Bachelor Degree

Accreditations

A3ES logo

More

Accredited
3 Years
30 Jul 2022
Accreditation DGES
Initial registry R/A-Cr 131/2022 de 11-07-2022
Update registry R/A-Cr 131/2022/AL01 de 11-08-2023
Contacts
School of Applied Digital Technologies (Iscte-Sintra)
Avenida Heliodoro Salgado nº 3 2710-569 Sintra
secretariado.sintra@iscte-iul.pt
210 464 360
9:00 - 17:30
Apply
Lectured in Portuguese
Teaching Type In person


Faculty for (2024/2025)

Entrepreneurship and Innovation II
André Glória received the B.S. and M.S. degrees in telecommunication and computer engineering from ISCTE – Instituto Universitário de Lisboa, in 2015 and 2017, respectively, and his Ph.D. degree in information science and technology, with a specialty in Internet of Things and Machine Learning, at the same university in 2021. From 2016, he is an Invited Assistant in the field of Innovation and Entrepreneurship, Software Development and Artificial Intelligence in the Information, Science and Technology department in ISCTE-IUL, where is also a Researcher on Internet of Things, Machine Learning, Wireless Sensor Network, Wireless Communications, Sustainability and Green Tech, with more than 20 published papers in International Journals and Conferences and the supervision of 10 Master ThesisBesides the academic work, he is also active in the industry, being the co-founder and CTO of a Portuguese startup in the field of sustainable irrigation systems since 2017 and the Head of IoT Innovation for the Portuguese market at Phillip Morris International since 2022.
Autonomous Agents | Principles of Data Analysis
António Filipe Fonseca is an engineer and complexity sciences researcher. He graduated in Electronics and Telecommunications from IST in Lisbon and holds a Master's degree and a PhD in Complex Systems Sciences from ISCTE/IUL and Faculdade de Ciências de Lisboa. His main research interests are complex social systems, information dynamics and modelling and simulation of complex systems. He worked in several private companies as an engineer before joining the public service as an IT expert. Currentlys is Assistant professor in ISCTE Sintra and Integrated Researcher  at ISTAR/ISCTE -IUL Lisbon.
Unsupervised Machine Learning | Supervised Machine Learning | Artificial Intelligence | Applied Project in Artificial Intelligence I | Applied Project in Artificial Intelligence II
António Raimundo, who holds a PhD in Information Science and Technology from Iscte - University Institute of Lisbon, Portugal, is an Assistant Professor at the School of Applied Digital Technologies at Iscte Sintra, where he also coordinates the Bachelor's degree in Digital Technologies and Artificial Intelligence. Currently, he is an Integrated Researcher at ISTAR-IUL, focusing his research on areas such as Machine Learning / Deep Learning, Large Language Models, Computer Vision, and Data Science. With several years of teaching experience, he has had the opportunity to be a trainer in short courses, postgraduate programs, and a speaker at various business events.
Analytical Information Systems
Object Oriented Programming
Programming Fundamentals
Duarte is a PhD fellow in Information Science and Technology at the Istar-Iscte research center. He completed his BSc. (2018) and MSc. in Computer Science and Management (2021) from Iscte. His main areas of study are geographic information systems (GIS), tourism, agent-based modeling (ABM), and Digital twins (DT). He participated in the Iscte Spots project, a multiplatform mobile application with serious games to show the history of Iscte and the RESETTING European project for sustainable tourism digital transformation and the development of smart tourism toolkits. He has some publications in quality journals and conferences on his main research topics, some related to the projects mentioned above. He has a passion for teaching computer science, with a focus on programming, having taught several curricular units at Iscte as a monitor and invited assistant professor, as well as some modules in the UpSkill initiative, a partnership between IEFP and several universities in the country (including Iscte).
Entrepreneurship and Innovation I
Entrepreneurship and Innovation II
Projects in Web and Cloud Environments
Work, Organizations and Technology
Project Planning and Management
Technology, Economy and Society
I’ve studied physics and mathematics for a while at the at the University of Lisbon, but ended up graduating in Antropology, in 1996, at the Nova University of Lisbon. Then I began working as an IT consultant for a printing company. In 2007, I left the private sector and started teaching Mathematics at the Higher School for Elementary Teachers Maria Ulrich, where I stayed for seven years. In 2014, I got my doctoral degree in Philosophy of Contemporary Thought, at the University Lusófona de Humanidades e Tecnologias, with a thesis about volition and human intelligence simulation, using AI. In 2015, I joined the Centre for the Philosophy of Sciences of the University of Lisbon (CFCUL, now closed), where I came up with the wave-memory interpretation of Quantum Mechanics and started working on the Philosophy of Artificial Intelligence, focusing on the social aspects of AI. Recently (2022, 2024) I have co-organized the first and the second Portuguese Symposiums in Philosophy and Artificial Intelligence, participated in public events and given interviews to the media about AI and society. Presently, I am a Professor in the ISCTE-Sintra School of Digital Technologies, where I teach about the societal and ethical impacts of digital technologies and AI on contemporary societies. My actual interests (and concerns) are AI surveillance and human freedom impact, political manipulation using disinformation, virtual and augmented reality design and artificial consciousness.
