The Group on Social Impact of AI, professors, assistant teachers and supporting students, are responsible of lecturing in the following courses of the Dep. of Computer Science, Engineering School, UAB under the coordination of Prof. Fernando Vilariño.
LECTURES
SMART CITIES
- 104538: Open Urban Innovation
- 104550: Models of Urban Innovation and Citizen Science
COMPUTER ENGINEERING
MASTER IN COMPUTER VISION
- Module III: Machine Learning for Computer Vision
FINAL YEAR PROJECT, MASTER AND PHD THESIS
FINAL YEAR PROJECT
- 104546: SMART CITIES Final Year Project -TFG projects- (open to new students, compatible with an academic practicum at CVC: See Open Positions) (here the list of my final year project students and thesis)
- 104546: COMPUTER SCIENCE Final Year Project -TFG- (open to new students, compatible with an academic practicum at CVC: See Open Positions) (here the list of my final year project students and thesis)
MASTER THESIS
- Master Thesis: COMPUTER VISION Master Thesis (open to new students!) (here the list of my master students and thesis)
PHD THESIS
- PhD Thesis: COMPUTER VISION PhD Thesis (open to new students!) (here the list of my PhD students and thesis)
- PhD Thesis: LIVING LABS PhD Thesis (open to new students!) (here the list of my PhD students and thesis)
CAPACITY BUILDING
LIVING LABS METHODS AND TOOLS
- “Living Lab Methodologies“. AI4ALL Etrepreneurship Course. (2019-)
- “Governance Models for Living Labs“. ENoLL Virtual Learning Lab. (2019-).
CITIZEN SCIENCE
- “Citizen Science and Public Engagement“. SMART-ER Academy 2-ECTS micro-module. (2021-).
- “Building Blocks of Citizen Science“. ECIU University Micro Module on Intercultural Competences. (2021-).
INNOVATION IN TEACHING
MY MANIFESTO FOR INNOVATION IN TEACHING
(download the pdf)
The Student will be engaged from minute-zero within multi/trans/inter-disciplinary research actions.
The Student will:
- engage with glocal challenges (CBR)
- throughout the process of capacity building from a personal dimension
(student-centric CBL)The Teacher will be both:
- a knowledge enabler
- a mentor
GRANTED COMPETITIVE PROJECTS
- Development of active methodologies, Service Learning and Challenge-Based Learning, applied to the subjects of External Practicum and Final Year Project. A transversal and interdisciplinary tutorial action towards the SDGs (2022-2024)
- Adaptation of the HACKATHON methodology as a challenge-based learning multi-disciplinary tool (2021-2022).
- Development of the HACKATHON tool as a teaching methodology (2020-2021, extended to 2022).
PERSONAL PROJECTS
- The UAB Campus as a Living Lab (2022-).
- Co-design and implementation of a challenge-based learning methodological approach to include citizen science as a learning tool: The case study of waste-management in the metropolitan city of Mollet del Vallès (2020-2022).
- Inclusion of agile methodologies for problem-based approaches in the subject of Robotics (2017-).
RECENT PUBLICATIONS ON INNOVATION IN TEACHING
- Vilariño, F. and Serra-Ruiz, J. Implementing Hackathons with Students from Multi-Disciplinary Higher Education Degrees for a Challenge-Based Learning Approach. In EDULEARN22, Online Proceedings. pp: 1850. 2022. doi: 10.21125/edulearn.2022.0492
- Vilariño, F. Citizen Science as a Tool for Challenge-Based Learning in Higher Education. In EDULEARN22, Online Proceedings. pp: 1850. 2022. doi: 10.21125/edulearn.2022.0492
- Vilariño, F. and Serra-Ruiz, J. Hackathon as a teaching methodology for challenge-based learning. In EDULEARN21 Proceedings. pp: 8123-8130. 2021. doi: 10.21125/edulearn.2021.1645.
- Loujus, S., Kauppinen, S., Vilariño, F., et al. Developing short-term exchange for Master’s degree students in digital service design. In EDULEARN19 Proceedings. pp: 3876-3886. 2019. doi: 10.21125/iceri.2019.0982.
STUDENTS’ PORTFOLIO OF RESULTS FROM THE PROJECTS ON INNOVATION IN TEACHING
Click below to view the outcomes of using agile methodologies and problem-based-learning in Robotics
Click below to view the outcomes of using challenge based-learning and living labs methods and tools for “the uab campus as a living lab”:
Click below to view the outcomes of using challenge based-learning using citizen science:
Click below to view the methodological adaptation of hackathon a as teaching tool.
PAST TEACHING:
SMART CITIES
- 104553: Robotics in the Smart City (2020-2021)
MASTER IN COMPUTER VISION AND ARTIFICIAL INTELLIGENCE
- Module VII: Introduction to Research Dissemination (2012-2016)
- Module IV: Introduction to Research and Develpment (2008-2012)
- Module II: Introduction to Computer Vision (2008-2012)
COMPUTER ENGINEERING
- 102754 Multimedia Systems / Sistemes Multimèdia (2008-2020)
- 20384 Databases in the Internet /Bases de Dades II (2000-2005)
ONLINE COURSES (Coursera)
- Object Recognition/Reconocimiento de Objetos (course in Spanish language).