Programme
Dates: July 15 - 26
Place: Dep. of Electrical and Computer Engineering (DEEC, UC), Polo2.
Format: 12 modules (81 hours) in-person. Starting at 9:30 a.m. room T4.4
N# max. students: 40
Module 1. Introduction and overview: robotics and machine learning (15 July) 9h30
Cristiano Premebida / Jérôme MendesModule 2. Fundamentals of mobile robotics (15 July) 14h00
Jorge Batista / Kennedy Mota / Diogo OliveiraModule 3. Mobile robots perception (16 July) 9h30
Cristiano PremebidaModule 4. Mobile robotics hardware and systems (16 July) 14h30
Lino Marques / Sedat Dogru
Module 5. Robotics simulation, Robot Operating System (17 July) 9h30
David Portugal / Afonso Elói Carvalho / Mário Cristóvão / Luís Garrote
_______________________________ ML Part:
Module 6. Probability, Bayesian inference, Bayesian Networks (17 July) 14h00
Cristiano PremebidaModule 7. Pattern recognition, principles, algorithms (18 July) 9h30
Paulo Peixoto / João Paulo
Module 8. Linear and non-linear regression (18 July) 13h00
Nuno GonçalvesModule 9. Introduction to Deep-learning and machine vision (19 July) 9h30
Pedro Martins / Pedro Conde / Cristiano PremebidaKeynote speaker (11h30) - "Artificial Intelligence @Critical Software"
Module 10. Reinforcement Learning and Fuzzy-systems (19 July) 14h00
Urbano Nunes / Jérôme Mendes / Luis Garrote, João Perdiz
Module 11 & 12. Projects and case studies (week 22 - 26 July)
Topics related to robotics and machine learning.
Schedule
Typically, the Modules will be organized in two Sessions:
1st week (modules 1-10): lectures, tutorials, invited talks. Normally the lectures starts at 9h30 a.m. and then at 14h00 (after lunch).
2nd week (modules 11-12): practical/hands-on activities, projects.