FACULTY OF ENGINEERING

Department of Industrial Engineering

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
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Lecture / Presentation
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.
Learning Outcomes The students who succeeded in this course;
  • will be able to define the structure, type, 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 Description 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 Semester Review
16 Final Exam

 

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
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
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
4
60
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
7
7
Final Exam
1
15
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 and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

X
6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

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 present effectively; to be able to give and receive clear and comprehensible instructions

8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

X
9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

X
10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign 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 Industrial Engineering.

X

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

 


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