Programme

Dates: July - October

Place: room T4.4 (4th floor), at Dep. of Electrical and Computer Engineering (DEEC, UC)

Format: 12 modules (3 months, 81 hours) in-person.

N# max. students: 20 *

* due to the COVID-19 situation, and according to the DGS recommendations, the number of students had to be significantly reduced.

  • Module 1. Introduction and overview (30th July, 9:30)
    Cristiano Premebida / Jérôme Mendes
    Invited Speaker: João Filipe Ferreira, (11:00-12:00+Q&A) "Forestry Robotics — the Right Bet at the Right Time?"

  • Module 2. Fundamentals of mobile robotics (31st July, 9:30)
    Jorge Batista / Fábio Faria

  • Module 3. Mobile robotics hardware and systems (5th Aug, 9:30)
    Cristiano Premebida / Tiago Barros

  • Module 4. Mobile robotics programming/coding (6th Aug, 9:00 @Ingeniarius)
    Micael Couceiro / Filipe Pinto / André Araújo
    9:00 - 12:00 (ROS framework), [Lunch time], 13:00 - 18:00 (Robotics simulation environment)

  • Module 5. Robotics simulation, Robot Operating System (7th Aug, 9:30)
    David Portugal / Luís Garrote
    _______________________________

  • Module 6. Probability, Bayesian inference, Bayesian Networks (3rd Sep, 9:30)
    Cristiano Premebida / Gledson Melotti
    Invited Speaker: Carolina Raposo , (16:00-17:00+Q&A) "Computer vision and machine learning for computer-aided surgery"

  • Module 7. Pattern recognition, principles, algorithms (4th Sep, 9:30)
    Paulo Peixoto / João Paulo / Ricardo Pereira

Invited Speaker: João Carreira "Video understanding with neural networks" (10th Sep, 16:00)

  • Module 8. Linear and non-linear regression (16th Sep, 10:00)
    Nuno Gonçalves / João Barreto

  • Module 9. Introduction to Deep-learning and machine vision (17th Sep, 9:30)
    Cristiano Premebida / Jorge Batista / Pedro Martins / Gledson Melotti

  • Module 10. Kalman filtering, particle filtering, fuzzy-systems (10th Oct, 9:30)
    Urbano Nunes / Jérôme Mendes / Luis Garrote
    Invited Speaker: Francisco A. Souza, (12:00-13:00+Q&A) "Regression Analysis and its Applications to Process Industry"

  • Module 11. Case studies (24th Oct, 9:30)
    Invited Speakers:

    1. Joana Costa (via Zoom 10:00-11:00) "Information extraction in social media: the wisdom of crowds"

    2. Diego Faria, Jordan Bird (via Zoom 11:00-12:00) "Towards Socially Assistive Robotics and Human-Machine Interfaces to Enhance Wellness and Quality of Life for Humans"

  • Module 12. ML in practice (24th Oct, 14:00) - Students' presentations + Q&A

      • Exceptionally some students will make the presentation on 28th/Oct 19:00-19:50.

Schedule

Typically, the Modules will be organized in two Sessions:

  • Morning Sessions: 9/9:30 - 10:30, coffee-break, 11:00 - 12/12:30 (lectures, talks)

  • Afternoon Sessions: 14/14:30 - 17:00 (Labs, practical/hands-on activities)

Dates (may be subjected to changes)

Module 1 - 30/July (Thu)

Module 2 - 31/July (Fri)

Module 3 - 05/Aug (Wed)

Module 4 - 06/Aug (Thu)

Module 5 - 07/Aug (Fri)

BREAK - practical/Lab activities and coursework

Module 6 - 03/Sep (Thu)

Module 7 - 04/Sep (Fri)

Module 8 - 16/Sep (Wed, 10:00 am)

Module 9 - 17/Sep (Thu)

Module 10 - 10/Oct (Sat)

Module 11 and 12 - 24/Oct (Sat)