SEN2104 Database Management SystemsBahçeşehir UniversityDegree Programs COMPUTER ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
COMPUTER 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

Basic information

Language of instruction: English
Type of course: Must Course
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 computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. 5
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 5
3) Ability to design a complex 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 computer 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 computer engineering research topics.
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active 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; 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 engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.