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Language of Instruction
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Turkish
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Level of Course Unit
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Master's Degree
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Department / Program
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LLM Program in Private Law (Thesis) (Turkish)
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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The aim of this course is to comprehend the basic principles and principles of personal data protection law and their reflections in the field of labor law and legal principles regarding the protection of personal data of the employee.
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Course Content
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This course includes the definition of general personal data and special categories of personal data, the conditions of processing these data in the processes related to the employment relationship, the principles to be followed during the processing, the legislation to be applied, the compliance of the legislation with international regulations, the obligations of the employer arising from the title of data controller and the rights of the employee, the consequences of unlawful data processing and current developments and national and international judicial decisions.
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Course Methods and Techniques
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Theoretical lecture, case study, class discussion, evaluation
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Prof.Dr. Yeliz Bozkurt Gümrükçüoğu
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Assistants
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Research Assist. Abdülmecit Güldağı
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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3. Sevimli, K. A. (2006). İşçinin Özel Yaşamına Müdahalenin Sınırları. İstanbul: Legal Yayıncılık. 4. Beytar, E. (2017). İşçinin Kişiliğinin ve Kişisel Verilerinin Korunması. İstanbul: On İki Levha Yayıncılık. 5. Gürsel, İ. (2016). İşçinin Kişisel Verilerinin Korunması Hakkı. Ankara: Adalet Yayınevi. 1. Bozkurt Gümrükçüoğlu, Y (2017). İş İlişkisinde Kişisel Verilerin Korunmasına İlişkin Sorunlar ve Kişisel Verilerin Korunması Hakkında Kanun, İş Hukukunda Yeni Yaklaşımlar Sempozyumu, Ed. Kübra Doğan Yenisey, Seda Ergüneş Emrağ. İstanbul: Beta Yayınları. 2. Küzeci, E. (2018). Kişisel Verilerin Korunması. Ankara: Turhan Kitabevi.
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Course Notes
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Lecture notes are shared with students through the Canvas system.
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Documents
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-
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Assignments
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-
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Exams
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-
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Course Category
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Mathematics and Basic Sciences
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Engineering Design
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Social Sciences
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Education
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Science
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Health
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