BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| INTERNATIONAL FINANCE AND BANKING | |||||
| 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: | 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 |