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:

Spring

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) Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions.

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