All the aims of the course "Selected Topics in Machine Learning" (https://campus.aau.at/studium/course/113658).Plus, develop a deeper knowledge of the course content (by developing a project or analysing a scientific paper).

Classroom instructions mixed with practical exercises.

This class covers the same contents as "Selected Topics in Machine Learning (626.017)", plus further lectures on symbolic learning.The extra lectures aim to support the students in acquiring the appropriate knowledge to develop an advanced project or to analyse a scientific paper.The concepts needed (knowledge of logic programming, 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/analysis of scientific paper: 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.