BIOMEDICAL ENGINEERING | |||||
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: | 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. |
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 / 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: | - |
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 |
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) | Adequate knowledge of subjects specific to mathematics (analysis, linear, algebra, differential equations, statistics), science (physics, chemistry, biology) and related engineering discipline, and the ability to use theoretical and applied knowledge in these fields in complex engineering problems. | |
2) | Identify, formulate, and solve complex Biomedical Engineering problems; select and apply proper modeling and analysis methods for this purpose | |
3) | Design complex Biomedical systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. | |
4) | Devise, select, and use modern techniques and tools needed for solving complex problems in Biomedical Engineering practice; employ information technologies effectively. | |
5) | Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Biomedical Engineering. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Biomedical Engineering-related problems. | |
7) | Ability to communicate effectively in Turkish, oral and written, to have gained the level of English language knowledge (European Language Portfolio B1 general level) to follow the innovations in the field of Biomedical Engineering; gain the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. | |
9) | Having knowledge for the importance of acting in accordance with the ethical principles of biomedical engineering and the awareness of professional responsibility and ethical responsibility and the standards used in biomedical engineering applications | |
10) | Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Acquire knowledge about the effects of practices of Biomedical Engineering on health, environment, security in universal and social scope, and the contemporary problems of Biomedical Engineering; is aware of the legal consequences of Mechatronics engineering solutions. |