After completing this course unit the student should be able to:
LO1. To know the technical, social and business forces that drive architectural choices.
LO2. To identify the main characteristics of a quality model for software architectures.
LO3. To describe an architecture using an adequate description language.
LO4. To recognize the major architectural styles of existing software systems.
LO5. To propose architectural alternatives for a problem and discuss their adequacy.

LO1. What Is Software Architecture and why it is Important
LO2 Understanding Quality Attributes (e.g. Availability, Interoperability, Modifiability, Performance, Testability)
LO3. Architectural Tactics and Patterns
LO4. Quality Attribute Modeling and Analysis
LO5. Architecture in Agile Projects
LO6. Architecture and Requirements
LO7. Designing an Architecture
LO8. Documenting Software Architectures
LO9. Architecture, Implementation, and Testing
LO10. Architecture Reconstruction and Conformance
LO11. Architecture Evaluation
LO12. Architecture and Software Product Lines

The practical nature of this curricular unit and the need for knowledge assessment to be carried out essentially through the ability of students to apply knowledge in the conception, design, implementation, validation, verification, deployment, maintenance and evolution of a software project, leads to the choice of a project-based evaluation method.

In the 1st season or normal season, periodic evaluation, with no obligation of minimum attendance, with 3 evaluation moments of the group project:
- Presentation of progress mid-semester weighting 20% of the final grade;
- Final project report weighting 15% and software delivered weighting 35% of the final grade;
- Final presentation weighting 10% and discussion weighting 10% of the final grade.

The evaluation is based on the performance and individual contribution of each member of the group.

Or evaluation at the end of the semester (1st season), by individual project with 2 evaluation moments:
- Project report weighting 20% and software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% and discussion weighting 15% of the final grade.

In the 2nd season, grade improvement or special season (under the terms of the RGACC), assessment by individual project, available to students who request it:
- Project report weighting 20% of the final grade;
- Software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% of the final grade;
- Discussion of the work weighting 15% of the final grade.

All assessment periods include an assessment component carried out on the eLearning platform, with a weight of 10% (2 out of 20) in the final grade.

All assessment components, in all assessment periods, have a minimum score of 9.5 (out of 20).

LO1: Research user needs and the implications of modality and social conduct for interaction and experience.
LO2: Analyse multi?modal interaction, groups of users, their communications, activities and contexts of use with respect to rich media.
LO3: Design input modalities, output media and interactive content to appeal to an audience.
LO4: Create and reflect upon critical design practice.
LO5: Understand the fundamental principles of data visualization.
LO6: Design analytic interfaces for business intelligence systems.
LO7: Compare and criticise different analytic interfaces.
LO8: Implement novel human-computer interactions adapted to different contexts.
LO9: To know hoe to analyse and quantify interface usability and user experience.

SC1: Understanding Contexts of interaction in human-computer interfaces
User Experience, Engagement and Communication
Analysis of users? needs
SC2: Designing User Experience (In Context)
Participatory Design
Design for Virtual and Augmented Reality
Designing Mobile Experiences and Smart Environments
Designing for Multiple Channels
Designing for Participation (online communities and social computing)
Creative use of storyboarding
SC3: Challenges of visualization or information in human-computer interfaces.
Applied to a wide variety of contexts for communication.
Applied to Business Intelligence and decision support systems
SC4: Fundamental principles of data visualization
SC5: Design of analytic interfaces for decision support:
Reporting
Dashboards
SC6: Crucial concepts of storytelling
SC7: Prototyping of human-computer interfaces
SC8: Evaluating Usability and User Experience:
formative evaluation;
evaluating mobile interaction, speech-based interaction;
usability heuristics.

Periodic assessment with two components:
1. Group project (55%): includes a report and a final prototype.
2. Presentation and discussion of the project
(45%), with an individual grade; presentation is mandatory for all elements of the groups. Presentations will occur in two moments comprised of oral presentations and project reviews.
Groups of 4 elements.
A minimum grade of 10 values in each component.
Alternatively, the student can be assessed with a final exam worth 100% of the grade.

The Information Systems Management (GSI) Curricular Unit (UC) aims to promote knowledge, planning, development and exploration of Information Systems, from different perspectives, allowing each student to have “their own path” in the program content . In this way, each student will have obtained a differentiated set of knowledge, supported by the Program and capable of supporting the learning objectives identified below.

