FACULTY OF ENGINEERING

Department of Mechatronics 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
Service Course
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
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 knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems

2

To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.

3

To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose.

4

To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively.

5

To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems.

6

To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both in oral and written forms; 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 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 engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; information on standards used 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

Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1)

12

To be able to use the second foreign language at intermediate level.

13

To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering.

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

 


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