Bachelor (BSc)


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2 Years
13 Jun 2022
Accreditation DGES
Initial registry R/A-Cr 134/2022
Update registry R/A-Cr 134/2022/AL01
12 Jul 2023
School of Applied Digital Technologies, Iscte-Sintra
Avenida Heliodoro Salgado nº 3 2710-569 Sintra
210 464 360
9:30 - 18:00
Lectured in Portuguese
Teaching Type In person

Faculty for (2023/2024)

Supervised Machine Learning | Artificial Intelligence
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.
Financial Modelling
Entrepreneurship and Innovation II | Entrepreneurship and Innovation II
Algorithms and Data Structures
Graphs and Complex Networks
Since 2022, I am teaching at ISCTE Sintra - Instituto Universitário de Lisboa, the courses of Graphs and Complex Networks, Calculus (with Python), and Applied Mathematics. In the period 2021 - 2023, I also taught at Instituto Superior de Educação e Ciências de Lisboa, courses like Mathematics, Physics, and Computer Science. I am an enthusiast of science and knowledge development, and my research goals are to join topics of mathematical modelling and civil protection and society in general.I am passionate about education and my drive is to allow everyone to learn and master any skill they desire, with the right direction and strength, and for some years I have been a volunteer in a social institution teaching Portuguese and mathematics to illiterate people.I have worked in data analysis, data visualisation, data science, problem solving, and research and interpretation of data. My professional drive is to use my analytical skills to find solutions in short amounts of time, whether it requires organisation knowledge, team-working, scheduling, management, programming, or innovation.I have worked as a researcher in a project implementing mathematical and computational techniques into biological data, specifically the evolution of viruses in terms of their mutations and virulence. Unfortunately, it did not help prevent the covid-19 pandemic, but certainly projects like those help improve the knowledge which led to the quick vaccination development.In terms of academics, I have a Ph.D. from Cranfield University in the United Kingdom, which followed an M.Sc. in Physics from the University of Lisbon in Portugal. The main focus of my doctorate research was to analyse automotive supply chains and develop a synthetic network creation model which could replicate the main features of real-life supply chains. The resulting model was quite accurate, and it permits managers to know with a high degree of certainty the structure of their supply chain, with just a few data points.Regarding my soft skills, Determination and Hard Work are two of the most important in my career. No path is easy and not only “geniuses can do it"... with passion and hard work, anyone can achieve their goals.
Database and Information Management
Principles of Data Analysis
Spatial data analyst with academic and professional background in architecture, urbanism and data science. With strong interest in innovation, technology, information management and smart cities, keen on using her technical expertise to tackle complex data challenges.Her research focuses on scientific understanding of cities through simulation, data analytics and visualisation. Her main areas of expertise are machine learning for geo-spatial data, network science, complex networks and urban informatics.
Linear Algebra and Applications | Numerical Analysis | Multivariable Calculus | Mathematical Optimization
Rosário D. Laureano is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, teaching multivariate calculus, multicriteria analysis, nonlinear optimization, and modelling of complex systems in the Department of Mathematics. She has a degree in Pure Mathematics by Faculty of Science of Lisbon University, MSc. in Applied Mathematics by IST-Instituto Superior Técnico of Technical University of Lisbon, and Ph.D. in Quantitative Methods with specialization of Mathematics by ISCTE. Her research interests include synchronization and control of chaotic dynamical systems, quantum dynamics, optimization methods, complex networks, and analysis of error in maths’ learning, being an integrated researcher at ISTAR - Information Sciences, Technologies and Architecture Research Center and a member of the Executive Committee and the Scientific Council of this research center. Since 2018 she is the coordinator of the CCM - Complexity and Computational Modelling research group of ISTAR. She was a collaborator member of CFCUL (2004-2016) integrating the research line Philosophy of Mathematics and the FCT project Poincaré Philosopher of Science. She is now a member of the ISCTE Data Science Executive Group.  
Work, Organizations and Technology
Professor Nuno Nunes, Iscte-University Institute of Lisbon Key-Expertise: inequality, collective action, well-being, development, and digital society. Homepage: With a Ph.D. in Sociology (since 2011), my thesis was about Social Inequalities and Collective Action in Europe. First and after my doctorate, I was a Researcher at the Centre for Research and Studies in Sociology (CIES-Iscte), but since 2018 I have also become Professor at Iscte-University Institute of Lisbon, one of the most prestigious Portuguese universities. Currently, I am teaching “Contemporary Social Inequalities”, “Sociology of Development”, “Sociology of Globalisation”, “Work, Organisations and Technology”, and “Introduction to Sociology”. I have been mainly working on the themes of inequality, class, collective action, and well-being. Today's world is much better understood from the perspective of social inequalities, which continue to decisively mark the lives of people, institutions, and societies. My scientific objectives are precisely to contribute to the strengthening of theoretical, analytical, and empirical instruments capable of understanding their multidimensionality, mechanisms, and intersections. There are multiple social phenomena influenced by inequalities, social classes, and social stratification processes and it is in this sense that I have developed my work, seeking to understand how social inequalities influence collective action and the well-being of citizens. My research has followed the approach that inequality processes are increasingly global, but that national and intra-national scales remain equally relevant. I have published 20 articles, 5 Books, 27 Book Chapters, 13 Working Papers, and 8 Proceedings of Scientific Meetings, 28 of them with internationally recognized scope. My articles have appeared in European Societies, Journal of Civil Society, Education Sciences, Sensors, Portuguese Journal of Social Science, Sociologia, Problemas e Práticas, European Journal of Engineering and Formal Sciences, Sociologia On Line, and Sociologia. I am participating or have participated in 25 research projects, 9 of them international, and 13 under my coordination (3 national coordination of international projects and 10 national projects). My research has been funded by FCT – Foundation of Science and Technology, the European Union (Horizon Europe and Horizon 2020), the Spanish National Research Council, Portuguese foundations, Portuguese municipalities, and NGOs. I have participated in 142 conferences, 63 international and 44 as a keynote speaker.  I have organized 27 scientific events, 10 of them international. I belong to the international network “International Society for Quality-of-Life Studies”. Between 2016-2023, I was the team coordinator in charge of the National Research Stream ‘Social Classes, Inequalities, and Public Policies’ of the Portuguese Sociological Association (APS). Currently, I supervise Ph.D. and master thesis on the subjects of social inequalities, class, elites, collective action, social cohesion, welfare, and digital divides.  I am a National Adviser for Horizon Europe, Coordinator of the Thematic Line “Digital Transformation” of the SocioDigital Lab for Public Policy, Member of the General Council of Iscte and the Editorial Board of “Sociologia, Problemas e Práticas” [Sociology, Problems, and Practices], and Subdirector of the Publisher “Mundos Sociais” [Social Worlds].
Numerical Linear Algebra | Single Variable Calculus
Entrepreneurship and Innovation I
Project Planning and Management
Programming Fundamentals
School of Applied Digital Technologies, Iscte-Sintra
Avenida Heliodoro Salgado nº 3 2710-569 Sintra
210 464 360
9:30 - 18:00
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