FACULTY OF ARTS AND SCIENCES

Department of Mathematics

CE 223 | Course Introduction and Application Information

Course Name
Database Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 223
Fall/Spring
3
2
4
7

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Application: Experiment / Laboratory / Workshop
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The goal of this course is to give basic knowledge of database systems to a student who intends to be a computer or software engineer. It provides a comprehensive introduction to relational data model and entityrelationship data model as a design tool. Functional and multivalued dependencies in the context of normalization process are described in detail for designing relational database schema. SQL database language and system aspects of SQL such as transaction management, indexing, constraints, triggers and authorization are studied in detail together with laboratory practices illustrating different ways of database programming.
Learning Outcomes The students who succeeded in this course;
  • identify and define the information that is needed to design a database schema for a database application
  • create conceptual and physical database designs for a management information system by drawing the E/R diagram and performing the normalization of relations
  • understand the core terms, concepts, and tools of relational database management systems
  • query a database using SQL
  • implement database applications by properly managing concurrent transactions
  • finetune a database design to improve the performance of applications by the use of beneficial indexes and additional data structures conforming to the characteristics of applications running on them
Course Description Topics related to both database design and database programming are covered.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Database Systems, Relational Data Model, Semi Structured Data Model J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 1, Ch. 2.1, 2.2, 2.3, Ch. 11.1, 11.2, 11.3)
2 Entity-Relationship Data Model J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 4.1, 4.2, 4.3, 4.4, 4.5, 4.6)
3 Introduction to Relational Databases, Functional Dependencies J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 2.4, 3.1, 3.2, 3.3, 3.4, 3.5)
4 Design of Relational Databases, Multivalued Dependencies J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 3.6, 3.7)
5 Functional Dependencies and Multivalued Dependencies Revisited J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 2.4, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7)
6 Introduction to SQL (Part I) J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 6.1, 6.2, 6.3, 6.4.1, 6.4.2)
7 Introduction to SQL (Part II) J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 5.2, 6.4, 6.5)
8 Midterm
9 Constraints and Triggers J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 7)
10 SQL Programming: Embedded SQL, PSM (PL/SQL) J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 9.3, 9.4)
11 SQL Programming: CLI, JDBC, PHP/PEAR J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 9.1, 9.2, 9.5, 9.6, 9.7)
12 Transactions, Views, Indexes J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 6.6, 8.1, 8.2, 8.3, 8.4, 8.5)
13 SQL Authorization J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 10.1)
14 Logical Query Languages (Datalog) and SQL Recursion J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008 (Ch. 5.3, 5.4, 10.2)
15 Review of the Semester
16 Final Exam

 

Course Notes/Textbooks Textbook "J. D. Ullman, J. Widom, A First Course In Database Systems, 3/e, PrenticeHall, 2008" and course slides (Book’s URL: http://wwwdb.stanford.edu/~ullman/fcdb.html)
Suggested Readings/Materials Reference Book: Silberschatz et. al., Database System Concepts, 4th ed., McGrawHill, 2002.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
15
Field Work
Quizzes / Studio Critiques
1
15
Portfolio
Homework / Assignments
1
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
4
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
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
1
15
15
Portfolio
0
Homework / Assignments
12
2
24
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
21
21
Final Exam
1
28
28
    Total
210

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

X
5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

X
6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

X
10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

12

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

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

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

 


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