SEN2104 Database Management SystemsBahçeşehir UniversityDegree Programs ECONOMICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ECONOMICS
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 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: 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) As a world citizen, she is aware of global economic, political, social and ecological developments and trends. 
2) He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning.
3) Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. 
4) Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. 
5) Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions.
6) Comprehends new ways of doing business using digital technologies. and new market structures. 
7) Takes critical approach to economic and social problems and develops analytical solutions.
8) Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods.
9) In the works he/she contributes, observes individual and social welfare together and with an ethical perspective.  
10) Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. 
11) Generates original and innovative ideas in the works she/he contributes as part of a team.