FACULTY OF ENGINEERING

Department of Computer Engineering

SE 306 | Course Introduction and Application Information

Course Name
Database Management Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 306
Fall/Spring
2
2
3
5

Prerequisites
  CE 223 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives To provide a broad base for learning data definition, data modelling database design and implementation by using ORACLE DBMS toolkit software.
Learning Outcomes The students who succeeded in this course;
  • To develop an analytical approach to a realworld situation
  • To develop prroblemsolving skills
  • Be able to construct a data model, logical database design, database implementation and processing
  • Be able to design database interfaces
Course Description Learning data modelling techniques with traditional Entity Relationship Model as well as UML’s Use Case and Class diagrams. Data definition and creating database objects by using SQL language. Developing database solutions in response to a set of user requirements by using Oracle DBMS tool. To use ‘stored procedures’ and ‘ triggers’ in SQL programs in a problem solving approach.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to DBMS systems Slides and lecture notes
2 Data modelling with Entity Relationship Model. Data modelling with UML Use Case and Class Diagrams Slides and lecture notes
3 Relational Model and Relational algebra Slides and lecture notes
4 Normalisation Slides and lecture notes
5 Normalisation, Revised data model Slides and lecture notes
6 Structured Query Language(data definition) Slides and lecture notes
7 Structured Query Language(constructing the database) Slides and lecture notes
8 Structured Query Language(stored procedures and triggers) Slides and lecture notes
9 Query optimisation Slides and lecture notes
10 Database processing, data integrity and security Slides and lecture notes
11 Database processing, concurrency and recovery Slides and lecture notes
12 Data farms Slides and lecture notes
13 Cloud computing Slides and lecture notes
14 Big Data I Slides and lecture notes
15 Big Data II Slides and lecture notes
16 Course Review

 

Course Notes/Textbooks “Database Systems”, T Connoly, C. Begg, Addiison Wesley publishers
Suggested Readings/Materials

“An Introduction to Database Systems”, C J Date, Addison Wesley

“Database Management Systems”, R Ramakrishnan, J Gehrke, McGrawHill

“Relational Database Principles”, C Ritchie, Letts Educational

“Fundamentals of SQL programming”, R MataToledo, P K Cushman, Schaum’s Outlines

“Oracle Programming: A Primer”, R Sunderraman, Addison Wesley

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
2
30
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
16
2
32
Field Work
0
Quizzes / Studio Critiques
2
7
14
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
15
15
Final Exam
1
25
25
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

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

 


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