I. Management and Management of ISs in the Company
The. Manage the organization and manage Information Systems and Technologies (ITS)
B. Concerns of STI Managers
w. Impact of STIs on Organizations
II. Information Systems and Technologies Planning
The. STI Strategy in Organizations
B. Business Vision by STIs
w. Align STI strategy with Business strategy
III. Develop Information Systems and Technologies
The. Architecture Concept in ITS
B. Frameworks and Reference Models for STI
w. Information Management and Knowledge Management
IV. Explore Information Systems and Technologies
The. Project management
B. Telecommunications, the Internet and wireless technologies
w. IS security

Continuous evaluation:
1. Group Work – 70% of the final grade
Classroom presentation 20% (min grade 9.5 val.)
Final Report – submission in Moodle 50% (min grade 9.5 val.)
2. Individual Work – 30% of the final grade
Chapter summary in research format 20% (min grade 9.5 val.)
Note: one submission per student (of one of the four chapters) – Moodle submission of support pdf
Intervention in the room per pitch of 5 minutes 10% (min. score 9.5 val.)
Note: one pitch per student – ​​Moodle submission of support pdf
Rating by Exam:
Exam 1st Season, 2nd Season, and Special Season (alternative to the previous ones)
Written Test (50%) + Case Report (50%) – statement to be provided by the teacher and submitted in Moodle

At the end of the course the student should be able to:
OA1. Identify the main historical milestones of ML.
OA2. Know its relations with other scientific areas.
OA3. Enumerate and recognize some of its applications.
OA4. Know the characteristics of the main algorithms in the field of Machine Learning.
OA5. Know, and be able to explain, the main concepts of an algorithm that exemplifies: Supervised Learning (symbolic and sub-symbolic), Unsupervised Learning, Reinforcement Learning and Search Algorithms.
OA6. Explain in full detail one of the learning algorithms studied.
OA7. Implement a learning algorithm or use one in a non-trivial problem.

CP1. Historical notes on Machine Learning. Relationship with other displines. Applications.
CP2. Machine Learning problems and approaches;
CP3. Unsupervised Learning;
CP4. Supervised Learning (symbolic and sub-symbolic);
CP5. Reinforcement Learning;
CP6. Search methods and Genetic/Evolutionary Algorithms;
CP7. Data pre-processing, results validation;
CP8. Speedup of ML algorithms.
CP9. ML algorithm implementation

It is only possible to pass this course by periodic assessment. It does not include assessment by exam.

Assessment elements:
- 4 practical exercises including a mini-test (15% each), during the teaching period;
- project in groups of 2 (40%) which includes a report (with a limit of 10 pages), code and oral presentation (approximately 10 minutes), to be carried out in any of the assessment periods - the project must be handed in no later than one week before the chosen assessment period.

The special assessment period will consist of the project and a written test which replaces the practical exercises.

Attendance is not used as an evaluation or failure criterion.

At the end of the learning unit, the student must be able to:
1. Be able to understand and determine the security environment in information systems;
2. Explain the role of cryptography in information security;
3. Understand and define access control policies;
4. Understand and apply certain security standards;
5. Provide advice in terms of network and information security;
6. Develop and implement a security plans;
7. Review and advise some security operations;
8. Plans for business continuity;
9. Establish policies and procedures for managing security incidents;
10. Understand the problems of software development and their security aspects and implications.

I. Introduction to Information Security
II. Access Control
III. Attacks and Monitoring
IV. Communications Security and Counter-Measures
V. Concepts and Principles of Security Management
VI. Value of Assets, Policies and Roles
VII. Security Aspects of Data and Applications
VIII. Malicious Code Attacks and Applications
IX. Encryption
X. PKI and Cryptographic Applications
XI. Cryptographic Material Management
XII. Security in Web Applications Development
a. Web Application Development Security
b. Security Vulnerability Analysis of Web Applications
c. Development Practices for Secure Web Applications
XIII. Principles of Computer Design
XIV. Principles of Security Models
XV. Administrative Management
XVI. Auditing and Monitoring
XVII. Business Continuity Planning
XVIII. Planning for Disaster Recovery
XIX. Laws and Investigations
XX. Incidents and Ethics
XXI. Physical Security Requirements

Periodic Assessment:
- Group projects (50%)
- Two intercalar individual tests (50%) [minimum score of 6 points for each test]. The first test occurs at the middle of the semester while the second one is on the first evaluation season.
Attendance of a minimum number of classes is not compulsory in Periodic assessment.
Assessment by examination:
For students who opt for this process or for those who fail the periodic assessment process, they will have 3 periods under the RGACC.

OA1. Develop skills of inquiry and reflection on the social and ethical impact of computing, and evaluate possible ethical and technical responses to those questions.
OA2. To think critically on the impact of introducing a given technology or product in a given environment. Will this product or technology enhance or degrade quality of life? What will the impact be upon individuals, groups and organizations?
OA3. Identify values that guide the day-to-day activities of professional practices of computing and communication technologies, debating and becoming familiar with standards of good practice, codes of conduct and codes of ethics established by professional associations.
OA4. To learn or discuss approaches to ethical aligned design methods, which seek to align technologies with defined values and ethical principles that prioritize human well-being.

