| Code |
6626
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| Year |
2
|
| Semester |
S1
|
| ECTS Credits |
6
|
| Workload |
PL(30H)/T(30H)
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| Scientific area |
Informatics
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|
Entry requirements |
None.
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|
Mode of delivery |
Face-to-face
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|
Learning outcomes |
This course unit presents algorithms and computational techniques currently used in Artificial Intelligence and encourages their application to problem solving.
At the end of this course students should be able to:
-LO1: Characterize Artificial Intelligence, its approaches, fundamentals and applications
-LO2: Develop computational agents using state-space search techniques, learning, adaptation and knowledge representation.
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|
Syllabus |
S1. Introduction.
S2. Problem solving.
S3. Knowledge representation.
S4. Uncertain knowledge and reasoning.
S5. Machine learning.
S6. Applications: perception, robotics e NLP.
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Main Bibliography |
Stuart Russell and Peter Norvig, Artificial Intelligence: A modern approach, 3rd edition, Prentice Hall, 2010.
PDFs of the theoretical classes.
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Language |
Portuguese. Tutorial support is available in English.
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