All the aims of the course "Selected Topics in Machine Learning" (https://campus.aau.at/studium/course/109727).Plus, being able to develop a project based on the concepts seen in the course (mainly using Inductive Logic Programming systems).

Classroom instructions mixed with practical exercises.

This class covers the same contents of "Selected Topics in Machine Learning (626.017)", plus further lectures on practical applications.The extra lectures aim to support the students in developing an advanced project.The concepts needed to develop the project (knowledge of Prolog, Inductive Logic Programming, etc.) will be taught in class.

Written exam (from "Selected Topics in Machine Learning"), plus project presentation.

For the written exam: all the theoretical concepts in "Selected Topics in Machine Learning".For the project: Inductive Logic Programming. Possible tools for implementation will be illustrated during the project lessons.

Correctness and comprehensiveness of the answers for the written exam. Correctness, performance and clarity of the project developed.