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Professor
MASSIMO FARINA (Tit.)
Period
Second Semester 
Teaching style
Convenzionale 
Lingua Insegnamento
INGLESE 



Informazioni aggiuntive

Course Curriculum CFU Length(h)
[70/90]  COMPUTER ENGINEERING, CYBERSECURITY AND ARTIFICIAL INTELLIGENCE [90/00 - Ord. 2018]  PERCORSO COMUNE 5 50

Objectives

According to the scope of the Master Course in Computer Engineering, Cybersecurity and Artificial Intelligence, the aim of the course “digital forensics” is that of equipping the student with the necessary knowledge to start a career in digital forensics

* Knowledge and Understanding:
- the student will become aware of the existence of legal issues connected with information and communication technologies;
- the student becomes aware of the existence of the tial problems (civil and criminal) related to the new technologies.

* Applying knowledge and Understanding: the the - student will be able to develop and use such technologies in a law-abiding manner;
- student will be able to understand legal aspects for the search, acquisition, storage, analysis and evaluation of digital evidence.

* Making judgements:
the student will develop the ability to legally evaluate computer evidence.

* Communication skills:
the student will be able to interact with lawyers and legal experts in a qualified way.

* learning skills:
the student will be able to find from qualified sources and to interpret independently the current legislation applicable to its field of interest.

Prerequisites

There are no necessary prerequisites in terms of specialist knowledge.

Contents

The course will be structured in three parts.
The first part is dedicated to the basic notions of computer law, with particular focus on computer crimes.
The second part is dedicated to the procedural aspects of the research, acquisition, conservation, analysis and evaluation of the digital evidences.
The third part is dedicated privacy and personal data protection.

Teaching Methods

Lectures; the course aims to promote a joint work with students. The method of teaching followed alongside the ' theoretical with practical cases and judgments, to enable students to develop a capacity for immediate application of digital forensics to concrete situations.

Attendance Rule: the attendance is not mandatory but highly recommended for achieving the goals and objectives of the course. During the lessons you quickly learn the terminology and the basic principles: fundamental elements for the autonomous and critical study of the subject.

Teaching will be delivered in person. The lessons can be integrated with audiovisual materials and streaming.

Verification of learning

The final exam is oral and includes a question for each of the 3 parts of program. For each question a score of 0 to 10 will be awarded. The scores obtained on each question will be added to determine the final evaluation

Texts

The teacher will recommend the texts to be consulted during the lessons. The students should download all the material, including slides, that the teacher provides during the lectures (see the website https://elearning.unica.it/) and in any case please contact the teachers for any problem that you may have.

More Information

Self-assessment tests: the learning will be tested constantly through discussion and debate. During the lessons the teacher gives to the students self-assessment tests to help in perfecting the method of preparation of the exam. The tests will be carried out individually or in small groups, with the support of texts and notes and the answers will be analyzed together with the class. Such tests do not provide for evaluation.

Questionnaire and social

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