FACULTY OF ENGINEERING

Department of Computer Engineering

CE 370 | Course Introduction and Application Information

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
  CE 223 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Lecture / 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;
  • will be able to explain distributed database technology comprehensively.
  • will be able to describe transaction management and concurrency control in distributed database management systems.
  • will be able to design distributed databases when fragmentation and/or replication are required.
  • will be able to assess the correctness of optimistic and pessimistic concurrency control algorithms which are based on either locking or timestamp ordering.
  • will be able to apply distributed recovery and commit protocols in the presence of site failures and network partitioning.
Course Description Distributed database design, distributed transaction management and concurrency control, data replication, distributed query processing and optimization.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
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

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exams
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

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
30
30
Seminar / Workshop
0
Oral Exam
0
Midterms
1
10
10
Final Exam
1
20
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

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 global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language 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 Computer Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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