ECTS - Database Design and Management

Database Design and Management (CMPE341) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Database Design and Management CMPE341 5. Semester 3 2 0 4 7
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
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 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

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 1 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 15
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 4 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. X
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually X
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. X
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management;
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems. X
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 5 80
Laboratory 1 10 10
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 20 20
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 177