Faculty of Technical Sciences

Subject: Legal Informatics (17.E2523)

Native organizations units: Sub-department for Applied Computer Science and Informatics
General information:
 
Category Academic-general educative
Scientific or art field Applied Computer Science and Informatics
Interdisciplinary No
ECTS 6
Educational goal:

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

Educational outcome:

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.

Course content:

(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:

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.

Literature:
Authors Title Year Publisher Language
Душан Николић Право информација 1990 Народна техника Војводине Serbian language
Giovanni Sartor et al. Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management 2011 Springer, London English
Стеван Лилић Правна информатика 2006 Завод за уџбенике Serbian language
Kevin D. Ashley Artificial Intelligence and Legal Analytics 2017 Kevin D. Ashley (2017) "Artificial Intelligence and Legal Analytics", Cambridge: English
Núria Casellas et al. Legal Ontology Engineering: Methodologies, Modelling Trends, and the Ontology of Professional Judicial Knowledge 2011 Springer, London English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Project defence Yes Yes 50.00
Lecturers:

Asistent Popović Miloš

Assistant - Master

Computational classes
API Image

prof. dr Gostojić Stevan

Full Professor

Lectures

Faculty of Technical Sciences

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Contact:

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Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.