1. What is AI. Acting humanly. Thinking humanly. Thinking rationally. Acting rationally. 2. Foundations of AI. Philosophy. Mathematics. Economics. Neuroscience. Psychology. Computer Engineering. Control theory and cybernetics. Linguistics. 3. AI approaches. Hypothesis of physical symbols. Approaches inspired on biology. Emerging approaches. Approaches based on situated action and corporeal artificial Intelligence. 4. Pillars of AI. Knowledge representation and reasoning. Learning. Problem solving. 5. A brief history to AI. Current trends and challenges. Deep learning. Cognitive architectures.
Tipus d’activitat Hores amb professor Hores sense professor Hores virtuals amb professor Total Elaboració individual de treballs 0 10,00 0 10,00 Sessió expositiva 0 7,00 7,00 14,00 Sessió pràctica 0 3,00 3,00 6,00 Total 0 20,00 10,00 30
Stuart Russell (2018). Stuart Russell videos. Long-Term Future of Artificial Intelligence | Artificial Intelligence (AI) Podcast.. Recuperat 03/07/2020, a https://www.youtube.com/watch?v=KsZI5oXBC0k Stuart Russell (2019). Filter Bubbles and the Future of Artificial Intelligence. Recuperat 03/07/2020, a https://www.youtube.com/watch?v=ZkV7anCPfaY Minsky, Marvin. (2006). The Emotion machine :. New York: Simon & Schuster. Catàleg Marvin Minsky (2007). Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind . Recuperat 03/07/2020, a https://web.archive.org/web/20160530104419/http://video.mit.edu/watch/emotion-machine-commonsense-thinking-artificial-intelligence-and-the-future-of-the-human-mind-9267 Pedro Domingos (2016). Ten Myths About Machine Learning. Recuperat 03/07/2020, a https://medium.com/@pedromdd/ten-myths-about-machine-learning-d888b48334a3 Tom Mitchell (2017). Key Ideas in Machine Learning. Recuperat 03/07/2020, a http://www.cs.cmu.edu/~tom/mlbook/keyIdeas.pdf Russell, Stuart J.. (2021). Artificial intelligence : (Fourth edition). Upper Saddle River: Pearson. Catàleg
Activitats d'avaluació: Descripció de l'activitat Avaluació de l'activitat % Recuperable Job assignment - Report about the case study on a topic selected by the student. Completeness of the report according to the instructions given. Quality of the report contents according to the criteria provided by the professor. 100 Sí
Evaluation criteria regarding the report includes the justification of selection of a AI technique for dealing with a research problem, synthesis capacity, performance of an experimental work. The report should be provided by the Moodle platform at the date/time required. Otherwise, the student will have a second chance to provide the report (recovery), but with a reduced maximum score. If fraudulent actions are detected in any type of academic activity (use of information without authorization, use of false information, use of unauthorized devices, impersonation, total or partial plagiarism, purchase and sale of tests, practices and assignments, etc) the students involved will automatically suspend the subject. Depending on the type of fraudulent act, the School Director will initiate the appropriate procedures in accordance with the Spanish Law 3/2022 of February 24 on University Coexistence (https://www.boe.es/eli/es/l /2022/02/24/3). Criteris específics de la nota «No Presentat»:The no presentation of the report, will lead to the NP qualification. Avaluació única:Special cases will we attended according to the Doctoral School norms. Requisits mínims per aprovar:A minimum grade of 5.0 must be obtained to pass the subject.
Tutorships will be attended under appointment (to be requested via the Moodle tools or electronic mail).
During the course sessions, the students could ask questions according to the protocol stablied by the professor (raise your hand in presential mode, icone or other alternative in virtual mode). The News forum of the course’s Moodle is encouraged as the main via for doubts and questions arisen out of the course session, so as all the students could access to the information. Individual requests will be managed by e-mail.
There is a total of three sessions, combining lecture room with lab (computer) room. When required, virtual sessions will be enabled. But in-person class is encouraged to enhance networking among the students. Lab sessions are easy to follow by persons with low skills in computer programming (tutorials, step by step).