Algorithms and Data Structures
Mariana Catela Jacob Rodrigues is an Invited Auxiliar Professor in Iscte - University Institute of Lisbon and a research assistant at the Instituto de Telecomunicações, Instrumentation and Measurement Group, Lisboa. She received her BSc and Msc in Telecommunications and Computer Engineering from Iscte - University Institute of Lisbon, in 2017 and 2019, respectively. She holds a PhD in Information Science Tecnhology from Iscte, since 2024.  Her research focuses on designing ambient assisted living environments and adaptive environments through the implementation of wireless sensor networks and artificial intelligence software modules. Her research interests include Smart Sensors, Internet of Things, Environment Monitoring, Cardiorespiratory Activity Monitoring, Mobile App Development and Ambient Intelligence.  Currently, she is the Vice-Chair of the IEEE Student Branch, Chair of the IEEE Women in Engineering (WIE) Affinity Group and Chair of the IEEE Instrumentation and Measurement Society Chapter of Iscte - University Institute of Lisbon. 
Applied Mathematics Complements | Applied Mathematics
Statistics and Probabilities
Patrícia Costa holds a PhD in Production and Systems Engineering (thesis in the area of statistics/psychometrics) from the University of Minho, a Master's degree in Mathematics - Teaching (thesis in the area of statistics/psychometrics) from the University of Beira Interior and a degree in Mathematics - Educational Training from the University of Coimbra. Her research focuses on Educational Assessment, Applied Statistics, Comparative Education and Psychometrics. She is an integrated member of ISTAR-IUL - Information Sciences and Technologies and Architecture Research Center. She has experience in teaching Statistics and Mathematics in Higher Education, research and providing technical support to policy makers at the Joint Research Center (JRC) of the European Commission. She is the author/co-author of several scientific articles in international journals, book chapters and technical reports and has experience in organising international scientific events.
Big Data
Paulo Vieira is an invited professor at ISCTE-IUL and student researcher at LASIGE Computer Science and Engineering Research Centre. His academic background includes a 1st cycle degree in Computer Engineering from Instituto Superior de Engenharia de Lisboa, a Master's degree in Computer Engineering from Instituto Superior de Engenharia de Lisboa. He is currently working on his PhD in Informatics from Faculdade de Ciências da Universidade de Lisboa. His research interests focus on emotion, machine learning and information systems.  
Entrepreneurship and Innovation I
Database and Information Management
Has a bachelor degree in Informatics Engineering in 1997 by the Faculty of Sciences and Technology of the New University of Lisbon.  He obtained a master degree in Applied Artificial Intelligence in 200 by the Faculty of Sciences and Technology of the New University of Lisbon under the supervision of Luís Correia.  He obtained a doctoral degree in Informatics in 2006 by the Faculty of Sciences of the University of Lisbon under the supervision of Luís Correia. He has taught in the Electronics, Telecommunications and Informatics Department of the University of Aveiro and in the Informatics Department of the Faculty of Sciences of the University of Lisbon. Among the courses he taught are Operating Systems, Artificial Intelligence, Programming, Automata Theory, Data Bases, and Distributed Systems. He has participated in the European projects ASSISIbf and InfoHabitants. He was a co-principal investigator in projects funded by the research unit BioISI. He is the co-principal investigator in the INTERPHENO project funded by the Portuguese science foundation. He is a researcher in the ExpoLIS projected funded by FEDER. He is a collaborator of the research units BioISI and Lasige. He was a program committee member in several conferences from the Artificial Life field. He has participated in the organisation of Portuguese conferences as well as Portuguese programming competitions. His research interests are focused in applying techniques from machine learning to the generic game playing field and to the classification of real world data.
Programming and Analysing Data in Excel
Contacts
School of Applied Digital Technologies (Iscte-Sintra)
Avenida Heliodoro Salgado nº 3 2710-569 Sintra
secretariado.sintra@iscte-iul.pt
210 464 360
9:00 - 17:30
Apply
Back to top