ECTS - Introduction to Law of Artificial Intelligence
Introduction to Law of Artificial Intelligence (LAW319) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction to Law of Artificial Intelligence | LAW319 | Area Elective | 2 | 0 | 0 | 2 | 3 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | |
| Learning and Teaching Strategies | . |
| Course Lecturer(s) |
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| Course Objectives | |
| Course Learning Outcomes |
The students who succeeded in this course; |
| Course Content | In this course; the emergence and definition of artificial intelligence in terms of its conceptual framework, machine learning and deep learning, and types of artificial intelligence are examined, explaining the relationship between artificial intelligence and similar concepts. The soft and hard legal rules related to artificial intelligence are presented in the context of comparative law, and the personality, as well as the legal and criminal responsibility of artificial intelligence, are discu |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|
Sources
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | - | - |
| Final Exam/Final Jury | - | - |
| Toplam | 0 | 0 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Skills to understand, compare and paraphrase the basic concepts of law as a jurist following common principles of law. | |||||
| 2 | Skills to solve problems using a critical point of view when necessary , to determine and analyse the theoretical and implementation problems of law. | |||||
| 3 | Contribution to understanding, planning, exercising and coordinating the functionss of law, by explaining and practising. | |||||
| 4 | Skills to understand the strategic, tactical and practical sides of private and public law. | |||||
| 5 | Skills to understand the local, national, international, universal and supranational sides of private and public law. | |||||
| 6 | Skills to understand the modern methods and differences of law. | |||||
| 7 | Skills to participate in/inter disciplinary group works succesfully. | |||||
| 8 | Skills to adopt open minded behaviors in the way of learning and attempting. | |||||
| 9 | Skills to assimilate and carry the rules of ethics and profession within the framework of social responsibility | |||||
| 10 | Skills to use Turkish efficiently in writing and speaking, and have the communication talent that is required by a law related career. | |||||
| 11 | Skills to approach critically and creativly on the legal and social problems in terms of rule of law and ideal of justice. | |||||
| 12 | Skills to understand and practice the national and international sides of law through caselaw and judical implementations. | |||||
| 13 | Skills to prepare/present a written or oral academic study within the framework of acedemic ethic and rules. | |||||
| 14 | Skills to use vocational information technologies efficiently in solving legal problems. | |||||
| 15 | Skills to reinforce knowledge of foreign languages and command of legal terminolgy. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | |||
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | |||
| Total Workload | 0 | ||