Degree | Type | Year |
---|---|---|
Management of Smart and Sustainable Cities | OB | 3 |
You can view this information at the end of this document.
N/A
To provide students with fundamental knowledge of cybersecurity applied to smart urban environments, enabling them to identify, assess and mitigate cybersecurity risks in critical urban infrastructures, as well as to protect citizens' privacy in complex digital ecosystems.
1. Information Security
1.1. The value of information
1.2. Basic notions of information security
1.3. Types of security
2. Practical security strategies
2.1. What is cybersecurity
2.2. Basic security measures
2.3. Data and application security
2.4. Security responsible entities
3. Cryptography. Digital signature
3.1. Introduction and fundamentals of cryptography
3.2. Public and private keys
3.3. Symmetric and asymmetric keys
3.4. Certification authorities
3.5. Digital signature
4. Communications network security
4.1. Internet, functioning, applications
5. Introduction to vulnerability analysis
5.1. Computer intrusion: vulnerability exploitation
5.2. Vulnerability exploitation. Stages of an intrusion
6. Forensic analysis
6.1. Forensic sciences
6.2. Computer forensics
6.3. Stages of computer forensic analysis
6.4. Analysis and investigation of computer crimes.
The legal framework 7. Regulatory compliance and International standards
7.1. Security plans 7.2. Information systems auditing 7.3. Regulations
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Teoria | 28 | 1.12 | CM05, CM05 |
Type: Supervised | |||
Activities and projects | 24 | 0.96 | CM05, KM09, SM06, CM05 |
Type: Autonomous | |||
Self-directed work | 70 | 2.8 | CM05, KM09, SM06, CM05 |
Theoretical knowledge is introduced and reinforced through oral presentation by the instructor, as well as through students' autonomous work with the study of specific materials or learning activities proposed by the course instructor. All course data and materials will be available on the Virtual Campus. This same platform will be used to achieve fluid communication between students and instructor. The teaching methodology will be based on three types of activity:
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Completion of problem-solving class activities | 10 | 4 | 0.16 | CM05, SM06 |
Development of practical assignments with descriptive report and defense | 30 | 20 | 0.8 | CM05, KM09, SM06 |
Knowledge tests for the course | 60 | 4 | 0.16 | CM05, KM09, SM06 |
The assessment of learning will be continuous and consists of the following elements:
a) Two tests on the content of the syllabus. These exams will be held in the middle and at the end of the semester. They will represent 60% of the final grade (30% + 30%).
b) The student will carry out practical work in a group of two people. The completion of the work represents 20% and the ability to find solutions to technical problems 10%.
c) The evaluation of the student's active participation in the debates and activities of the course and the presentation of the documentation defending the work. It will represent 10% of the final grade.
There are two tests that include the six blocks of material (1, 2, and 3 in the first test and 4, 5, 6, and 7 in the second test). The continuous assessment dates are set at the beginning of the course and do not have an alternative recovery date in case of absence. In case of any change in programming due to adaptation to possible incidents, these changes will always be informed.
Continuous assessment tests
Proves d'avaluació |
Pes nota avaluació continuada |
Nota mínima |
1,2,3 |
50% |
4.0 |
2. Nota final de l'avaluació
Nota final |
Pes nota final |
Avaluació continuada |
60% |
Has passed the two exams with a minimum grade per exam of 4 and a minimum average grade of 5. Has all the practical work deliveries approved (minimum grade of 5 in each and every one of the works). Has regularly participated in the course activities. Achieves a minimum overall grade equal to or greater than 5.
The final grade of the subject will result from the weighted average of all the assessment evidence: exams (60%), work (20%), evaluation of problem-solving skills (10%), and participation and presentation (10%). It will consist of a grade between 0 and 10. To pass the subject, a minimum total grade of 5 is required.
Once the ordinary assessment is finished, the student will have the possibility to take a re-evaluation exam within the dates scheduled by the Faculty.
a) To be eligible for re-evaluation, it is necessary to have participated in the assessment tests and submitted the practical work. b) The results of the practical work deliveries will not be re-evaluable. c) In the re-evaluation, the maximum grade that can be obtained for each of the re-evaluated tests is 5.
At the beginning of the academic year, if possible, it will be notified if there is validation of the work and its defense. If so, the validation will only be carried out for those students who request it and have passed the work and defense in the previous course. To be eligible for this differentiated assessment, repeat students must request it from the professor via email (enric.alibech@uab.cat) no later than 5 days after the start of classes.
If no delivery is made, no laboratory session is attended, and no exam is taken, the corresponding grade will be "non-assessable". In any other case, "not presented" counts as a 0 for the calculation of the weighted average, which, at most, will be 4.5. That is, participation in any assessed activity implies that "not presented" in other activities are considered as zeros. For example, an absence in a laboratory session implies a grade of zero for that activity.
Honors will be awarded to those who obtain a grade equal to or greater than 9.5 in each part, up to 5% of the enrolled students according to the descending order of the final grade. At the discretion of the teaching staff, they may also be awarded in other cases.
For this subject, the use of Artificial Intelligence (AI) technologies is allowed exclusively in support tasks, such as bibliographic or information search, text correction, or translations. The student must clearly identify which parts have been generated with this technology, specify the tools used, and include a critical reflection on how these have influenced the process and the final result of the activity.The lack of transparency in the use of AI in this assessable activity will be considered academic dishonesty and may result in partial or total penalization of the activity grade, or greater sanctions in severe cases.
Without prejudice to other disciplinary measures deemed appropriate, and in accordance with current academic regulations, irregularities committed by a student that may lead to a variation in the grade will be graded with a zero (0). For example, plagiarizing, copying, letting copy, unauthorized use of AI (e.g., not making correct use as stipulated in the previous paragraph), etc., an assessment activity, will result in failing this assessment activity with a zero (0). Assessment activities graded in this way and by this procedure will not be recoverable. If it is necessary to pass any of these assessment activities to pass the subject, this subject will be directly failed, without the opportunity to recover it in the same course.
This subject does not provide for the single assessment system
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Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 1 | Catalan | second semester | afternoon |
(PAUL) Classroom practices | 2 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 1 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 2 | Catalan | second semester | afternoon |
(PLAB) Practical laboratories | 3 | Catalan | second semester | afternoon |
(TE) Theory | 1 | Catalan | second semester | afternoon |