Course Name | Database Management Systems |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
SE 306 | Fall/Spring | 2 | 2 | 3 | 5 |
Prerequisites |
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Course Language | English | ||||||||
Course Type | Elective | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | |||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) | - |
Course Objectives | To provide a broad base for learning data definition, data modelling database design and implementation by using ORACLE DBMS toolkit software. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | Learning data modelling techniques with traditional Entity Relationship Model as well as UML’s Use Case and Class diagrams. Data definition and creating database objects by using SQL language. Developing database solutions in response to a set of user requirements by using Oracle DBMS tool. To use ‘stored procedures’ and ‘ triggers’ in SQL programs in a problem solving approach. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction to DBMS systems | |
2 | Data modelling with Entity Relationship Model. Data modelling with UML Use Case and Class Diagrams | Preparation of various scenarios to form a basis for the analysis work |
3 | Relational Model and Relational algebra | Examples of relations from realworld situations |
4 | Normalisation | Various examples to be normalised |
5 | Normalisation, Revised data model | |
6 | Structured Query Language(data definition) | SQL examples (with Oracle SQL) |
7 | Structured Query Language(constructing the database) | SQL examples from realworld situations |
8 | Structured Query Language(stored procedures and triggers) | Application based examples |
9 | Query optimisation | With Oracle facilities |
10 | Database processing, data integrity and security | “ “ “ |
11 | Database processing, concurrency and recovery | “ “ “ |
12 | Trends, web databases | Examples of web databases |
13 | Trends, data warehousing | |
14 | Review of the semester’s topics | |
15 | Presentation of the students’ projects | |
16 | Review of the Semester |
Course Notes/Textbooks | “Database Systems”, T Connoly, C. Begg, Addiison Wesley publishers |
Suggested Readings/Materials | “An Introduction to Database Systems”, C J Date, Addison Wesley“Database Management Systems”, R Ramakrishnan, J Gehrke, McGrawHill“Relational Database Principles”, C Ritchie, Letts Educational“Fundamentals of SQL programming”, R MataToledo, P K Cushman, Schaum’s Outlines“Oracle Programming: A Primer”, R Sunderraman, Addison Wesley |
Semester Activities | Number | Weigthing |
Participation | 15 | 5 |
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | 1 | 25 |
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 60 | |
Weighting of End-of-Semester Activities on the Final Grade | 40 | |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 15 | 2 | 30 |
Field Work | |||
Quizzes / Studio Critiques | 1 | ||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | 1 | 43 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 5 | |
Final Exams | 1 | 10 | |
Total | 120 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | X | ||||
2 | To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | X | ||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively. | X | ||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics. | |||||
6 | To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. | |||||
8 | To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions. | |||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest