Department of Computer 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	3	0	3	5

Prerequisites	None
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Face-To-Face
Teaching Methods and Techniques of the Course	Problem Solving Lecture / Presentation
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Turhan Tunalı
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;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	will be able to define the structure, type, and application areas of distributed systems.				X
LO2	will be able to exercise infrastructure, software, hardware, languages, and operating system applications for building distributed computing environments.			X
LO3	will be able to classify distributed process structures (clients, servers, threads, and code migration).				X
LO4	will be able to describe process communication, remote procedure call, and distributed process synchronization approaches and algorithms.			X
LO5	will be able to discuss basic distributed applications (distributed web-based systems, distributed object-based systems, and distributed file systems).			X

Course Description

To acquaint students with the major types, structures, functionality, and deployment of distributed systems, and to introduce students to the literature and terminology used for distributed systems and parallel computing.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Introduction: Definition and types of distributed systems	Distributed Systems Principles and Paradigms Tanenbaum – Ch1	LO1
2	Architectures	Distributed Systems Principles and Paradigms Tanenbaum – Ch2, pp. 3457	LO1
3	Processes	Distributed Systems Principles and Paradigms Tanenbaum – Ch3pp. 70110	LO4
4	Communication	Distributed Systems Principles and Paradigms Tanenbaum – Ch4pp. 116130, 140163	LO4
5	Naming	Distributed Systems Principles and Paradigms Tanenbaum – Ch5pp. 180222	LO2
6	Synchronization	Distributed Systems Principles and Paradigms Tanenbaum – Ch6pp. 232269	LO4
7	Consistency and Replication	Distributed Systems Principles and Paradigms Tanenbaum – Ch7pp. 274315	LO5
8	Fault tolerance	Distributed Systems Principles and Paradigms Tanenbaum – Ch8pp. 322360	LO5
9	MIDTERM EXAM		LO1
10	Distributed objectbased systems: Architecture, processes, communication	Distributed Systems Principles and Paradigms Tanenbaum – Ch10pp. 443464	LO3
11	Distributed objectbased systems: naming, synchronization, consistency and replication, fault tolerance	Distributed Systems Principles and Paradigms Tanenbaum – Ch10pp. 466480	LO3
12	Distributed file systems	Distributed Systems Principles and Paradigms Tanenbaum – Ch11pp. 491,531	LO2
13	Distributed web based systems	Distributed Systems Principles and Paradigms Tanenbaum – Ch12, pp.546582	LO5
14	Security	Distributed Systems Principles and Paradigms Tanenbaum – Ch9, pp. 378434	LO5
15	Semester Review		LO1
16	Final Exam		LO1

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	Weighting	LO1	LO2	LO3	LO4	LO5
Project	1	30	X	X	X	X	X
Midterm	1	30	X	X	X	X	X
Final Exam	1	40	X	X	X	X	X
Total	3	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	16	3	48
Theoretical Course Hours	-	-	-
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	15	4	60
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	-	-	-
Presentation / Jury	-	-	-
Project	1	20	20
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	7	7
Final Exam	1	15	15
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
			1	2	3	4	5
No program competency data found.

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

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