DATABASE MANAGEMENT SYSTEMS
- Course
- MISY343 - DATABASE MANAGEMENT SYSTEMS
- Department
- Master of Management Information Systems - English - Master
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Yasemin BAY
- Prerequisite
- -
- Keywords
- -
Course Description
-
DATABASE MANAGEMENT SYSTEMS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 30 |
| Final | Final | 40 |
| Project | Project | 20 |
| Quiz1 | Quiz | 5 |
| Quiz2 | Quiz | 5 |
| Total | 100 | |
Course outcomes
- 01 Analyze a problem to design a relational database.
- 02 recognize the fundamental concepts in relational theory
- 03 implement relational theory to working knowledge of Oracle DBMS Server
- 04 apply SQL for DML and DDL
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Database Management Systems |
| Week 2 | DMBS concepts (Characteristics, levels of abstraction, advantages, query types ) |
| Week 3 | Relational database ( relational model, ER diagram) |
| Week 4 | 1 Week Break due to Covid19 Pandemy |
| Week 5 | Introduction to Structured Query Language |
| Week 6 | Restricting and Sorting Data |
| Week 7 | Single Row Functions |
| Week 8 | Conversion Functions |
| Week 9 | Aggregate Functions |
| Week 10 | Nested Queries - joins |
| Week 11 | Nested queries - Subqueries |
| Week 12 | Data Definition Languages (DDL) (table operations, constraints, indexing) |
| Week 13 | Data Manipulation Language(DML) |
| Week 14 | Normalization |
| Week 15 | Revision |
Reference Books & Course Materials
- 01 Elmasri & Navthe: Fundamentals of Database Systems, Addison Wesley, fifth ed., 2007.
Learning Outcomes
- L01 To develop skills for designing and implementing a relational database
- L02 To give students an understanding of the fundamental concepts in relational theory
- L03 To give students a working knowledge of Oracle DBMS Server
- L04 To enable students in the use of SQL for DML and DDL
Program Outcomes
- Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
- Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
- Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
- Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
- Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
- Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
- dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
- Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
- Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
- Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
- Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
- Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.
Po-Lo Matrix
| LO | Average | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - | - |