Course Name | Distributed Database Systems |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
CE 370 | Fall/Spring | 3 | 0 | 3 | 5 |
Prerequisites |
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Course Language | English | ||||||||
Course Type | Elective | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | Problem SolvingLecture / Presentation | ||||||||
Course Coordinator | - | ||||||||
Course Lecturer(s) | - | ||||||||
Assistant(s) | - |
Course Objectives | The objective of this course is to teach the students the fundamental issues in distributed systems with a strong emphasis on data management. After taking the course, students are expected to have an understanding of topics ranging from distributed transaction management and enhanced concurrency control to data replication and distributed query processing and optimization. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | Distributed database design, distributed transaction management and concurrency control, data replication, distributed query processing and optimization. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Overview of Relational DBMS | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 2) |
2 | Distributed DBMS Architecture | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 4) |
3 | Distributed Database Design | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 5) |
4 | Semantic Data Control | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 6) |
5 | Overview of Query Processing | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 7) |
6 | Query Decomposition and Data Localization | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 8) |
7 | Centralized Query Optimization | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 9.1, 9.2) |
8 | Midterm | |
9 | Optimization of Distributed Queries | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 9.3, 9.4) |
10 | Introduction to Transaction Management | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 10) |
11 | Distributed Concurrency Control | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 11) |
12 | Distributed DBMS Reliability | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 12.1, 12.2, 12.3, 12.4) |
13 | Distributed DBMS Reliability | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 12.5, 12.6, 12.7, 12.8) |
14 | Project Presentations | |
15 | Semester Review | |
16 | Final Exam |
Course Notes/Textbooks | Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999, 978-0136597070 |
Suggested Readings/Materials |
Semester Activities | Number | Weighting |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | 1 | 20 |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 35 |
Final Exam | 1 | 45 |
Total |
Weighting of Semester Activities on the Final Grade | 2 | 55 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 45 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 14 | 3 | 42 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | 1 | 30 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 10 | |
Final Exams | 1 | 20 | |
Total | 150 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems. | X | ||||
2 | To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. | X | ||||
4 | To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently. | X | ||||
5 | To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas. | X | ||||
6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually. | X | ||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions | |||||
8 | To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions. | X | ||||
9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. | X | ||||
10 | To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language. | X | ||||
12 | To be able to speak a second foreign at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest