ECTS - Advanced Databases
Advanced Databases (CMPE541) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Advanced Databases | CMPE541 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Computer Engineering Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce students to advanced concepts of designing and implementing database systems. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Database system concepts, transaction processing, concurrency control and database recovery, object-oriented and object-relational databases, semi-structured data and XML, parallel and distributed databases, advanced concepts of distributed databases, introduction to big data, temporal databases. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction | Lecture Notes |
2 | Transaction Processing Concepts | Lecture Notes Chapter 20 (Text Book 1) Chapter 17 (Text Book 2) |
3 | Transaction Processing Concepts | Lecture Notes Chapter 20 (Text Book 1) Chapter 17 (Text Book 2) |
4 | Concurrency Control Techniques | Lecture Notes Chapter 20 (Text Book 1) Chapter 18 (Text Book 2) |
5 | Concurrency Control Techniques | Lecture Notes Chapter 20 (Text Book 1) Chapter 18 (Text Book 2) |
6 | Database Recovery Techniques | Lecture Notes Chapter 20 (Text Book 1) Chapter 19 (Text Book 2) |
7 | Object-oriented and Object-relational databases | Lecture Notes Chapter 26, 27, 28 (Text Book 1) Chapter 10 (Text Book 2) |
8 | Semi-structured data and XML | Lecture Notes Chapter 30 (Text Book 1) Chapter 11 (Text Book 2) |
9 | Semi-structured data and XML | Lecture Notes Chapter 30 (Text Book 1) Chapter 11 (Text Book 2) |
10 | Parallel and Distributed Databases | Lecture Notes Chapter 22 (Text Book 1) Chapter 20 (Text Book 2) |
11 | Distributed Databases – Advanced Concepts | Lecture Notes Chapter 23 (Text Book 1) |
12 | Distributed Databases – Advanced Concepts | Lecture Notes Chapter 23 (Text Book 1) |
13 | Big Data – Apache Hadoop, MapReduce & Pig Latin | Lecture Notes |
14 | Temporal Databases | Lecture Notes |
15 | Review | |
16 | Review |
Sources
Course Book | 1. “Database Systems: A practical Approach to Design, Implementation, and Management”, T. Collony & Carolyn Begg, 5th Edition, Addison-Wesley, 2010. |
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2. Database Systems: The Complete Book, 2nd Ed, Garcia-Molina, Ullman and Widom, Pearson, 2008. | |
Other Sources | 3. “Fundamentals of Database Systems”, 5th Edition, Ramez Elmasri & Shamkant B. Navathe, Addison-Wesley, 2006. |
4. Apache Hadoop Project, available at http://hadoop.apache.org/ |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | 3 | 30 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 35 |
Final Exam/Final Jury | 1 | 35 |
Toplam | 5 | 100 |
Percentage of Semester Work | 65 |
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Percentage of Final Work | 35 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | X |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | To become familiar with the state-of-the art and the literature in the software engineering research domain | |||||
2 | An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area | |||||
3 | Be able to conduct quantitative and qualitative studies in software engineering | |||||
4 | Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems | |||||
5 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | X | ||||
6 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
7 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | X | ||||
8 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | X | ||||
9 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 3 | 48 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 3 | 4 | 12 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 8 | 8 |
Prepration of Final Exams/Final Jury | 1 | 14 | 14 |
Total Workload | 130 |