1·Ethics, computing, and society: The specificity of ethical issues in ICTs; Human rights in the digital age.
2·The responsibility of engineers. Active and passive responsibility. The context of technological development.
3·Normative ethics: Values, norms and virtues; Utilitarianism, Kant, Virtue ethics; normative argumentation.
4·Applied computer ethics and policy gaps: Ethical decision making and case studies.
5·Privacy and data protection: The GDPR.
6·Intellectual and industrial property: Copyright, the legal protection of computer programs; patents.
7·New chalenges: Artificial Intelligence, ethical principles and the AI act proposal.

The evaluation in the 1st season is periodic or by exam.
Evaluation in the 1st season is by exam.

If the student chooses periodic evaluation, it includes:

Group assignment: 60%.
Individual written test: 37,5%
Attendance/participation: 2,5%.

Both the group assignment and the written test have a minimum score of 7 points.

O1. To understand basic ideas of management;

O2.To understand the historical approach of management;

O3.To understand the complexity of globalization;

O4.To understand the basic ideas of knowledge management.

O5.To understand the learning organization as knowledge discipline;

O6. To understand how important is the organizational culture to improve the organizational performance.

1. Basic foundations of management
2. Pioneering ideas of management
3. Globalization phenomenon
4. Knowledge management
5. Organizational learning
6. Organizational culture
7. Knowledge management and innovation.

OPTION 1:
Assessment throughout the term:
1.Involvement in class activities - 20%.
-Levels of attendance and punctuality.
-Participation in class.
-Answer of questions in class.
2. Test - 80%.
Passing grade is 10 points, with at least 7,50 points (out of 20) in the test.

OPTION 2:
End-of-term exam - 100%.
A positive evaluation means a grade of 10 or above (over 20).

After completing this course unit the student should be able to:
LO1. Know the fundamentals of functional programming
LO2. Apply meta-programming mechanisms
LO3. Design APIs (application programming interfaces)
LO4. Develop reusable software

PC1. Introduction to Kotlin programming language
PC2. Meta-programming and annotations
PC3. Design patterns for extensibility
PC4. Plugin-based systems

Periodic assessment:
- In-class quizzes (20%)
- Mid-term project evaluation (20%), to present during the semester
- Project (60%), to deliver and defend during the exam season

It is compulsory to attend at least 50% of the scheduled lectures and lab classes.

Project is the only form of evaluation, it is not possible to be evaluated through an exam. Evaluation in Época Especial requires delivering and defending the Project, with the requirement that its development should have been supervised during the semester classes.

OA1: Know how to systematically review relevant literature in a given technical-scientific field, including technical reports, standards, white papers or tutorials, to substantiate a problem and propose a solution.
OA2: Have selected one or more methodological approaches to achieve the project?s objectives, resulting in one or more technical-scientific contributions.
OA3: Know how to validate the artifacts that constitute the solution to the chosen problem and identify the corresponding validity threats.
OA4: Have learned how to prepare a master's project with quality, both in form and content.
OA5: To be able to present a technical-scientific problem and its motivation, to describe the project carried out to produce a solution for the same and to argue about the validity of the same.

1st SEMESTER
P1:Motivation to the problem and preliminary design of the solution
It involves the review of technical-scientific literature, guided by a protocol and its conclusions should be confirmed by domain experts. This step should clarify the problem relevance and the preliminary design of its solution
P2:Training of writing and presentation skills for technical-scientific works
Encompasses participating in seminars, cooperative workshops (e.g. posters session), mini courses and attending public defenses
2nd SEMESTER
P3: Implementation and validation of the proposed solution
The implementation implies the refinement of the design. Validation implies compliance with the steps of the adopted methodological approach(es) and comparing the proposed solution with the state of the art and/or their dissemination in technical-scientific venue(s) with peer review (e.g. tool demo session in conference)
P4: Project?s report writing
Must comply with the graphic presentation standards in force

Mid-term evaluation (1st semester) includes: dissertation proposal, introduction chapter, literature review, planning of the next stages and a presentation on the work in progress.
The final assessment will take into account the technical/scientific quality of the work, based on the dissertation document (A), the quality of the presentation and public discussion (B), weighted as follows: Final mark = 0.6*A + 0.4*B

The student should:
OA1: Know and apply good-practices of bibliography-research
OA2: Define, plan and be able to communicate a task of adequate complexity and magnitude
OA3: Execute a project of adequate dimension for the work-hours dedicated to this course

CP1: Introduction to research methods
CP2: Problem and research objectives formulation
CP3: Best-practices to develop a state-of-the-art
CP4: Writing and presentation
CP5: Execution of the project.

The intermediate evaluation (1st semester) include:
Project proposal, introduction chapter, literature review (and / or comparison with existing applications), planning and a presentation of the work in progress.
Final evaluation considers: intermediate evaluation (A), technical / scientific quality of the work, based on the Project report (B), quality of the public presentation and discussion (C), with the following weights: Final grade = 0.3*A + 0.5*B + 0.2*C