HUK 432 Information Technology LawMEF UniversityDegree Programs LawGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Law
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Law
Course Code HUK 432
Course Title in English Information Technology Law
Course Title in Turkish Bilişim Hukuku 
Language of Instruction TR
Type of Course Lecture
Level of Course Intermediate
Semester Fall
Contact Hours per Week
Lecture: 2 Recitation: Lab: Other:
Estimated Student Workload 56 hours per semester
Number of Credits 2 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To have technical and legal knowledge of the leading applications of information technology law, to be able to produce effective solutions to new problems that may arise.
Course Description In this course, artificial intelligence and robots, blockchain practices and data protection law’s basic topics shall be elaborately treated. In that regard, the following subjects will be examined in detail: Legal status of and legal liability problems (with answers) with regard to artificial intelligence and robots; legal evaluation of smart contracts and crypto-currencies on the blockchain; data protection law with its basic principles, concepts and practices.
Course Description in Turkish Bu derste bilişim alanındaki yapay zeka ve robotlar, blockchain uygulamaları ve kişisel verilerin korunması hukukunun temel kavramları incelenecektir. İlgili bağlamda, yapay zeka ve robotların hukuki statüsü, sorumluluk problemleri ve çözüm önerileri; blockchain uygulamalarına hukuki bakış, akıllı sözleşmelerin ve kripto para değerlerinin hukuki mahiyeti ve bunlardan doğabilecek problemlerin çözümü ve kişisel verilerin korunması hukukunun temel prensip, kavram ve uygulamaları detaylarıyla ele alınacaktır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Traces and understands the basic concepts of Information Technology Law (especially artificial intelligence and robots, blockchain applications and personal data protection) and their interaction with each other.
2) Acquires the ability to audit the legal context of Information Technology Law applications (especially artificial intelligence and robotics, blockchain applications and personal data protection)
3) Gains knowledge of the private law liability that may arise in the field of informatics.
4) Analyses the private law problems that may arise in the field of informatics and be able to propose solutions.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
1) The ability to recognize and apply basic principles and theories of law, legal methodology, and interpretation methods.
2) The ability to follow, evaluate, interpret and apply the current developments and legislative amendments.
3) The ability to locate and use legal resources; to follow and evaluate current legislative amendments, legal science, and court decisions.
4) The ability to internalize social, scientific and ethical values while evaluating legal information.
5) The ability to recognize, examine and resolve legal issues with respect to general principles of law, de lege feranda and de lege lata; to take into consideration both national and international aspects of law; and to acknowledge the importance of personal conviction while making decisions.
6) The ability to critically analyze legal disputes, legislation, court decisions and different views in the legal science; to form his/her own opinions; to detect legal lacuna and suggest alternative solutions.
7) The ability to understand issues regarding different fields of law; to characterize and propose solutions to complex issues arising from legal practice.
8) The ability to participate in and organize legal projects and activities as a socially responsible individual; to put his/her legal knowledge and skill to use efficiently (in the public or private sector).
9) The ability to use a foreign language at least on a B2 Level on the European Language Portfolio, to follow legal developments and communicate with colleagues in that language; to use computer software and information and communication technologies necessary in the law field at an Advanced Level of the European Computer Driving License.
10) Adoption of a positive approach to the concept of lifelong learning.
11) The ability to understand the development, evolution, and problems of the society and to contribute to the solution of these problems by legal methods.
12) The ability to understand the structure, organization, and functioning of law on the national and international level; to contribute to the development thereof.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) The ability to recognize and apply basic principles and theories of law, legal methodology, and interpretation methods. N
2) The ability to follow, evaluate, interpret and apply the current developments and legislative amendments. H Exam
3) The ability to locate and use legal resources; to follow and evaluate current legislative amendments, legal science, and court decisions. N
4) The ability to internalize social, scientific and ethical values while evaluating legal information. N
5) The ability to recognize, examine and resolve legal issues with respect to general principles of law, de lege feranda and de lege lata; to take into consideration both national and international aspects of law; and to acknowledge the importance of personal conviction while making decisions. S Exam
6) The ability to critically analyze legal disputes, legislation, court decisions and different views in the legal science; to form his/her own opinions; to detect legal lacuna and suggest alternative solutions. H Exam
7) The ability to understand issues regarding different fields of law; to characterize and propose solutions to complex issues arising from legal practice. H Exam
8) The ability to participate in and organize legal projects and activities as a socially responsible individual; to put his/her legal knowledge and skill to use efficiently (in the public or private sector). N
9) The ability to use a foreign language at least on a B2 Level on the European Language Portfolio, to follow legal developments and communicate with colleagues in that language; to use computer software and information and communication technologies necessary in the law field at an Advanced Level of the European Computer Driving License. N
10) Adoption of a positive approach to the concept of lifelong learning. N
11) The ability to understand the development, evolution, and problems of the society and to contribute to the solution of these problems by legal methods. S Exam
12) The ability to understand the structure, organization, and functioning of law on the national and international level; to contribute to the development thereof. N
Prepared by and Date KADİR BERK KAPANCI , January 2024
Course Coordinator KADİR BERK KAPANCI
Semester Fall
Name of Instructor Prof. Dr. KADİR BERK KAPANCI

