Software Engineering Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI338

Course Name:

Database Management Systems

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Öğr. Gör. AHMET SELİM ÖVER

Course Lecturer(s):

Öğr. Gör. Ahmet Selim Över

Course Assistants:

Course Objective and Content

Course Objectives:	In this course, it is aimed to understand basic concepts of database management systems, writing complex and nested SQL commands, develop ability to manage and design relational database systems
Course Content:	Database Management Systems, Relational Database Management Systems, Normalization Rules, SQL commands, Entity-Relation(ER) Modelsi Database Design Theory, Applications of Database Management Systems

Learning Outcomes

The students who have succeeded in this course;
1) To comprehend the basic of database management systems, creating table, understanding data types and scopes, creating index, understanding properties of primary key and foreign key in tables
2) To design relational database that any software will use at the background.
3) To be able to write basic queries with SQL commands.
4) To be able to write advanced queries with nested SQL commands
5) To be able to extract the ER(Entity-Relation) model of a database

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to Database Management Systems	No prior preparation is required.
2)	Introduction to Relational Database Management Systems	No prior preparation is required.
3)	Creating SQL Table, Introduction to Declare structure.	No prior preparation is required.
4)	SQL(Structured Query Language), SELECT commands and usage ORDER BY, BETWEEN, WHERE with SELECT.	No prior preparation is required.
5)	SQL(Structured Query Language), INSERT, UPDATE, DELETE commands	No prior preparation is required.
6)	SQL date and time functions	No prior preparation is required.
7)	SQL aggregate functions(COUNT, AVG, SUM, MIN, MAX etc.)	No prior preparation is required.
8)	Midterm	1-7. Week Repeat
9)	SQL aggregate functions	No prior preparation is required.
10)	Nested SQL commands, combine rows from two or more tables, based on relational field between them	No prior preparation is required.
11)	UNION command and JOIN commands, usage of HAVING and EXISTS	No prior preparation is required.
12)	Creating Views and Procedures	No prior preparation is required.
13)	View and Procedure creation continued	12. Week Repeat
14)	General topic repetition and question solutions	1-14
15)	Final	1-14. Week Repeat

Sources

Course Notes / Textbooks:	Veritabanı Yönetim Sistemleri - Turgut Özseven / EKİN KİTABEVİ YAYINLARI
References:	Ömer Faruk Çolakoğlu – SQL Öğreniyorum Link:https://www.btkakademi.gov.tr/portal/course/uygulamalarla-sql-oegreniyorum-8249 Engin Demiroğ – SQL Kursu Link: https://www.udemy.com/course/sql-kursu

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) The adequate knowledge of mathematics, science and related engineering discipline; the ability to use the theoretical and practical knowledge in these areas in engineering problems.
2) The ability to design a system, process or product to meet specific requirements under realistic conditions associated with economic, environmental, socio-political, ethical, health, safety, reproducibility and sustainability.
3) The ability to describe, formulate and solve engineering problems; the ability to select and apply the necessary method for the solution.
4) The ability to develop, select and use modern techniques for the analysis and solution of problems encountered in engineering applications; the ability to use information technologies effectively.
5) The ability to design experiments, conduct experiments, collect data, analyze and interpret the results in order to examine engineering problems or disciplinary research topics.
6) The ability to work effectively in multi-disciplinary teams.
7) The ability to communicate effectively through oral and written communication, writing effective reports and understanding written reports.
8) To be aware of ethical principles, professional and ethical responsibility; the knowledge about the standards used in engineering applications.
9) The ability to use a foreign language at a minimum B1 level in terms of European Language Portfolio criteria.
10) To be aware of the necessity of lifelong learning; the ability to access information, to follow the developments in science and technology and to renew themselves continuously.
11) The ability to use information and communication technologies together with computer software at the Advanced level of European Computer Driving License.
12) Information on project management and risk management practices; awareness of entrepreneurship and innovation; knowledge about sustainable development.
13) Knowledge and awareness about the effects of engineering applications on environment, health and safety on universal scale and legal consequences.
14) The ability to apply the principles of algorithm, mathematical foundations and theory of computer science in modeling and design of computer based systems by analyzing software alternatives.
15) In addition to advanced mathematics education including differential equations, integral calculus, logic and discrete mathematics, an engineering education in software engineering including data structures and algorithms, programming languages, operating systems, computer security, computer theory, network programming and machine learning.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	The adequate knowledge of mathematics, science and related engineering discipline; the ability to use the theoretical and practical knowledge in these areas in engineering problems.
2)	The ability to design a system, process or product to meet specific requirements under realistic conditions associated with economic, environmental, socio-political, ethical, health, safety, reproducibility and sustainability.
3)	The ability to describe, formulate and solve engineering problems; the ability to select and apply the necessary method for the solution.
4)	The ability to develop, select and use modern techniques for the analysis and solution of problems encountered in engineering applications; the ability to use information technologies effectively.
5)	The ability to design experiments, conduct experiments, collect data, analyze and interpret the results in order to examine engineering problems or disciplinary research topics.
6)	The ability to work effectively in multi-disciplinary teams.
7)	The ability to communicate effectively through oral and written communication, writing effective reports and understanding written reports.
8)	To be aware of ethical principles, professional and ethical responsibility; the knowledge about the standards used in engineering applications.
9)	The ability to use a foreign language at a minimum B1 level in terms of European Language Portfolio criteria.
10)	To be aware of the necessity of lifelong learning; the ability to access information, to follow the developments in science and technology and to renew themselves continuously.
11)	The ability to use information and communication technologies together with computer software at the Advanced level of European Computer Driving License.
12)	Information on project management and risk management practices; awareness of entrepreneurship and innovation; knowledge about sustainable development.
13)	Knowledge and awareness about the effects of engineering applications on environment, health and safety on universal scale and legal consequences.
14)	The ability to apply the principles of algorithm, mathematical foundations and theory of computer science in modeling and design of computer based systems by analyzing software alternatives.
15)	In addition to advanced mathematics education including differential equations, integral calculus, logic and discrete mathematics, an engineering education in software engineering including data structures and algorithms, programming languages, operating systems, computer security, computer theory, network programming and machine learning.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 15
Midterms	1	% 35
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	3	15	2		51
Homework Assignments	1	15	1		16
Midterms	1	25	2		27
Final	1	30	2		32
Total Workload					126