Category: [rede.APPIA]

A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019)

Carlos Filipe da Silva Portela
(Apologies for cross-posting) 

======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019)  Thematic track of the 19th Portuguese Conference on Artificial Intelligence (EPIA 2019)  3-6 September 2019, Vila Real, Portugal  Webpage: https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim  ======================================================================    IMPORTANT DATES  - Full Paper Submission: April 15, 2019  - Notification of Acceptance: May 31, 2019  - Camera ready Papers: June 15, 2019  - Conference Date: September 3-6, 2019    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems with selected papers*     INTRODUCTION  Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies.   Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices.   The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine?   Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals.   AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions.   AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge.   In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity.  This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions.   By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine.   Special attention will be given to the social impact/gain of the AI contributions in medicine.     TOPICS OF INTEREST  Innovative and exciting works are welcome in areas including but not limited to:    Medical methodologies, architectures, environments, and systems.  •	Agents for information retrieval;  •	AI in Medical Education and Clinical Management;  •	Wellbeing and lifestyle support;  •	Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine;  •	Methodological, philosophical, ethical, and social issues of AI in Medicine;  •	Pervasive Healthcare Environments;  •	Software architectures.  Knowledge engineering and Decision Support Systems:  •	AI-based clinical decision making and Clinical Decision Support Systems;  •	Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge;  •	Business Intelligence in Health Care;  •	Clinical Data Mining;  •	Data Streaming;  •	Diagnostic assistance;  •	Expert, agent-based or knowledge-based systems;  •	Medical knowledge engineering;  •	Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care.  Medical Applications and Devices  •	Computational intelligence in bio- and clinical medicine;  •	Electronic Health Records (eHealth);  •	Image recognition and interpretation;  •	Intelligent devices and instruments;  •	Sensor-based applications;  •	Telemedicine and mHealth solutions;  •	Ubiquitous devices in the storage, update, and transmission of patient data;  •	Usability and acceptability.  AI in Healthcare Information Systems  •	Autonomous systems to support independent living;  •	Healthcare System Based on Cloud Computing;  •	Intelligent Healthcare information systems;  •	Pervasive Information Systems;  •	Pervasiveness and Security in Clinical Systems;  •	Smart homes, hospitals and Intelligent Systems;  •	Simulation Computer systems.     PAPER SUBMISSION  Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages.   All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science).   Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.  All papers should be submitted in PDF format through the EPIA2019 submission Website (https://easychair.org/conferences/?conf=epia2019) selecting the track Artificial Intelligence in Medicine (AIM).  All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge).  *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk, allan.tucker@brunel.ac.uk

[rede.APPIA] EPIA-2019: Keynote Speakers and Social Program

Paulo Jorge Novais

**************************************************************************** EPIA*2019* 19th EPIA Conference on Artificial Intelligence epia2019.utad.pt/ September 3-6, 2019 Vila Real – Portugal **************************************************************************
Dear EPIA-2019 Thematic Track Organizers
It is our pleasure to announce that the EPIA-2019 will have as keynote speakers the following distinguish researchers:
*Marco Dorigo* Université Libre de Bruxelles, Belgium Title: *Swarm robotics: recent results and new research directions* Date: *Wednesday, 4th of September, 2019*
*Michael Wooldridge* University of Oxford, England Title: *Understanding Equilibrium Properties of Multi-Agent Systems* Date: *Thursday, 5th of September, 2019* ** *Albert Bifet* Telecom ParisTech, France Title: *Machine Learning for Data Streams* Date: *Friday, 6th of September, 2019* ** more information is available in: epia2019.utad.pt/index.php/more-info/keynotes
The EPIA-2019 will also have an interesting social program. Check the details in: epia2019.utad.pt/index.php/more-info/social-program
Don’t leave your paper submission for the last minute.
epia2019.utad.pt/index.php/call-for-papers
Best regards,
The EPIA-2019 organization.

