ECTS - Introduction to Database Management Systems

Introduction to Database Management Systems (CMPE301) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Database Management Systems CMPE301 5. Semester 2 2 0 3 5
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, Mix
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer, Problem Solving, Team/Group, Brain Storming, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to teach fundamental database concepts, and methods to design and develop database systems. This course also aims at teaching database query languages.
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
  • Build database queries using SQL
Course Content Database concepts, database management systems (DBMS); relational data model and relational DBMS; use of ER-diagrams in database design; normalizing relations; structured query language (SQL); a popular DBMS in a laboratory environment.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 DB system concepts Chapter 1 (main text)
2 DB system concepts Chapter 2
3 ER model Chapter 3
4 ER model Chapter 3
5 EER model Chapter 4
6 Case Studies (ER/EER model) Lecture Notes
7 Relational data model & Relational DB concepts Chapter 5
8 ER- and EER-to-Relational Mapping Chapter 7
9 ER- and EER-to-Relational Mapping Chapter 7
10 Practice problems (Relational Mapping) Lecture Notes
11 Functional Dependencies Chapter 10
12 Normalization of Relational Tables Chapter 10
13 Normalization of Relational Tables Chapter 10
14 Case Studies (Normalization) SQL: Creating Tables and Including Constraints Lecture Notes Chapter 8
15 Review
16 Review

Sources

Course Book 1. “Fundamentals of Database Systems”, Elmasri & Navathe, 5th Edition, Pearson Addison Wesley, 2007.
Other Sources 2. Oracle 8i: A Practical Guide to SQL, PL/SQL, and Developer 6, Ali Yazıcı and Aydın Şekihanov, Atılım Yayınları, 2001.
3. Database Application Development & Design”, 3rd Ed., McGraw-Hill, M.V. Mannino, McGraw-Hill, 2005.
4. Database Systems, Molina, Ullman, Widom, 2nd edition, Pearson, Prentice Hall, 2009.
5. Database System Concepts, Silberschatz, Korth and Sudarshan, Mc Graw Hill, 2006
6. http://www.sql.org/, An SQL Tutorial

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 3 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
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 Acquires sufficient knowledge in mathematics, natural sciences, and related engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
2 Gains the ability to identify, define, formulate, and solve complex engineering problems; acquires the skill to select and apply appropriate analysis and modeling methods for this purpose. X
3 Gains the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions, and applies modern design methods for this purpose.
4 Develops the skills to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; gains the ability to effectively use information technologies. X
5 Gains the ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. X
6 Acquires the ability to work effectively in intra-disciplinary and multidisciplinary teams, as well as individual work skills. X
7 Acquires effective oral and written communication skills in Turkish; at least one foreign language proficiency; gains the ability to write effective reports, understand written reports, prepare design and production reports, make effective presentations, and give and receive clear instructions.
8 Develops awareness of the necessity of lifelong learning; gains the ability to access information, follow developments in science and technology, and continuously renew oneself.
9 Acquires the consciousness of adhering to ethical principles, and gains professional and ethical responsibility awareness. Gains knowledge about the standards used in industrial engineering applications.
10 Gains knowledge about practices in the business life such as project management, risk management, and change management. Develops awareness about entrepreneurship and innovation. Gains knowledge about sustainable development.
11 Gains knowledge about the universal and social dimensions of the impacts of industrial engineering applications on health, environment, and safety, as well as the problems reflected in the engineering field of the era. Gains awareness of the legal consequences of engineering solutions.
12 Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy.
13 Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory 3 4 12
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project 1 4 4
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 111