Computer Engineering

Course Details

KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
05080002	Distributed Systems	4	Spring	8	3+0+0	3	5

Course Type	Compulsory
Course Cycle	Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language	Turkish
Methods and Techniques	-
Mode of Delivery	Face to Face
Prerequisites	-
Coordinator	-
Instructor(s)	Asst. Prof. Ali Osman ÇIBIKDİKEN
Instructor Assistant(s)	-

Course Instructor(s)

Name and Surname	Room	E-Mail Address	Internal	Meeting Hours
Asst. Prof. Ali Osman ÇIBIKDİKEN	A-124	[email protected]	7585	Monday 14.00-15.00

Course Content

Süreç Senkronizasyonu ve Kilitlenmeler, İş Parçacığı Senkronizasyonu, Dağıtık Sistemlerde Senkronizasyon, Zaman Yönetimi, Merkezi Algoritmalar, Lamport'un Dağıtılmış Algoritması, Token Tabanlı ve Sezgisel Algoritmalar, Dağıtılmış Kilitlenme Algılama: Merkezileştirilmiş ve Dağıtılmış Algoritmalar, Seçim Algoritmaları, Anlaşma Protokolleri: Bizans Anlaşması, Dağıtık Sistemlerde Dinamik Çizelgeleme, Dağıtık Dosya Sistemleri, Dağıtık Sistemlerde Hata Toleransı, Dağıtılmış Gerçek Zamanlı Sistemler, Dağıtık Sistemler ve Blokzincir Teknolojisi

Objectives of the Course

To introduce the theory and implementation of distributed systems with emphasis on distributed operating systems and distributed algorithms

Contribution of the Course to Field Teaching

Basic Vocational Courses
Specialization / Field Courses	X
Support Courses	X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

Relationships between Course Learning Outcomes and Program Outcomes

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P2	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose	5
P4	Ability to develop, select and use modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively	5
P5	An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics	5

Course Learning Outcomes

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Explaining what a distributed system is, why a computer system should be designed as a distributed system, and what features are sought in such systems (transparency, scalability, openness).	P.2.30	1,7
O2	Examining the principles underlying the operation of distributed systems and identifying problems and challenges related to these principles	P.2.31	1,7
O3	Designing distributed system software using both underlying operating system mechanisms (e.g., foundations for communication, multi-threading, concurrency, etc.) and/or higher-level middleware services (e.g., RPC, RMI, message passing, queuing systems, etc.); and to create	P.5.7	1,7
O4	Explain how consistency and replication affect distributed system design, identify potential problems that arise and corresponding solutions	P.4.23	1,7
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Weekly Detailed Course Contents

Week	Topics
1	Introduction, interconnections, distributed system taxonomy, service models client-server computing, network protocols
2	Remote Procedure Calls, High-level communication and publish-subscribe
3	Synchronization In Distributed Systems
4	Consistency Models: Sequential Consistency, Causal Consistency models, CAP Theorem, Eventual Consistency
5	Distributed Mutual Exclusion: Central Algorithms, Lamport`s Distributed Algorithm, Token Based and Heuristic Algorithms
6	Distributed Deadlock Detection: Centralized and Distributed Algorithms
7	Election Algorithms
8	Agreement Protocols : Byzantine Agreement
9	Dynamic Scheduling in Distributed Systems
10	Static Scheduling in Distributed Systems
11	Distributed File Systems
12	Fault Tolerance in Distributed Systems
13	Distributed systems and blockchain technology
14	Distributed application development in blockchain technology

Textbook or Material

Resources

Andrew S. Tanenbaum, Maarten van Steen, 2008, Distributed Systems: Principles and Paradigms, 2/E, Prentice-Hall

Evaluation Method and Passing Criteria

In-Term Studies	Quantity	Percentage
Attendance	-	-
Laboratory	-	-
Practice	-	-
Course Specific Internship (If Any)	-	-
Homework	-	-
Presentation	-	-
Projects	-	-
Quiz	-	-
Midterms	1	40 (%)
Final Exam	1	40 (%)
Total		80 (%)

ECTS / Working Load Table

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	3	42
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	14	3	42
Midterms	1	33	33
Quiz	0	0	0
Homework	0	0	0
Practice	0	0	0
Laboratory	0	0	0
Project	0	0	0
Workshop	0	0	0
Presentation/Seminar Preparation	0	0	0
Fieldwork	0	0	0
Final Exam	1	33	33
Other	0	0	0
Total Work Load:			150
Total Work Load / 30			5
Course ECTS Credits:			5

Course - Learning Outcomes Matrix

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P2	P4	P5
O1	Explaining what a distributed system is, why a computer system should be designed as a distributed system, and what features are sought in such systems (transparency, scalability, openness).	3	1	4
O2	Examining the principles underlying the operation of distributed systems and identifying problems and challenges related to these principles	2	5	3
O3	Explain how consistency and replication affect distributed system design, identify potential problems that arise and corresponding solutions	1	2	4
O4	Designing distributed system software using both underlying operating system mechanisms (e.g., foundations for communication, multi-threading, concurrency, etc.) and/or higher-level middleware services (e.g., RPC, RMI, message passing, queuing systems, etc.); and to create	3	1	4