The first part of the course (Data Mining) gives a good knowledge of the main techniques used in data preprocessing, data warehouse, frequent pattern mining, frequent sequential pattern mining, graph mining, classification, prediction, clustering and outlier detection. This knowledge will allow to manage different types of aspects concerning data mining problem and to identify the most suitable technique for solving it. The second part of the course (Intelligent Systems) provides knowledge about the basic concepts of nature-inspired computational techniques, such as artificial neural networks, fuzzy systems and genetic algorithms, and their application to a wide variety of application areas.