Insegnamento a.a. 2022-2023

30519 - EUROPEAN AND INTERNATIONAL INFORMATION LAW AND DATA ECONOMY

Department of Law

Course taught in English
Go to class group/s: 25
BEMACS (7 credits - I sem. - OB  |  IUS/05)
Course Director:
MARIA LILLA' MONTAGNANI

Classes: 25 (I sem.)
Instructors:
Class 25: MARIA LILLA' MONTAGNANI


Mission & Content Summary

MISSION

The course addresses the most important fields of law for the data economy from a European and International perspective. It surveys intellectual property (IP), data ownership and licensing standards, competition law, and privacy with a particular focus on data, algorithms, software, and artificial intelligence. The interplay of these diverse fields of law – often referred to as “information law” – is crucial for any technology company nowadays.

CONTENT SUMMARY

The course will first provide an overview of intellectual property categories and then cover the various legal challenges arising from the management of data. In particular, the main topics that will be covered in the course are:

  • Copyright Law
  • Patent Law
  • Trade Secret Law
  • Database Law
  • Software Protection
  • Software Licensing
  • AI and Creativity
  • AI and Inventiveness
  • Data Economy
  • Data Ownership
  • Data Licensing
  • Open Data
  • Data concentration & Algorithmic collusion
  • Data protection

Intended Learning Outcomes (ILO)

KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • Distinguish and describe the features of major types of IPRs, especially copyright, patents, and trade secrets.
  • Identify the main legal challenges arising from digital technologies in IP, data, and information law and illustrate the ways to tackle those legal challenges.
  • Spot and explain IP, data, and information law issues in the business model of technology companies.

 

APPLYING KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • apply the legal framework of IP, data, and information law to practical cases, especially concerning data, algorithms, software, and artificial intelligence.

Teaching methods

  • Face-to-face lectures
  • Guest speaker's talks (in class or in distance)
  • Group assignments

DETAILS

1. Face-to-face lectures: Lectures are guided mainly by instructors. Students are strongly encouraged to participate and, when provided, to read assigned materials before class. 

 

2. Guest speaker's talks: Guests from legal and business roles in technology companies will discuss their experience addressing the legal issues concerning IP and data, and share career insights.

 

3. Group assignments: Groups of students will research and present to the class a short case study on a technology company, following the lecturers' instructions.


Assessment methods

  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
    x
  • Group assignment (report, exercise, presentation, project work etc.)
    x

ATTENDING STUDENTS

To be considered attending, students should attend at least 75% of the lectures and participate in the group assignment. Their exam will be:

  • Written exam: one (1) open question + multiple-choice questions (70%). The open question assesses the student's preparation in issue-spotting and analyzing legal topics. The multiple-choice questions verify that the student has acquired a detailed and horizontal knowledge of the subject.  
  • Group work (30%). The group work evaluates the students' ability to work in groups and address a small research assignment and presentation as a team.
     

Regular class attendance and positive, proactive participation in class discussions, with questions and comments that help other students learn, can be considered in determining the final grade (up to 2 points).


NOT ATTENDING STUDENTS

Students that do not attend 75% of the classes are considered non-attending students. Their exam will be:

  • Written exam: two open questions + multiple choice questions (100%). The open question assesses the student's preparation in issue-spotting and analyzing legal topics. The multiple-choice questions verify that the student has acquired a detailed and horizontal knowledge of the subject.  

Teaching materials


ATTENDING AND NOT ATTENDING STUDENTS

Slides used in class, coupled with specific material for each topic covered (case-law, academic papers, news articles), uploaded on the Bboard platform.

Last change 19/09/2022 11:59