Optimization Methods for Machine Learning Exams & Grading

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There are two projects.  Details not available yet

Electronic submission:

A project is worth full credit until midnight of the due date. submission of the project must be done throught a google form. Instructions for the submission  will be sent by email to the team's leader.

For late submission, the score will be decreased.  It is worth 85% for the next 48 hours. It is worth 70% from 48 to 120 hours after the due date. It is worth 50% credit after 120 hours delay. You must turn in all the projects in order to be admitted to the final term.


There are a midterm and a final term exam during the class.

In case a student has not been able to undergo the midterm exam, it is possible to attend the final exam on the full program (additional question are added). it is also possible to undergo a final exam on the full program on the first session exam (January- February)

Student can bring notes and the textbook (Open book exam). Electronic devices are not allowed.


  • Project (70% divided on the two projects: 1st project 35%, 2nd project 35%)
  • Midterm in the class (15 %)
  • Final term in the class (15 %)
  • Mid + final term after the class 30%

Grade 31 stands for 30 cum laude


The oral exam is optional. Student can ask for an oral to adjust the mark. Oral allows an increase or a decrease of at most 2 point over the grade obtained by averaging projects and mid/final term.


Students that cannot attend the course need to prepare a project (50%), multiple choice exam (20%) and to have an oral exam (30%) on the full  program. Discussion of the project, multiple choice and oral exams are only in the official dates.