Machine Learning for Accelerating Discoveries in Chemistry
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: Rocco Martinazzo
Students will gain an understanding of key machine learning methods and how these are applied to problems in chemistry, including materials discovery, drug design and synthesis planning. The course includes two high-profile visiting professors, one of whom (A.T.), a 'short-term visiting' professor, selected by the Chemistry Department for the academic year 25/26.
Undefined
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]
Professor(s)
Reception:
Chemistry Dep., building 5B, 3rd floor, room 3021
Reception:
Tuesday from 10:30 to 12:30
Room 2042, second floor of the Chemistry building (Corpo B)