| Code |
13939
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| Year |
3
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| Semester |
S1
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| ECTS Credits |
6
|
| Workload |
PL(30H)/T(30H)
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| Scientific area |
Informatics
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|
Entry requirements |
NA
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|
Learning outcomes |
The main goal of this CU is that the students acquire knowledge and competences in the area of artificial intelligence: they should master the models and language related to the majority of the topics listed in the syllabus.
They should be able to explain the key models and ideas in each of these areas and implement their main algorithms. They should also be able to solve problems using the methods from this CU
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|
Syllabus |
1. Introduction to AI
2. Problem solving using AI
3. Knowledge Representation
4. Knowledge Representation and Reasoning
5. Learning
6. Applications: perception, robotics and natural language processing.
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Main Bibliography |
The teacher’s classroom slides.
S. Russell, P. Norvig, Artificial Intelligence - A Modern Approach, 3rd Ed., 2009.
Simon O. Haykin, Neural Networks and Learning Machines (3rd Edition), 20
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Language |
Portuguese. Tutorial support is available in English.
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