[rede.APPIA] EPIA 2019 – CFP: Doctoral Symposium on Artificial Intelligence (SDIA- EPIA 2019)

Goreti Marreiros
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CALL FOR PAPERS
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Doctoral Symposium on AI
https://epia2019.utad.pt/index.php/83-thematic-tracks/114-sdia
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Thematic Track of 19th Conference on Artificial Intelligence (EPIA 2019)
3-6 September 2019, Vila Real, Portugal
https://epia2019.utad.pt/

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Submission deadline: June 1st, 2019
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EPIA’19 invites submissions to the Doctoral Symposium on Artificial Intelligence, SDIA. The goal of this symposium is to provide an informal environment where students in early stages of their doctoral research can present their main ideas and discuss them with other students and the senior scientific community. The main advantages of SDIA-19 are three-fold:

Students obtain feedback from the scientific community, in a early stage of the doctoral research.
To give students the opportunity to present their work in an informal environment, as a preparation to future presentations in international workshops and conferences.
Students have the opportunity to know the work of other students that are in the same stage of doctorial work and that have similar research interests.
SDIA is promoted by APPIA – Associação Portuguesa para a Inteligência Artificial (Portuguese Association for Artificial Intelligence), and it aims at improving the quality of Ph.D. thesis in Artificial Intelligence.

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Contributions
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The main topics of interest, but not restricted to are the following:
– Activity Recognition
– Agents and Multiagent Systems
– AI and Medicine
– AI and Law
– AI and the Web
– AI Architectures
– Ambient Intelligence
– Applications of AI
– Automated Reasoning
– Bio-Informatics
– Cognitive Sciences
– Collaborative Networks
– Computational Biology
– Computational Sustainability
– Computer Vision and Pattern Recognition
– Constraint Programming
– Control
– Data Mining, Text Mining and Web Mining
– Description Logics
– e-Commerce and e-Business
– e-Learning and Intelligent Tutoring
– Evolutionary Computation
– Fuzzy Logic
– Game Playing
– Game Theory
– Graphical Models
– Human Computer Interaction
– Human Robot Interaction
– Information Retrieval
– Knowledge Discovery
– Knowledge Representation and Reasoning
– Logic
– Machine Learning
– Multi-Robot Systems
– Natural Language
– Neural Networks
– Ontologies
– Optimization
– Plan Recognition, Execution and Monitoring
– Planning
– Preferences
– Probabilistic Reasoning
– Qualitative Reasoning
– Reinforcement Learning
– Relational Learning
– Robotics
– Scheduling
– Scientific Discovery
– Search
– Sensor Fusion
– Statistical Learning

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Submission Information and paper publication
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SDIA’19 accepts the submissions of full-papers, short-papers, position papers or thesis proposals. Submitted papers should be prepared according to the  Springer LNC format (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines), with a maximum of 12 pages. The papers include the following information: title, author, Ph.D. supervisor(s), abstract, keywords, starting and estimated conclusion date of Ph.D.

All papers should be submitted in PDF format though the EPIA 2019 EasyChair submission page (https://easychair.org/conferences/?conf=epia2019).

Accepted submissions will be published in the SDIA Symposium, a APPIA edition with ISBN.

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Important Dates
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Paper submission deadline: June 1st, 2019
Notification of paper acceptance: July 1st, 2019
Camera ready papers deadline: July 15, 2019
Conference dates: September 3-6, 2019
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Special Conditions
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Students with accepted papers in the SDIA session may have a reduced registration fee. Please check the Registration page (http://www.epia2019.utad.pt/index.php/bregistration).
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Organizing Committee
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Goreti Marreiros, Polytechnic of Porto (mgt@isep.ipp.pt)
Luís Macedo, University of Coimbra (macedo@dei.uc.pt)

Goreti Marreiros
Professor Adjunto
Departamento de Engenharia Informática

ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto – PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail@isep.ipp.pt | www.isep.ipp.pt

