Bachelor (BSc)


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6 Years
30 Jul 2022
Accreditation DGES
Initial registry R/A-Cr 132/2022 de 08-07-2022
Update registry R/A-Cr 132/2022/AL01, de 20/10/2023
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)

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.
Electricity and Mechanics
Work, Organizations and Technology
João Henriques is a Guest Lecturer at Iscte-IUL's Sintra School of Social and Business Sciences. He is also a PhD student, and former scholarship holder (Foundation for Science and Technology, FCT), in Sociology at Iscte-IUL. His initial academic training is in the area of ​​Civil Engineering (Bachelor and Master), and later in Sociology (Master). He is a research assistant at the Centre for Research and Studies in Sociology (CIES) where he has participated in studies in various thematic areas, such as social inequalities, environment and sustainable development, social cohesion, education, employment, family and work.
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.
Project Planning and Management
Linear Algebra and Geometry
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.  
Electronic Circuit Analysis
Introduction to Statistics
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 has experience in teaching 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.
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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