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Inteligência Computacional

Código 12878
Ano 1
Semestre S1
Créditos ECTS 6
Carga Horária PL(30H)/T(30H)
Área Científica Informática
Learning outcomes The main goal of this CU is that the students acquire knowledge and competencies in the area of computational intelligence: they should master the models and language related to neural networks, evolutionary computation,swarm intelligence and fuzzy systems. 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.
Syllabus 1-Neural networks
1.1-The artificial neuron
1.2-Supervised learning
1.3-Practical issues regarding supervised learning

2-Evolutionary computation
2.1-Genetic algorithms
2.2-Genetic programming
2.3-Evolutionary strategies
2.4-Coevolution

3-Swarm intelligence
3.1-Particle swarm optimization
3.2-Ant colony optimization

4-Fuzzy systems
4.1-Fuzzy systems
4.2-Fuzzy inference
4.3-Fuzzy control
Teaching Methodologies and Assessment Criteria
Assessment is conducted through two midterms and a practical assignment.
Midterm dates:
- Midterm 1: 2025-10-27, in class T.
- Midterm 2: 2025-12-16, 6:00 PM.
The practical assignment:
- Is mandatory and worth 6 points;
- Completed in groups of two students, but grades are individual;
- Due on 2025-12-11 and presented the following week;
- Your statement will be submitted the week of the first midterm.
The remaining 14 points are obtained from the average of the midterms or the exam.
Any type of cheating will result in failure (not admission) in this course.
Main Bibliography -Os PDFs das aulas teóricas elaborados pelo docente / The PDFs presented on the theoretical classes.
-James M. Keller, Derong Liu, David B. Fogel, Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation, 2016-
-Andries P. Engelbrecht, Computational Intelligence, An Introduction, John Wiley & Sons, 2007.
-J. Kennedy, R.C. Eberhart, Y. Shi, Swarm Intelligence, Morgan Kaufmann Publishers, 2001.
-Aboul Ella Hassanien, Eid Emary, Swarm Intelligence: Principles, Advances, and Applications, 2015
-Simon O. Haykin, Neural Networks and Learning Machines (3rd Edition), 2008
Language Portuguese. Tutorial support is available in English.
Data da última atualização: 2025-09-16
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