[rede.APPIA] Fwd: ***Business Applications of Artificial Intelligence (BAAI – EPIA 2019) *** Call For Papers

Henrique Lopes Cardoso

CALL FOR PAPERS

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Business Applications of Artificial Intelligence (BAAI – EPIA 2019)

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Thematic Track of 19th Conference on Artificial Intelligence (EPIA 2019)

September 3-6, 2019, Vila-Real, Portugal

https://epia2019.utad.pt/
Submission deadline: April 15, 2019

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Scope

AI is undoubtedly becoming a commodity in the business world. In fact, AI technology is increasingly used in major industries such as health, manufacturing, retail, automotive, education, marketing, sales, financial services, entertainment and security, to increase productivity and reduce costs. The Business Applications of Artificial Intelligence (BAAI) track will focus on bringing new insights on successful applications of AI technology in business as well as identifying challenges that can only be addressed by collaborative efforts between industry and academia.  Industry leaders need to learn with researchers how and where AI technologies can be applied in their organizations. On the other hand, researchers need to understand the challenges that companies are facing, the potential for solving them with AI technologies but also the additional challenges raised by developing solutions to real world problems with those technologies. The track will promote the discussion concerning challenges and potential solutions and the sharing of ideas and experiences between researchers (especially young ones, such as M.Sc. and Ph.D. students) and industry leaders. It also aims to disseminate recent research, innovative approaches and techniques, current trends and concerns.

Topics of Interest

The topics relevant to the track include, but are not limited to, the following:

AI applications in business, industry and government, involving technologies such as:

-Agent based systems

– Data science (data mining, big data, machine learning and deep learning)

– Evolutionary computation

– Expert and decision support systems

– Intelligent search

– Metaheuristics

– Intelligent planning

– Robotics

– Solutions based on the integration of multiple AI and other types of technologies

– Methodological issues in the development of AI projects

– Social impact of AI

– Business problems in need of AI solutions

 

Program Committee

Adam Woznica, Expedia, Switzerland
António Castro, FEUP/LIACC-NIADR, University of Porto, Portugal
Carlos Rodrigues, Marionete, United Kingdom

Carmela Comito, ICAR-CNR, Italy

Dario Oliveira, IBM Research, Brazil

Efi Papatheocharous, Swedish Institute of Computer Science, Sweden
Elaine Ribeiro de Faria, Universidade Federal Uberlândia, Brazil
Francesca Spezzano, College of Engineering, Boise State University, Italy

Gustavo Batista, Universidade de São Paulo, Brazil

Ida Mele, Universita' della Svizzera, Italy
Jean-Pierre Briot, Laboratoire d’Informatique de Paris 6 (Paris6-CNRS) & PUC-Rio, Brazil

Kaustubh Patil, MIT, USA

Lourdes Borrajo, Universidad de Vigo, Spain

Marisa Affonso Vasconcelos, IBM Research, Brazil

Paulo Cavalin, IBM Research, Brazil
Pedro Henriques Abreu, FCTUC-DEI/CISUC, Portugal
Peter Van der Putten, Pegasystems /U. Leiden, Netherlands

Rodrigo Mello, Universidade de São Paulo, Brazil
YongHong Peng, University of Sunderland, United Kingdom

 

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Submission Information

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All accepted papers will be published by Springer in a volume of Springer’s Lecture Notes in Artificial Intelligence (LNAI) corresponding to the proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019.

We accept three types of submissions, regular EPIA papers, M.Sc. project posters and industrial solutions and case studies, as detailed next.

Regular Submission

Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Program Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. Acceptance will be based on the paper’s significance, technical quality, clarity, relevance and originality. All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference.

All papers should be submitted in PDF format through the EPIA 2019 EasyChair submission page. Prospective authors should select the thematic track to which their paper is to be submitted.

