SEN2104 Database Management SystemsBahçeşehir UniversityDegree Programs ELECTRICAL AND ELECTRONICS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ELECTRICAL AND ELECTRONICS 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 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: Hybrid
Course Coordinator : Dr. Öğr. Üyesi TAMER UÇAR
Course Lecturer(s): Dr. Öğr. Üyesi TAMER UÇAR
RA SEVGİ CANPOLAT
Dr. Öğr. Üyesi 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.

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) Applying Relational Algebra Principles to Database Design and Practice
7) Structured Query Language (SQL)
8) Structured Query Language (SQL)
9) Relational Database Design
10) Relational Database Design
11) Relational Database Design
12) Indexing and Query Processing
13) Query Processing and Query Optimization
14) Data Analysis and Data Mining

Sources

Course Notes / Textbooks: Database System Concepts (6th Edition), Abraham Silberschatz, Henry Korth and S. Sudarshan, ISBN-13: 978-0073523323

Fundamentals of Database Systems (7th Edition), Ramez Elmasri and Shamkant Navathe, ISBN-13: 978-0133970777
References: -

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 3 % 20
Project 1 % 15
Midterms 1 % 25
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 45
PERCENTAGE OF FINAL WORK % 55
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) Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.