1. Explore recent scientific developments in Artificial Intelligence (AI), Automatic Learning (AA) and Robotics.
2. Increase knowledge on tools and platforms applied to AI, AA and Robotics.
3. Deepen autonomous working skills in the preparation of critical reflection texts.
4. Develop skills in using tools and sources to create a state-of-the-art report on a topic covered in one of the seminars.
1. The seminars cover a wide range of topics, such as: (a) aspects of robotics and educational robotics, (b) applications in AI and AA, (c) programming and simulation platforms in AI, AA and robotics (d) data security and applications (e) ethics and legislation.
2. Guidelines for the creation of monographs (content, formatting and bibliography) and software tools to support the creation of scientific documents.
In this curricular unit are addressed invitations to teachers and researchers to hold presentation sessions on different topics in the course area. The students will create a monograph on one of the themes presented, or in a different one selected in agreement with the professor of the curricular unit. They also will participate in the discussion forum on the topics discussed.
The final assessment is the average of the marks for 3 critical reflections or two critical reflections and a state of the art. If students submit more than 3 assessment elements, only the best 3 will be considered for the average.
Students are graded positively if AF is greater than or equal to 9.5. A lower value implies the need to carry out (at least) one more critical reflection in examination time.
Paulo J. S. Gil, Ana F. C. Relvas (2015). O pequeno livro da dissertação. Instituto Superior Técnico.
Turabian, Kate (2007). A Manual for Writers of Research Papers, Theses and Dissertations. The University of Chicago Press
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