SEN2104 Database Management SystemsBahçeşehir UniversityDegree Programs ECONOMICS AND FINANCEGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ECONOMICS AND FINANCE
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) Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. 3
2) Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. 2
3) Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. 1
4) Analyze the interventions of politics to the economics and vice versa. 3
5) Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. 2
6) Understand current and new economic events and how the new approaches to the economics are formed and evaluating. 2
7) Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. 3
8) Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. 2
9) Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. 2
10) Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. 3