Computer Skills
A.Y. 2025/2026
Learning objectives
Undefined
Expected learning outcomes
Undefined
Lesson period: First semester
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
This academic year's course will focus on the use of artificial intelligence by (young) lawyers and the most advanced legal tech solutions.
In particular, the following topics will be covered:
- big data
- artificial intelligence
- the use of generative artificial intelligence in the legal field
- artificial intelligence and ethical rules
- artificial intelligence and legal design
- artificial intelligence and cybersecurity
- the European regulation on artificial intelligence
In particular, the following topics will be covered:
- big data
- artificial intelligence
- the use of generative artificial intelligence in the legal field
- artificial intelligence and ethical rules
- artificial intelligence and legal design
- artificial intelligence and cybersecurity
- the European regulation on artificial intelligence
Prerequisites for admission
There are no particular pre-requisites for adequately addressing the contents of the course. Certainly, a good knowledge of the most commonly used computer tools is very helpful in order to best follow the lessons, which are eminently practical.
Teaching methods
The Course consists of 7 hours of classroom lessons held by the Professor, often joined by leading scholars in the field of Legal Informatics who bring their practical (especially professional and working) experiences to the classroom.
Teaching Resources
G. Ziccardi, Intelligenza artificiale. Una guida semplice per il giurista del futuro. Lefebvre Giuffrè, 2025.
Assessment methods and Criteria
The final exam takes place orally in the exam session, with a question consisting of at least three questions on three different parts of the program.
Professor(s)
Reception:
thursday 10:30 - 11:30 (send an email to [email protected])
Dipartimento "Cesare Beccaria"