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
Oral Exams
Midterm
1
30
Final 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
Theoretical 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
Oral Exam
Midterms
1
7
Final Exam
1
15
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

X
6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering.

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