BIOMEDICAL 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	Spring 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)	Adequate knowledge of subjects specific to mathematics (analysis, linear, algebra, differential equations, statistics), science (physics, chemistry, biology) and related engineering discipline, and the ability to use theoretical and applied knowledge in these fields in complex engineering problems.
2)	Identify, formulate, and solve complex Biomedical Engineering problems; select and apply proper modeling and analysis methods for this purpose
3)	Design complex Biomedical systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4)	Devise, select, and use modern techniques and tools needed for solving complex problems in Biomedical Engineering practice; employ information technologies effectively.
5)	Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Biomedical Engineering.
6)	Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Biomedical Engineering-related problems.
7)	Ability to communicate effectively in Turkish, oral and written, to have gained the level of English language knowledge (European Language Portfolio B1 general level) to follow the innovations in the field of Biomedical Engineering; gain the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9)	Having knowledge for the importance of acting in accordance with the ethical principles of biomedical engineering and the awareness of professional responsibility and ethical responsibility and the standards used in biomedical engineering applications
10)	Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11)	Acquire knowledge about the effects of practices of Biomedical Engineering on health, environment, security in universal and social scope, and the contemporary problems of Biomedical Engineering; is aware of the legal consequences of Mechatronics engineering solutions.