Bioinformatics

- Provide the student with the fundamental knowledge for the analysis of complex biological and medical data with Machine Learning methods.
- Introduce the student to the state-of-the-art computational methodologies to extract biological and medical knowledge from even massive collections of data or observations, even in presence of uncertain information, and to create predictive models for fundamental bio-medical applications.
- Provide the fundamental methodological tools to undertake scientific research according to international standards in the area of Bioinformatics and Computational Biology.

- Ability of applying the main Machine Learning methodologies for the analysis of bio-molecular data aimed at both knowledge extraction and the construction of predictive models in Molecular Biology and Personalized Medicine.
- Understanding of issues related to large-scale biological and medical data processing.
- Ability to apply and adapt Machine Learning models developed in different application areas in the context of Bioinformatics and Computational Biology
- Ability to think critically and to question design and implementation choices.
These abilities will be evaluated through the combination of a software project and an oral discussion on the topics of the course.