ECTS - Database Design & Management

Database Design & Management (COMPE741) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Database Design & Management COMPE741 3 0 2 4 7.5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course involves students in real-life problems and theory on database systems and encourages teamwork in the design and implementation of database systems.
Course Learning Outcomes The students who succeeded in this course;
  • Describe fundamental concepts of database systems
  • Practice on ER and EER data modeling
  • Design and implement a relational database system
  • Use SQL for database querying
Course Content Database system concepts. Data modeling with ER and EER. The Relational Data Model. File organizations and index structures. Relational algebra. Structured Query Language (SQL). Database design: functional dependence and table normalization. Introduction to database administration. A relational DBMS will be introduced in a laboratory environment.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 DB system concepts 1.1 – 1.5, 2.1 – 2.3.1, 2.5.2 (main text)
2 ER model 3.1 - 3.7
3 EER model 4.1-4.3, 4.5
4 Relational model & Relational DB concepts 5.1-5.3
5 Relational Algebra 6.1-6.5
6 ER- and EER-to-Relational Mapping 7.1 – 7.2.2
7 DB Design 10.1-10.2.2
8 DB Design 10.3
9 DB Design 10.5-11.1
10 File Organization 13.1-13.8.2, 13.9-13.10.2
11 Index structures 14.1-14.2
12 Index structures 14.3
13 Database Authorization, Security and Privacy 23.1-23.2
14 Database Authorization, Security and Privacy 23.4
15 Review
16 Review

Sources

Course Book 1. “Fundamentals of Database Systems”, 5th Edition, Ramez Elmasri & Shamkant B. Navathe, Addison-Wesley, 2006.
2. “Oracle 9i: SQL with an introduction to PL/SQL”, L. L. Morris-Murphy, Thomson Course Technology, 2003
Other Sources 3. “Principles of Database Systems with Internet and Java Applications”, Greg Ricardi, Addison-Wesley, 2001.
4. “Database Application Development & Design”, 3rd Ed., McGraw-Hill, M.V. Mannino, McGraw-Hill, 2005.
5. http://sqlCourse.com/ (Interactive Online SQL Training)
6. “Database Systems: A practical Approach to Design, Implementation, and Management”, T. Collony & Carolyn Begg, 4th Edition, Addison-Wesley, 2005.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 3 20
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 30
Toplam 6 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses
Major Area Courses
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 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues.
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application 3 7 21
Special Course Internship
Field Work
Study Hours Out of Class 16 5 80
Presentation/Seminar Prepration
Project 1 20 20
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 30 30
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 181