| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| SEN2104 | Database Management Systems | Fall | 3 | 2 | 4 | 7 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| 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 |
| 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. |
|
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. |
| 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. |
| 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 | ||
| Course Notes: | 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: | - |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | 3 | % 20 |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | 1 | % 15 |
| Seminar | % 0 | |
| Midterms | 1 | % 25 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 45 | |
| PERCENTAGE OF FINAL WORK | % 55 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 0 | 0 | 0 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 0 | 0 | 0 |
| Total Workload | 0 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |