IDENTIFYING DATA 2021_22
Subject (*) COMPUTER FORENSICS Code 17685102
Study programme
Computer Security Engineering and Artificial Intelligence (2016)
Cycle 2nd
Descriptors Credits Type Year Period
4.5 Compulsory First 1Q
Language
Anglès
Department Computer Engineering and Mathematics
Coordinator
SERRATOSA CASANELLES, FRANCESC D'ASSÍS
E-mail francesc.serratosa@urv.cat
Lecturers
SERRATOSA CASANELLES, FRANCESC D'ASSÍS
Web
General description and relevant information This course presents a new perspective of information security based on the analysis of computer systems and malicious code . Computer forensics aims to collect evidence to help us understand ( and document if necessary) an attack on a computer system.

Competences
Type A Code Competences Specific
 A1 Integrate the fundamental technology, applications, services and systems of Computer Security and Artificial Intelligence,in a broader, multidisciplinary context.
 A4 Design, develop, manage and evaluate mechanisms to certify and guarantee security in handling information and access to it in a local or distributed processing system.
 G1 Project, calculate and design products, processes and installations in the areas of Computer Security and Artificial Intelligence
 G2 Perform mathematical modelling, calculation and simulation in company technology and engineering centres, particularly in tasks of research, development and innovation in the areas of Computer Security and Artificial Intelligence
Type B Code Competences Transversal
 CT2 Forming opinions on the basis of the efficient management and use of information
 CT3 Solve complex problems critically, creatively and innovatively in multidisciplinary contexts.
 CT4 Work in multidisciplinary teams and in complex contexts.
 CT5 Communicate complex ideas effectively to all sorts of audiences
 CT7 Apply ethical principles and social responsibility as a citizen and a professional.
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1 Analyse the problems and their causes from a global focus in the medium and long term.
 A4 Analyse the security of computer systems and the origin and impact of attacks and intrusions to these systems.
 G1 Integrate theoretical knowledge into the realities to which it may apply.
 G2 Apply the techniques learned in a specific context.
Type B Code Learning outcomes
 CT2 Master the tools for managing their own identity and activities in a digital environment.
Search for and find information autonomously using criteria of importance, reliability and relevance, which is useful for creating knowledge
Organise information with appropriate tools (online and face-to-face) so that it can be updated, retrieved and processed for re-use in future projects.
Produce information with tools and formats appropriate to the communicative situation and with complete honesty.
Use IT to share and exchange the results of academic and scientific projects in interdisciplinary contexts that seek knowledge transfer.
 CT3 Recognise the situation as a problem in a multidisciplinary, research or professional environment, and take an active part in finding a solution.
Follow a systematic method with an overall approach to divide a complex problem into parts and identify the causes by applying scientific and professional knowledge.
Design a new solution by using all the resources necessary and available to cope with the problem.
Draw up a realistic model that specifies all the aspects of the solution proposed.
Assess the model proposed by contrasting it with the real context of application, find shortcomings and suggest improvements.
 CT4 Understand the team’s objective and identify their role in complex contexts.
Communicate and work with other teams to achieve joint objectives.
Commit and encourage the necessary changes and improvements so that the team can achieve its objectives.
Trust in their own abilities, respect differences and use them to the team’s advantage.
 CT5 Produce quality texts that have no grammatical or spelling errors, are properly structured and make appropriate and consistent use of formal and bibliographic conventions
Draw up texts that are structured, clear, cohesive, rich and of the appropriate length, and which can transmit complex ideas.
Draw up texts that are appropriate to the communicative situation, consistent and persuasive.
Use the techniques of non-verbal communication and the expressive resources of the voice to make a good oral presentation.
Construct a discourse that is structured, clear, cohesive, rich and of the appropriate length, and which can transmit complex ideas.
Produce a persuasive, consistent and precise discourse that can explain complex ideas and effectively interact with the audience.
 CT7 Be aware of gender and other inequalities in their activity as a URV student.
Analyse the major environmental problems from the perspective of their field of expertise in their student and/or professional activity.
Be able to give arguments based on social values and make proposals for the improvement of the community.
Be personally and professionally committed to applying the ethical and deontological concepts of their field of expertise.
Type C Code Learning outcomes

Contents
Topic Sub-topic
1. Digital image forensics
2. Camera source identification
3. Concealing messages into file media: Steganography
4. Computer generated images
5. Computer forensics
6. Network forensics

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
1 1.5 2.5
Presentations / oral communications
CT2
CT5
CT7
1 1.5 2.5
Assignments
A1
A4
G1
G2
CT3
CT4
CT5
13 19.5 32.5
Reading written documents and graphs
A1
A4
G1
G2
25 37.5 62.5
Forums of debate
CT2
CT7
1 1.5 2.5
Personal attention
2 0 2
 
Multiple-choice objective tests
CT2
CT7
2 6 8
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Presentació de les eines i conceptes bàsics a utilitzar en l'assignatura
Presentations / oral communications Presentació de les pràctiques realitzades
Assignments Realització d'exercicis que treballen els continguts que es van presentant al llarg del curs
Reading written documents and graphs Els estudiants han de preparar els temes del curs.
Forums of debate Compartir preguntes amb el professor i els companys en el Fòrum. Qualsevol, mestre o companys, pot respondre a les preguntes.

La col·laboració entre ells és part del procés d'aprenentatge.
Personal attention L'alumne es pot posar en contacte amb el professor en horaris de consulta o via correu electrònic

Personalized attention
Description
L'alumne es pot posar en contacte amb el professor en les hores de consulta o bé a partir de correu electrònic

Assessment
Methodologies Competences Description Weight        
Presentations / oral communications
CT2
CT5
CT7
Presentació de les pràctiques del curs 10
Assignments
A1
A4
G1
G2
CT3
CT4
CT5
Exercicis que es van desenvolupant al llarg del curs a les sessions de laboratori 70
Multiple-choice objective tests
CT2
CT7
Prova escrita sobre els conceptes treballats al llarg del l'assignatura 20
Others  
 
Other comments and second exam session

Sources of information

Basic Warren G. Kruse II, Jay G. Heiser , Computer Forensics: Incident Response Essentials, Addison Wesley , 2001
Bill Nelson, Amelia Phillips, Christopher Steuart , Guide to Computer Forensics and Investigations , Cengage Learning, 4t Edition , 2009

Complementary

Recommendations


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.