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Regular version of the site
Bachelor 2026/2027

Introduction to law

Type: Compulsory course (Data Science and Business Analytics)
When: 3 year, 3 module
Open to: students of one campus
Language: English
ECTS credits: 3
Contact hours: 40

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

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

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

Course Contents

  • The Essence of Law
  • Lawmaking and Law Enforcement
  • Law and the Internet
  • Personal Data
  • Introduction to Intellectual Property Law
  • Copyright
  • Law and Artificial Intelligence
  • Ethics in the IT Context
Assessment Elements

Assessment Elements

  • non-blocking Seminars activity
  • non-blocking Final test
  • non-blocking Project
Interim Assessment

Interim Assessment

  • 2026/2027 3rd module
    0.4 * Final test + 0.3 * Project + 0.3 * Seminars activity
Bibliography

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.

Authors

  • BOZHENOVA VALERIYA ALEKSANOVNA
  • ZHURAVLEV MIKHAIL SERGEEVICH