Bachelor
2023/2024
Law
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Valeria Bozhenova
Language:
English
ECTS credits:
3
Contact hours:
28
Course Syllabus
Abstract
This course introduces students to the basics of law theory, which enables comprehensive understanding of the role of law as a social regulator in the era of digital transformation. It also explores the relationship between law and technology with a strong focus on the law of the Russian Federation, European Union and the United States.
Learning Objectives
- Students will learn fundamentals of the theory of law, general legal challenges of IT sphere, privacy as legal concept, main legal acts regulating data protection, IP issues in the digital era, legal status of AI
Expected Learning Outcomes
- Students know basic principles of law theory, tendencies of law development in the digital era, tendencies of IP law regulation
- Students know basic principles of law theory, tendencies of law development in the digital era, tendencies of IP law regulation
Course Contents
- The Essence of Law
- Lawmaking and Law Enforcement
- Law and the Internet
- Basics of Information Law
- Personal Data
- Introduction to Intellectual Property Law
- Copyright
- Law and Artificial Intelligence
Assessment Elements
- Final Exam (Test)
- Grade for accomplishment of online-course “Intellectual Property Law and Policy: Part 1”
- Activity at seminars (oral answers, reports)
- Grade for accomplishment of online-course “Intellectual Property Law and Policy: Part 2”
- Group project
Interim Assessment
- 2023/2024 2nd module0.25 * Activity at seminars (oral answers, reports) + 0.5 * Final Exam (Test) + 0 * Grade for accomplishment of online-course “Intellectual Property Law and Policy: Part 1” + 0 * Grade for accomplishment of online-course “Intellectual Property Law and Policy: Part 2” + 0.25 * Group project
Bibliography
Recommended Core Bibliography
- Wachter, S., Mittelstadt, B., & Russell, C. (2020). Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI. https://doi.org/10.2139/ssrn.3547922
Recommended Additional Bibliography
- Eliot, L. (2020). Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning.