Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Legal Informatics (17.E2523)

Native organizations units: Sub-department for Applied Computer Science and Informatics

Type of studies	Title
Master Academic Studies	Information Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Computing and Control Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Software Engineering and Information Technologies (Year: 1, Semester: Winter)
Master Academic Studies	Information and Analytics Engineering (Year: 1, Semester: Winter)

General information:

Category	Academic-general educative
Scientific or art field	Applied Computer Science and Informatics
ECTS	6

Acquisition of knowledge and skills necessary for the application of information technology in the legal domain.

After successfully completing the course students: (1) understand basic legal informatics concepts, (2) are qualified to develop software used by lawyers and (3) are qualified to develop information systems in legislative, judicial and executive branches of the government.

(1) introduction to legal informatics and basic legal concepts, (2) legal document engineering, (3) legal knowledge engineering, (4) legal reasoning and argumentation in law, (5) retrieval and browsing of legal information, (6) legal informatics standards and open access to legal information and (7) introduction to digital forensics and e-discovery.

Teaching methods include: lectures, computer practice classes and consultations. During the lectures the content of the course is presented using the necessary didactic tools while active participation of students is encouraged. The practical aspect of the course is covered at computer practice classes through assignments which students do independently or with the help of teaching assistants. The course lecturer and teaching assistants have consultations with the students. During the consultations the students are given additional explanations of the material covered at the lecture and practice classes.

Authors	Title	Year	Publisher	Language
Núria Casellas et al.	Legal Ontology Engineering: Methodologies, Modelling Trends, and the Ontology of Professional Judicial Knowledge	2011	Springer, London	English
Giovanni Sartor et al.	Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management	2011	Springer, London	English
Kevin D. Ashley	Artificial Intelligence and Legal Analytics	2017	Kevin D. Ashley (2017) "Artificial Intelligence and Legal Analytics", Cambridge:	English