Student project posters

M.Sc. students are invited to submit a 2 pages summary of their project (same formatting rules as for the regular papers). Although the discussion of results will be beneficial, it is not required. This means that students at early phases of their projects are encouraged to submit. Accepted submission will present their work at a poster session, where they will have the opportunity to interact with participants from the companies. Accepted submissions will be published in the local (online) web-page.

Industrial solutions and case studies

Submissions are invited for industrial solutions and case studies. Submit a 2 pages summary of solutions (general-purpose or specific tools) and case studies (success stories, lessons learned and challenges). The same formatting rules for the regular papers apply. Accepted submissions will present their work at a specific session, where the speakers will have the opportunity to discuss their work with academic experts on AI. Accepted submissions will be published in local (online) proceedings.

Participation

Registrations associated with student project posters and Industrial solutions and case studies have access to the technical program, participation in the welcome session, coffee-breaks and lunch on the first day. More information about registration can be found at the EPIA 2019 site.

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Important Dates

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Paper submission deadline: April 15, 2019
Notification of paper acceptance: May 31, 2019
Camera ready papers deadline: June 15, 2019
Conference dates: September 3-6, 2019

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Organizing Committee

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Célia Talma Gonçalves, CEOS.PP – ISCAP, P.Porto / LIACC, Portugal
Ana Paula Appel, IBM Research, São Paulo, Brazil

Eunika Mercier-Laurent, Global Innovation Strategies, France

Eva Lorenzo Iglesias, UVigo, Spain

Eugénio Oliveira, LIACC, FEUP-UPorto, Portugal
Carlos Soares, FEUP / INESC TEC, Porto, Portugal

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Please see more instructions for authors on the BAAI web page

https://www.epia2019.utad.pt/index.php/83-thematic-tracks/104-baai

[rede.APPIA] Prémio Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018: Deadline 17 de maio de 2019

Goreti Marreiros

Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018
Prémio da Associação Portuguesa para a Inteligência Artificial 

A APPIA institui o Prémio para a Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018, com a finalidade de distinguir trabalhos doutoramento de elevado mérito na área da Inteligência Artificial e que tenham sido obtidos numa instituição de ensino superior portuguesa durante o ano de 2017 ou 2018.

Em anexo segue o regulamento do prémio, sendo que as candidaturas devem ser efectuadas via preenchimento deste formulário até à data limite: 17 de Maio de 2019.


O prémio tem um valor simbólico de 1000 euros, sendo que o candidato (ou seu representante) receberá o certificado do Prémio de Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018 em Vila Real em Setembro de 2019, durante a realização da 19th Conference on Artificial Intelligence (EPIA 2019, http://epia2019.utad.pt)

Organizadores:
César Analide, Universidade do Minho
Goreti Marreiros, Instituto Politécnico do Porto
Francisco Pereira, Instituto Politécnico de Coimbra 







Goreti Marreiros
Professor Adjunto
Departamento de Engenharia Informática

ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto – PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail@isep.ipp.pt | www.isep.ipp.pt

pdf icon PremioTeseAPPIA-2017-2018.pdf

[rede.APPIA] CFP -Artificial Intelligence for Games (AI4G’19) Track of EPIA’19

Alberto Manuel Brandão Simões
*********** CALL FOR PAPERS ***********

Artificial Intelligence for Games (AI4G’19) Track of EPIA’19

AI4G 2019 will be held at the 18th Portuguese Conference on
Artificial Intelligence (EPIA 2019) taking place at Vila Real,Portugal, from

3rd to 6th September, 2019.  The call for papers of EPIA’19 and all information
about other tracks can be found at the EPIA URL:

