Software Engineering | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | UNI338 | ||||
Course Name: | Database Management Systems | ||||
Semester: | Fall | ||||
Course Credits: |
|
||||
Language of instruction: | Turkish | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | University Elective | ||||
Course Level: |
|
||||
Mode of Delivery: | Face to face | ||||
Course Coordinator: | Öğr. Gör. AHMET SELİM ÖVER | ||||
Course Lecturer(s): | Öğr. Gör. Ahmet Selim Över | ||||
Course Assistants: |
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 |
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 |
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 |
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 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. |
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. |
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 |
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 |