COURSE DESCRIPTION AND APPLICATION INFORMATION
| Course Name | Code | Semester | T+A+L (hour/week) | Type (C / O) | Local Credit | ECTS |
|---|---|---|---|---|---|---|
| The Protection of Personal Data in the Digital Era | KHAS 1738 | Spring | 03+00+00 | Elective | 3 | 5 |
| Academic Unit: | Department of Core Academics – Core Program |
| Mode of Delivery: | Face to face |
| Prerequisites: | None |
| Language of Instruction: | English |
| Level of Course Unit: | Undergraduate |
| Course Coordinator: | - - |
| Course Objectives: | This course aims to crystalize the essential rules and precautions on the collection, processing, retention and transfer of personal data in international and national law. The main goal is the increase of the students’ level of consciousness and control over their own data in the digital environment. By virtue of the technologic developments, it is vital that the students can have knowledge about basic solutions to common problems related with personal data in accordance with recent legal developments in the EU and Turkish law. During the course, it will be also argued the up-to-date answers of EU and Turkish law to the questions such as, what will be happened to our data that we were forced to give during the online purchase of an asset or mobile application, or what is going to occur concerning the social media account after the owner’s death. |
| Course Contents: | The course will have various topics on the issue of the protection of personal data. The regulations and cases on current issues will be established in a systematic and basic conceptual framework. The course content will consist of the following topics: - The definition and sphere of personal data - The notion of Cookies and targeted data mining for advertising - The consent to the processing of personal data - The processing of personal data in several sectors (ex. Telecommunications, legal services, banking etc.) - The rights of the owner against the illegal process of data - The right to be forgotten - The postmortem protection of personal data and digital inheritance - The economic value of personal data - The notion of deep fakes and its pros & cons |
| Learning Outcomes of the Course Unit (LO): |
|
| Planned Learning Activities and Teaching Methods: | Lectures and Discussions with professionals from different sectors - 60 & 90 min. Lecture per week - 60 min. Discussion with external participants - 60 min. Reading and Writing sessions per week - Synchronous reading and writing tasks completed both individually and in groups - Writing papers concerning the presentations during lectures |
WEEKLY SUBJECTS AND RELATED PREPARATIONS
| Week | Subjects | Related Preperation |
|---|---|---|
| 1 | Orientation, syllabus overview and introduction | |
| 2 | The definition and sphere of personal data | Reading the lecture material and preparing for the subject |
| 3 | The notion of Cookies and targeted data mining for advertising | Reading the lecture material and preparing for the subject |
| 4 | The consent to the processing of personal data | Reading the lecture material and preparing for the subject |
| 5 | The processing of personal data in Telecommunications | Reading the lecture material and preparing for the subject |
| 6 | The processing of personal data in legal services | Reading the lecture material and preparing for the subject |
| 7 | The processing of personal data in banking | Reading the lecture material and preparing for the subject |
| 8 | The rights of the owner against the illegal process of data | Reading the lecture material and preparing for the subject |
| 9 | The right to be forgotten | Reading the lecture material and preparing for the subject |
| 10 | The postmortem protection of personal data and digital inheritance | Reading the lecture material and preparing for the subject |
| 11 | The economic value of personal data | Reading the lecture material and preparing for the subject |
| 12 | The notion of deepfakes and its pros & cons- I | Reading the lecture material and preparing for the subject |
| 13 | The notion of deepfakes and its pros & cons- II | Reading the lecture material and preparing for the subject |
| 14 | Overview |
At Kadir Has University, a Semester is 14 weeks; The weeks 15 and 16 are reserved for final exams.
REQUIRED AND RECOMMENDED READING
| Nadezhda Purtova (2018) The law of everything. Broad concept of personal data and future of EU data protection law, Law, Innovation and Technology, 10:1, 40-81, DOI: 10.1080/17579961.2018.1452176 Amir M. Hormozi (2005). Cookies and privacy. Information Security Journal, 13(6), 51. Raymond Collier (2016). Cookies, Data Collection and Sharing in Social Media: How Legal is it? SAIS 2016 Proceedings. 20 Cook, J. S., & Cook, L. L. (2003). Social, ethical and legal issues of data mining. In Data mining: Opportunities and challenges (p. 395-420). IGI Global. Schermer, B. W., Custers, B., & Van der Hof, S. (2014). The crisis of consent: How stronger legal protection may lead to weaker consent in data protection. Ethics and Information Technology, 16(2), 171-182. Bunn, A. (2015). The curious case of the right to be forgotten. Computer Law & Security Review, 31(3), 336-350. Cesare Bartolini, Lawrence Siry (2016). The right to be forgotten in the light of the consent of the data subject Computer Law & Security Review 32 218–223. Edwards, L., & Harbina, E. (2013). Protecting post-mortem privacy: Reconsidering the privacy interests of the deceased in a digital world. Cardozo Arts & Ent. LJ, 32, 83-130. Gianclaudio Malgieri, Bart Custers, Pricing privacy – the right to know the value of your personal data, Computer Law & Security Review, Vol. 34, I. 2, 2018, p. 289-303. Gerstner, E. (2020). Face/off:" DeepFake" face swaps and privacy laws. Def. Counsel J., 87, 1-15. |
OTHER COURSE RESOURCES
| Elif Küzeci (2020) Kişisel Verilerin Korunması, On İki Levha Yayınları 4. Baskı Regulation, G. D. P. (2018). General data protection regulation (GDPR). Intersoft Consulting, Accessed in October, 24(1). Can Yavuz (2022) Deepfake (Derin Sahte) Yapay Zeka Tarafından Üretilen Yeni Nesil Görsel-İşitsel İçerik, Seçkin Yayınları |
ASSESSMENT METHODS AND CRITERIA
| Semester Requirements | Number | Percentage of Grade (%) |
|---|---|---|
| Attendance / Participation | 1 | 20 |
| Homework Assignments | 2 | 20 |
| Midterms / Oral Exams / Quizes | 1 | 20 |
| Final Exam | 1 | 40 |
| Total: | 5 | 100 |
WORKLOAD
| Events | Count | Duration (Hours) | Total Workload (hour) |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Practice / Exercise | 12 | 1 | 12 |
| Extra-Class Activities (reading,individiual work, etc.) | 12 | 3 | 36 |
| Midterms / Oral Exams / Quizes | 1 | 15 | 15 |
| Final Exam | 2 | 10 | 20 |
| Total Workload (hour): | 125 | ||
1 ECTS = 25 Hours Workload
THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)
| # | PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 |
| LO1 | ||||||||||||
| LO2 | ||||||||||||
| LO3 | ||||||||||||
| LO4 | ||||||||||||
| LO5 |
Contribution: 1 Low, 2 Average, 3 High