MECHATRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
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. |
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. |
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 |
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 |
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 |
Course Notes / Textbooks: | Principles of Distributed Database Systems by M. Tamer Özsu and Patrick Valduriez |
References: | None |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
2) | Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
3) | Design complex Mechatronic 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 Mechatronics Engineering practice; employ information technologies effectively. | |
5) | Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, 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) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics 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 Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions. |