Friday, January 27th there will be the second midterm, in classroom Ω at 10am. Remember to enroll via SIFA.
The lecture of Tuesday, January 17th will be in room Γ at the usual time. It will be the second and last hands-on session.
Monday, December 19th there will be an extra lecture, in classroom 304 from 13:00 to 14:30.
Monday, December 5th there will be an extra lecture, in classroom 100 from 14:30 to 16:30.
Tuesday, December 13th there will be the first midterm, in classroom Ω at 9:30, remember to enroll through SIFA.
Tuesday, November 15th we will have the first hands-on session. It will be in classroom Ω.
Lessons will start on Tuesday, October 4th at 9:30am in the classroom at the 5th floor in Via Celoria 18. Lessons will always start at 9:30am.
Since January the office hours will be on appointment and on discord.
|Date and Time||Room|
|December 13, 2022 h9:30-11:30||Ω|
|January 27, 2023 h10:00-12:00||Ω|
Remember to enroll to the midterm through SIFA/UNIMIA.
|Date and Time||Room|
|February 1, 2023 h9:30-13:30||Ω/Σ|
|February 15, 2023 h9:30-13:30||Ω/Σ|
Note. to access both the midterm and the exam you have to be enrolled to them through the SIFA.
Note. the exam sessions will be defined time after time in agreement with the professor and not more than 5 a year.
The exam is written (at the computer). Each session proposes two exercises:
Each exercise can be substituted by a midterm exam. The midterms are two, 1 for every course's part, and if passed (with a grade of 9 or more) they hold for the whole academic year. The midterms are independent of each other, so if you fail one of them you can do the next one: the failed midterms can be caught up in the exam sessions. You are STRONGLY encouraged to follow and prepare the midterms.
The final mark corresponds to the sum of the marks each exercise. This when both exercises are passed.
Exercises to do in the hands-on lessons (room Ω). Note this basically helps in preparing the midterms/exams.
Note, the solutions to the exercises I did in the recorded hands-on sessions are available in a SVN repository accessible at:
The credentials to access the repository are the same you use to access the password protected content on this page.