Playing games has been considered a relevant task for AI research since
the very inception of the field. Some of the AI accomplishments have been
based on solving Games like Checkers, Chess and Go. Often, competitions
based on games are organized to foster the research on AI and define
frameworks for comparison of work. One example is the General Game Playing
that challenges AI players to play and win games they do not know beforehand.
Games can also be the base of research on computational creativity. The procedural
design of new levels for games or the design of complete games with novel gameplay
has been an interesting challenge. The generation of game content has been
addressed in the sense of story creation and interactive storytelling as well, which is
one of the very promising fields of research on AI for games, and one that attracts the
interest of the game development industry. Finally, the social nature of games, and in
particular of videogames, present good scenarios for exploring the social skills of AI
agents, in particular by interacting with humans. This thematic track brings together leading researchers to discuss recent advances and explore future directions in the applied field of
Artificial Intelligence for Games.

– TOPICS OF INTEREST

    Decision Making
    Learning in games
    Search-based approaches for games
    Neural-based approaches for games
    Player/Opponent modeling
    AI based game design
    Procedural content generation
    Intelligent interactive narrative
    Character development and narrative
    AI for virtual cinematography
    AI for non-player characters
    Multi-agent and multi-strategy learning in games    General game playing
    Theoretical or empirical analysis of AI techniques for games
    Comparative studies and game-based benchmarking of AI algorithms
    Applications of artificial intelligence in (non-inclusive list):
        Digital games (any platform)
        Board and card games
        Economic or mathematical games
        Serious games
        Realistic games for simulation or training
        Augmented and mixed-reality games

– IMPORTANT DATES

  April 15, 2019: Paper submission deadline
  May 31, 2019: Notification of paper acceptance
  June 15, 2019: Deadline for camera‐ready versions
  September 3‐6, 2019: Conference dates

– PAPER SUBMISSION

Submissions must be full technical papers on substantial, original,
and previously unpublished research. Papers can have a maximum length
of 12 pages. All papers should be prepared according to the formatting
instructions of Springer LNAI series. Authors should omit their names
from the submitted papers, and should take reasonable care to avoid
indirectly disclosing their identity. References to own work may be
included in the paper, as long as referred to in the third person. All
papers should be submitted in PDF format through the conference
management website at:
https://www.easychair.org/conferences/?conf=epia2019

– TRACK FEES

Track participants must register at the main EPIA 2019 conference.
No extra fee shall be paid for attending this track.

– ORGANIZING COMMITTEE

Alberto Simões, Polytechnic Institute of Cávado and Ave, Portugal
Antonios Liapis, University of Malta, Malta
Gustavo Reis, Polytechnic Institute of Leiria, Portugal

– PROGRAM COMMITEE

Carlos Martinho, IST, Universidade de Lisboa, Portugal
Christoph Salge, University of Hertfordshire, UK
David Carneiro, Universidade do Minho, Portugal
Daniele Gravina, University of Malta, Malta
Daniel Karavolos, University of Malta, Malta
David Melhart, University of Malta, Malta
Diego Perez Liebana, University of Essex, UK
Duarte Duque, Instituto Politécnico do Cávado e do Ave, Portugal
Éric Jacopin, ESM Saint-Cyr, France
Eva Hudlicka, Psychometrix Associates, US
Fernando Silva, New York University, USA
Gabriella A. B. Barros, New York University, USA
João Dias, IST, Universidade de Lisboa, Portugal
José Valente de Oliveira, Universidade do Algarve, Portugal
Konstantinos Karpouzis, National University of Athens, Greece
Luís Paulo Reis, Universidade do Porto, Portugal
Marco Scirea, University of Southern Denmark, Denmark
Michael Green, New York University, USA
Pedro Moreira, Portugal
Penousal Machado, Universidade de Coimbra, Portugal
Phil Lopes, GAIPS, Portugal
Rui Prada, INESC-ID / IST, Lisboa, Portugal

—
Alberto Simões
Responsável pela Área Estratégica dos Sistemas de Informação
Direção de Curso da Licenciatura em Engenharia de Sistemas Informáticos
Escola Superior de Tecnologia – Instituto Politécnico do Cávado e do Ave