Sistemas Inteligentes


Introducing the basis of optimization heuristics and machine learning

General characterization





Responsible teacher


Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English


Basis of computer programming is a necessary requirement to enroll this discipline.


Machine Learning. Tom Mitchell; Genetic programming: on the programming of computers by means of natural selection. J. Koza; 0; 0; 0

Teaching method

Classes are partitioned into theoetical classes and practical classes.
Theoretical classes will be held using the board and slides.
In the practical classes students will implement the algorithms presented in the theoretical classes. 

Evaluation method

In both the first and the second examination epochs, the final evaluation is given by a weighted average between exam and project

Subject matter

Optimization problems: definition of problem and instance of a problem
Search space, neighborhood structure and related concept
No free lunch theorem
Local search
Simulated annealing
Genetic algorithms
Genetic Programming
Pareto dominance
Multi objective optimization (NSGA II)
Machine Learning
Classification and clustering
Performance of a Classifier
Generalization and overfitting
Feature selection
Artificial Neural Networks


Programs where the course is taught: