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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS KMH 6071 TECHNOLOGY AND CRIMINAL LAW ELECTIVE 3 0 0 5

Offered By

Public Law

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR PINAR BACAKSIZ

Offered to

Public Law

Course Objective

The aim of this course is to discuss the effect of new technological developments and how criminal law might change in the future.

Learning Outcomes of the Course Unit

1   To be able to use fundamental technological concepts 2   To be able to absorb the relationship between AI, robotics and ethics 3   To be able to discuss the criminal law problems that may arise in the areas where artificial intelligence is used 4   To be able to discuss the criminal procedure law problems that may arise in the areas where artificial intelligence is used 5   To be able to discuss the regulations in comparative law

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 Technological Concepts 3 International Documents 4 International Documents 5 Legal personality debates on artificial intelligence and robots 6 Robots Used in the Medine and Criminal Liability 7 Midterm 8 Autonomous Vehicles and Criminal Liability 9 Unmanned Aerial Vehicles and Criminal Law 10 Intellectual Property Law and Artificial Intelligence 11 Robots Used in Production Lines and Criminal Liability 12 Use of Artificial Intelligence in Criminal Procedure 13 Developments in Comparative Law 14 Developments in Comparative Law

Recomended or Required Reading

Main textbook: O zbek/Dog an/Bacaksız, Ceza Hukuku, Ankara 2020. Ersoy Çağlar, Robotlar, Yapay Zeka ve Hukuk, Istanbul 2019.

Planned Learning Activities and Teaching Methods

The course will be conducted with theoretical explanations and student presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.20 + STT* 0.40 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.40 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

pinarbacaksiz@gmail.com

Office Hours

Course days

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 3 39 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Preparing presentations 1 10 10 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 127

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 1 1 1 1 1 LO.2 1 1 1 1 LO.3 1 1 1 LO.4 1 1 1 1 LO.5 1 1 1 1