Course material, 2nd semester a.y. 2024/2025, Mathematical Sciences for AI (SMIA)
Lecturer: Prof. Emanuele RodolΓ
Assistants: Dr. Daniele Solombrino
When: Mondays 10:00β13:00 and Tuesdays 8:00β11:00
Where:
Aula Picone - Piano Terra, Dip. di Matematica Castelnuovo (CU006-E01PTEL008)
There is no virtual classroom, and the lectures will not be recorded.
Python fundamentals; calculus; linear algebra.
Due to the continuously evolving nature of the topic, there is no fixed textbook as a reference. Specific material in the form of slides, course notes, notebooks, scientific articles, and book chapters will be given throughout the lectures.
Exam dates
Evaluation proceeds according to the following steps:
There will also be a midterm self-evaluation test; it is optional, and does not concur to the final grade.
We may require an oral exam in doubtful cases or whenever necessary.
Exam is now project-only, but you can still find some past theoretical questions here
Date | Topic | Reading | Code & Data |
---|---|---|---|
Mon 3 Mar | π Introduction; Talking sense about data I | slides | Β |
Tue 4 Mar | π’ Talking sense about data II; Linear algebra revisited; Introduction to Python notebooks and NumPy | slides ; linear algebra recap ; matrix notes | Β |