SOFTWARE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
CMP4502	Distributed Databases	Fall	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi TARKAN AYDIN
Recommended Optional Program Components:	None
Course Objectives:	Communication paradigms: client/server protocols, remote procedure call (e.g., Java RMI), multicast protocols handling asynchronous communication and failures. Distributed transaction management requires enhanced concurrency control methods. Comparing algorithms proposed by researchers and commercial solutions. Replicating data to increase fault-tolerance and the performance of databases.

Learning Outcomes

The students who have succeeded in this course;
1. Be able to understand Distributed computing systems, their characteristics, and desired functionality
2. Become familiar with Distributed computer system models and architectures
3. Be able to understand Synchronization
4. Be able to understand Replication
5. Be able to use distributed naming
6. Be able to understand Fault-tolerance

Course Content

1.Introduction
2.DDBMS Architecture
3.Distributed Database Design
4.Semantic Integrity Control
5.Query decomposition and data localization
6.Optimization of Distributed Queries
7.Transactions
8.Concurrency Control
9.Reliability

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction: syllabus, administration and organization of the course, general introduction in distributed DBMS	None
2)	DDBMS Architecture: definition of DDBMS architecture, ANSI/SPARC standard, global, local, external, and internal schemas, DDBMS architectures, components of DDBMS	None
3)	Distributed Database Design: conceptual design (what can be distributed, design patterns), top-down, bottom-up patterns, technical design (fragmentation, allocation and replication of fragments, optimality, heuristics)	None
4)	Semantic Integrity Control: view management, security control, integrity control	None
5)	Semantic Integrity Control: view management, security control, integrity control	None
6)	Midterm Exam 1	Review all the topics
7)	Query decomposition and data localization: normalization, analysis, elimination of redundancy, rewriting, reduction for HF, reduction for VF	None
8)	Optimization of Distributed Queries: basic concepts, distributed cost model, database statistics	None
9)	Optimization of Distributed Queries: ordering of joins and semijoins, query optimization algorithms, INGRES, System R, hill climbing	None
10)	Transactions: introduction to transactions, definition and examples, properties, classification, processing issues, execution	None
11)	Midterm Exam 2	Review all the topics
12)	Concurrency Control: definition, execution schedules, examples, locking based algorithms, timestamp ordering algorithm, deadlock management	None
13)	Reliability: definitions, basic concepts, local recovery management, distributed reliability protocols	None
14)	Reliability: distributed reliability protocols, 2PC protocol	None

Sources

Course Notes / Textbooks:	Principles of Distributed Database Systems by M. Tamer Özsu and Patrick Valduriez
References:	None

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 10
Midterms	2	% 40
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Be able to specify functional and non-functional attributes of software projects, processes and products.
2)	Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.
3)	Be able to develop a complex software system with in terms of code development, verification, testing and debugging.
4)	Be able to verify software by testing its program behavior through expected results for a complex engineering problem.
5)	Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation.
6)	Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7)	Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams.
8)	Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems.
9)	Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system.
10)	Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities.
11)	Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life.
12)	Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13)	Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions.