 Distributed file systems Distributed Systems Principles and Paradigms Tanenbaum – Ch11pp. 491,531
13 Distributed webbased systems Distributed Systems Principles and Paradigms Tanenbaum – Ch12, pp.546582
14 Security Distributed Systems Principles and Paradigms Tanenbaum – Ch9, pp. 378434
15 Project Presentations
16 Review of the Semester  

 

Course Notes/Textbooks Distributed Systems Principles and Paradigms, 2nd Edition, Andrew Tanenbaum© 2007 | Pearson Prentice Hall | ISBN: 013239227
Suggested Readings/Materials Distributed Computing Principles and Applications, M. L. Liu,ISBN10: 0201796449

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
6
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
2
24
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
30
Final / Oral Exam
1
40
Total

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

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
3
48
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
15
4
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
2
10
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
7
Final / Oral Exam
1
15
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems X
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose X
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose X
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

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