Course Contents

Week Subject
1) General presentation of the syllabus and the topics to be covered: Personal Data Protection / Artificial Intelligence / Blockchain
2) Personal data protection: Basic concepts
3) Protection of personal data: Rights and obligations
4) Protection of personal data: Right to be forgotten
5) What is artificial intelligence? A look at artificial intelligence and robots with concrete examples from literature and cinema: Discussion and evaluation of Asimov's two stories (Robbie - The Hunt) and HAL 9000, the artificial intelligence in Kubrick's 2001: Space Odyssey.
6) De lege lata and de lege ferenda assessments of the legal status of artificial intelligence and robots, artificial intelligence and the legal profession
7) Private law liability for the actions of artificial intelligence and robots: Who? On what legal basis?
8) Artificial Intelligence and protection of personal data
9) Blockchain: General information on how the system works and areas of use, and assessments of smart contract applications.
10) Blockchain and privacy law: Roles of actors in the system; to what extent can the system comply with legal requirements?
11) What is Blockchain? Crypto "currencies" on the blockchain system: Legal qualifications, protection and assessments regarding the legal transactions that can be conducted with them
12) General overview
13) General overview
Required/Recommended Readings- Armağan Ebru Bozkurt Yüksel, “Robot Hukuku”, TAAD, 7-29, 2017, s. 85-112. - Armağan Ebru Bozkurt Yüksel / Başak Bak / Sera Reyhani Yüksel / Kemale Aslanova, Futurist Hukuk, Aristo, 2018. - Çağlar Ersoy, Robotlar, Yapay Zeka ve Hukuk, Oniki Levha, (son baskı). - Elif Küzeci, Kişisel Verilerin Korunması, Turhan (son baskı). - Eylem Aksoy / Osman Gazi Güçlütürk (Eds.), Gelişen Teknolojiler ve Hukuk I: Blokzincir, Oniki Levha, İstanbul (son baskı). - Meliha Akbilek, Teknolojinin Pandora Kutusu: Robotların Hukuki Kişilikleri(!) ve Hukuki Sorumlulukları, Beykent HFD, 3-6, 2017, s. 216-236. - Mesut Çekin, “Borçlar Hukuku ile Veri Koruma Hukuku Açısından Blockchain Teknolojisi ve Akıllı Sözleşmeler: Hukuk Düzenimizde Bir Paradigma Değişimine Gerek Var Mı?”, İÜHFM, 77/1, s. 315-341. - Mesut Çekin, Avrupa Birliği Hukukuyla Mukayeseli Olarak 6698 Sayılı Kanun Çerçevesinde, Kişisel Verilerin Korunması Hukuku, Oniki Levha (son baskı), - Murat Develioğlu, 6698 sayılı Kişisel Verilerin Korunması Kanunu ile Karşılaştırmalı Olarak Avrupa Birliği Genel Veri Koruma Tüzüğü Uyarınca Kişisel Verilerin Korunması Hukuku, Oniki Levha, 2018. - Nafiye Yücedağ: "Kişisel verilerin korunması kanunu kapsamında genel ilkeler", KVK Dergisi, C. 1, S. 1, s. 47 vd. - Nafiye Yücedağ: "Medeni Hukuk Açısından Kişisel Verilerin Korunması Kanunu'nun Uygulama Alanı ve Genel Hukuka Uygunluk Sebepleri", İÜHFM, C. LXXV, S.2, s. 765 vd.
Teaching MethodsClassic lecture / flipped classroom applications
Homework and Projects
Laboratory Work
Computer Use
Other Activities
Assessment Methods
Assessment Tools Count Weight
Midterm(s) 1 % 40
Final Examination 1 % 60
TOTAL % 100
Course Administration kapancib@mef.edu.tr

Office: MEF University Office (5th Floor) Office Hours: By appointment

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 2 42
Midterm(s) 1 4 2 6
Final Examination 1 6 2 8
Total Workload 56
Total Workload/25 2.2
ECTS 2