ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Management Information Systems (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code: | MIS051 | ||||
| Course Name: | Personal Data Protection Law | ||||
| Semester: | Fall | ||||
| Course Credits: |
|
||||
| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
|
||||
| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
| Course Lecturer(s): | Doç. Dr. Şebnem Özdemir | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | The objective of this course is to equip students with a comprehensive understanding of the legal framework and principles regarding the protection of personal data. The course will delve into the obligations of data controllers, the rights of data subjects, the role of data protection authorities, and the international aspects of data protection laws. The course aims to provide students with the necessary knowledge to navigate and comply with data protection regulations in a professional environment. |
| Course Content: | 1. Introduction to Personal Data Protection Law 2. Principles and obligations under Personal Data Protection Law 3. Rights of data subjects under Personal Data Protection Law 4. Data protection authorities and their roles 5. International aspects of Personal Data Protection Law |
Learning Outcomes
|
The students who have succeeded in this course;
1) 1. Understand the principles of Personal Data Protection Law 2) 2. Identify obligations under Personal Data Protection Law 3) 3. Understand the rights of data subjects 4) 4. Understand the role of data protection authorities 5) 5. Understand the international aspects of Personal Data Protection Law |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | 1. Introduction to Personal Data Protection Law | |
| 2) | 2. Principles of Data Protection Law | |
| 3) | 3. Obligations under Data Protection Law | |
| 4) | 4. Rights of data subjects (Part 1) | |
| 5) | 5. Rights of data subjects (Part 2) | |
| 6) | 6. Role of data protection authorities (Part 1) | |
| 7) | 7. Role of data protection authorities (Part 2) | |
| 8) | Midterm Exam | |
| 9) | 9. International aspects of Data Protection Law (Part 1) | |
| 10) | 10. International aspects of Data Protection Law (Part 2) | |
| 11) | 11. Case Study: Data Protection Law in Europe | |
| 12) | 12. Case Study: Data Protection Law in the USA | |
| 13) | 13. Case Study: Data Protection Law in Asia | |
| 14) | 14. Understanding GDPR and its implications | |
| 15) | 15. Review | |
| 16) | Final exam |
Sources
| Course Notes / Textbooks: | 1. "Data Protection: A Practical Guide to UK and EU Law" by Peter Carey 2. "EU General Data Protection Regulation (GDPR): An Implementation and Compliance Guide" by IT Governance Privacy Team |
| References: | 1. "Understanding the GDPR: A Comprehensive Guide" by Aurelie Pols 2. "Data Protection and Privacy: The Age of Intelligent Machines" by Ronald Leenes, Rosamunde van Brakel, Serge Gutwirth, and Paul De Hert |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Program Outcomes | |||||||||||||
| 1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 3 | 2 | 3 | 1 | 3 | ||||||||
| 2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 3 | 3 | 3 | 2 | 3 | ||||||||
| 3) Uses different information technologies and systems for understanding and solving various business problems. | 2 | 2 | 3 | 2 | 2 | ||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 1 | 2 | 3 | 2 | 3 | ||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 2 | 2 | 3 | 3 | 2 | ||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | 3 | 1 | 2 | 1 | 3 | ||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 1 | 2 | 3 | 3 | 2 | ||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 2 | 1 | 3 | 2 | 2 | ||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | 3 | 2 | 1 | 3 | 2 | ||||||||
| 10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 2 | 2 | 2 | 3 | 3 | ||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 2 | 3 | 3 | 2 | 2 | ||||||||
| 12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 1 | 1 | 2 | 2 | 3 | ||||||||
| 13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 1 | 2 | 1 | 2 | 1 | ||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 3 |
| 2) | Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 3 |
| 3) | Uses different information technologies and systems for understanding and solving various business problems. | 2 |
| 4) | Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 |
| 5) | Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 2 |
| 6) | Gains technical and managerial contributions to IT projects and takes responsibility. | 1 |
| 7) | Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 2 |
| 8) | Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 3 |
| 9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | 2 |
| 10) | Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 3 |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 2 |
| 12) | Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 3 |
| 13) | It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 2 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Midterms | 1 | % 40 |
| Final | 1 | % 60 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 14 | 2 | 3 | 70 | |||
| Midterms | 1 | 20 | 2 | 22 | |||
| Final | 1 | 30 | 3 | 33 | |||
| Total Workload | 125 | ||||||