GRADUATE SCHOOL

Ph.D. In Computer Engineering

CE 603 | Course Introduction and Application Information

Course Name
Advanced Distributed Database Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 603
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to provide the students with an in-depth understanding of distributed database technology and to equip them with the background required to conduct research in the area of distributed databases. Topics ranging from distributed transaction management and enhanced concurrency control to data replication and distributed query processing and optimization will be discussed throughout the course.
Learning Outcomes The students who succeeded in this course;
  • will be able to give an in-depth description of distributed database technology.
  • will be able to describe how to implement transaction management and concurrency control in distributed database management systems.
  • will be able to design distributed databases in the presence of fragmentation and replication.
  • will be able to use serializability theory for assessing the correctness of optimistic and pessimistic concurrency control algorithms which are based on either locking or timestamp ordering.
  • will be able to interpret the concept of the reliability of a distributed database management system and implement distributed recovery and commit protocols in the presence of site failures and network partitioning.
Course Description In this course, topics ranging from distributed database design, distributed transaction management and enhanced concurrency control to data replication and distributed query processing and optimization will be discussed.

 



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 Optimization of Distributed Queries Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 9)
8 Midterm
9 Optimization of Distributed Queries Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 9)
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. 11.1, 11.2, 11.3)
12 Distributed Concurrency Control Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 11.4, 11.5, 11.6, 11.7)
13 Distributed DBMS Reliability Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 12.1, 12.2, 12.3, 12.4)
14 Distributed DBMS Reliability Ozsu, Valduriez, Principles of Distributed Database Systems, 2/e, Prentice Hall, 1999 (Ch. 12.5, 12.6, 12.7, 12.8)
15 Review
16 -

 

Course Notes/Textbooks The textbook referenced above and course slides
Suggested Readings/Materials Related Research Papers

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
6
30
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
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
15
5
75
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
6
8
48
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
20
20
Final Exam
1
34
34
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Understands and applies the foundational theories of Computer Engineering in a high level. X
2 Possesses a great depth and breadth of knowledge about Computer Engineering including the latest developments. X
3 Can reach the latest information in Computer Engineering and possesses a high level of proficiency in the methods and abilities necessary to comprehend it and conduct research with it. X
4 Conducts a comprehensive study that introduces innovation to science and technology, develops a new scientific procedure or a technological product/process, or applies a known method in a new field. X
5 Independently understands, designs, implements and concludes a unique research process in addition to managing it. X
6 Contributes to science and technology literature by publishing the output of his/her academic studies in respectable academic outlets. X
7 Interprets scientific, technological, social and cultural developments and relates them to the general public with a commitment to scientific objectivity and ethical responsibility. X
8 Performs critical analysis, synthesis and evaluation of ideas and developments in Computer Engineering. X
9 Performs verbal and written communications with professionals as well as broader scientific and social communities in Computer Engineering, by using English at least at the European Language Portfolio C1 General level, performs written, oral and visual communications and discussions in a high level. X
10 Develops strategies, policies and plans about systems and topics that Computer Engineering uses, and interprets the outcomes. X

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

 


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