Machine Learning for Decision Support Systems in Oncology
A.Y. 2025/2026
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Marianna Agnese Masiero
"Provide the students with the ability to analyze, design, and evaluate machine learning systems for decision support.
Enable understanding of theoretical foundations and practical implementation of ML methods.
Promote critical thinking about model performance, interpretability, and real-world impact, especially in healthcare.
Enable students to translate research or application ideas into structured ML projects."
Enable understanding of theoretical foundations and practical implementation of ML methods.
Promote critical thinking about model performance, interpretability, and real-world impact, especially in healthcare.
Enable students to translate research or application ideas into structured ML projects."
Basic knowledge of statistics (mean, variance, distributions) and calculus (derivatives, linear algebra)
Mandatory for Phd students in Systems Medicine.
Maximum number of participants: 15
Mandatory for Phd students in Systems Medicine.
Maximum number of participants: 15
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]