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Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
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. |
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 |
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) | 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 |
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: | - |
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 |
Activities | Number of Activities | Duration (Hours) | Workload |
Total Workload |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To prepare students to become communication professionals by focusing on strategic thinking, professional writing, ethical practices, and the innovative use of both traditional and new media | 2 |
2) | To be able to explain and define problems related to the relationship between facts and phenomena in areas such as Advertising, Persuasive Communication, and Brand Management | |
3) | To critically discuss and interpret theories, concepts, methods, tools, and ideas in the field of advertising | |
4) | To be able to follow and interpret innovations in the field of advertising | |
5) | To demonstrate a scientific perspective in line with the topics they are curious about in the field. | |
6) | To address and solve the needs and problems of the field through the developed scientific perspective | |
7) | To recognize and understand all the dynamics within the field of advertising | |
8) | To analyze and develop solutions to problems encountered in the practical field of advertising |