COMP 305 Database Management SystemsMEF UniversityDegree Programs Computer EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Computer Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code COMP 305
Course Title in English Database Management Systems
Course Title in Turkish Veritabanı Yönetim Sistemleri
Language of Instruction EN
Type of Course Exercise,Lecture
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other: 0
Estimated Student Workload 138 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites COMP 106 - Object-Oriented Programming | COMP 110 - Object-Oriented Programming (JAVA)
Expected Prior Knowledge Object Oriented Programming
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn the fundamentals of database technology.
Course Description The main objective of this course is to present the fundamentals of database technology. The course is mainly designed to teach the use of a database management system (DBMS) by treating it as a black box and by focusing only on its functionality and its interfaces. Within this context, the course will deal with data modeling and design of a database. This course provides a comprehensive introduction to some fundamental aspects of Database Management. The following topics are covered: Database concepts, Relational model, Application development, Database design, normalization, entity-relationship models.
Course Description in Turkish Dersin amacı öğrencilerin bir bilgi sisteminin temelini oluşturan veri tabanının mantıksal ve fiziksel olarak nasıl modellendiğini, nasıl yönetildiğini, ve özellikle verinin bilgiye dönüştürülmesi safhalarında yapacakları müdahaleleri öğrenmeleridir. Öğrencilerin bu veri tabanı yönetim sistemini kullanarak veri tabanı yönetimi konusunda da uzmanlaşması beklenmektedir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Describe the fundamental elements of relational database management systems
2) Explain the basic concepts of relational data model, entity-relationship model, relational database design, relational algebra and SQL.
3) Design ER-models to represent simple database application scenarios
4) Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data.
5) As a member of a team, design a new DBMS.
6) Present the DBMS project in front of an audience.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics S Exam,Participation
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam,Participation,Project
3) An ability to communicate effectively with a range of audiences S Project
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives S Project
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions N
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. N
Prepared by and Date İLKER BEKMEZCİ , January 2021
Course Coordinator İLKER BEKMEZCİ
Semester Fall
Name of Instructor Prof. Dr. İLKER BEKMEZCİ

Course Contents

Week Subject
1) Introduction and Fundamental Concepts
2) ER Diagram 1
3) ER Diagram 2
4) Relational Algebra and Calculus
5) Relational Model
6) Normalization of a Relation
7) SQL Queries – DDL
8) Implementation of DBMS
9) Project Presentations - 1
10) SQL Queries – DML
11) SQL Queries – Advanced DML -1
12) SQL Queries – Advanced DML -2
13) Database Application Development
14) Stored procedures
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsDatabase management systems, by Raghu Ramakrishnan and Johannes Gehrke. 3rd edition, McGraw-Hill.
Teaching MethodsLecturing, in-class exercises and 1 term project will be carried out by students
Homework and ProjectsIn-class exercises, 1 term project
Laboratory WorkNone
Computer UseFor Database design, Database querying, and Database Administration
Other Activities
Assessment Methods
Assessment Tools Count Weight
Attendance 10 % 15
Homework Assignments 1 % 35
Project 1 % 50
TOTAL % 100
Course Administration bekmezcii@mef.edu.tr

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 1 70
Project 1 15 1 16
Homework Assignments 2 4 3 14
Midterm(s) 2 16 3 38
Total Workload 138
Total Workload/25 5.5
ECTS 6