ENERGY SYSTEMS ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN2104	Database Management Systems	Fall Spring	3	2	4	7

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Assist. Prof. TAMER UÇAR
Course Lecturer(s):	Assist. Prof. TAMER UÇAR RA SEVGİ CANPOLAT Assist. Prof. ÖZGÜR ERKUT ŞAHİN RA MERVE ARITÜRK Prof. Dr. ADEM KARAHOCA
Recommended Optional Program Components:	None
Course Objectives:	The students will have the ability to analyze and design databases using the entity-relationship model. They will have the ability to define database querying techniques such as relational algebra and SQL. Besides these topics, the students will have the ability to identify relational database design approaches, indexing, query processing, and query optimization. Students will be able to define basic data analysis and data mining concepts. Teaching Methods and Techniques Used in the Course: Lecture, reading, implementation, individual study, problem solving

Learning Outcomes

The students who have succeeded in this course;
1. Define the entity-relationship model.
2. Define the relational data model.
3. Define the relational algebra query language.
4. Define the SQL language.
5. Identify the relational database design approach.
6. Identify indexing, query processing and query optimization.
7. Define basic data analysis and data mining concepts.

Course Content

The course content is composed of entity-relationship model, relational data model, relational algebra, SQL, relational database design, indexing, query processing, query optimization, data analysis and data mining related topics.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Database Management Systems
2)	Entity-Relationship Model
3)	Introduction to Relational Data Model
4)	Relational Algebra
5)	Relational Algebra
6)	Structured Query Language (SQL)
7)	Structured Query Language (SQL)
8)	Midterm Exam
9)	Relational Database Design
10)	Relational Database Design
11)	Relational Database Design
12)	Indexing and Query Processing
13)	Query Processing and Query Optimization
14)	Introduction to Data Analysis and Data Mining Concepts

Sources

Course Notes / Textbooks:	A. Silberschatz, H. F. Korth, S. Sudarshan, “Database System Concepts”, 6th edition, McGraw Hill R. Elmasri, S. Navathe, “Fundamentals of Database Systems”, 7th edition, Pearson
References:	-

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	3	% 25
Midterms	1	% 35
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Total Workload

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2)	Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose.
3)	Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4)	Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively.
5)	Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering.
6)	Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems
7)	Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8)	Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.	3
9)	Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications.
10)	Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11)	Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions.