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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Private Law
  3. Master of Arts (MA) in Private Law
  4. Course Structure Diagram with Credits
  5. Law and Artificial Intelligence
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
HUK762 - Law and Artificial Intelligence II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. MESUT AYGÜN
Mode of Delivery The mode of delivery of this course is face to face.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no course recommended about this course.
Recommended Resources Büyüközkan Feyzioğlu, Gülçin (2021), Dijitalleşen Dünyada Yapay Zekâ, Editörler: Eylem Aksoy Retornaz/Osman Gazi Güçlütürk, Gelişen Teknolojiler ve Hukuk II: Yapay Zekâ, İstanbul: On İki Levha Yayıncılık.
Work Placement Not Applicable
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 History and Definition of Artificial Intelligence
Week - 2 Features and Types of Artificial Intelligence
Week - 3 Artificial Intelligence Techniques
Week - 4 Artificial Intelligence Techniques
Week - 5 Data, Big Data and Algorithm
Week - 6 Legal Status of Artificial Intelligence
Week - 7 Basic Principles to be Considered in Artificial Intelligence Applications to be Used in Trial Law
Week - 8 Determination of course-related assignment topics
Week - 9 Preparation of the assignments
Week - 10 Preparation of the assignments
Week - 11 Preparation of the assignments
Week - 12 Student presentation of the assignments
Week - 13 Student presentation of the assignments
Week - 14 Student presentation of the assignments

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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