The course is an introduction to deterministic optimization, the topics covered range from non-constrained optimization (the most basic one) to basic algorithms for integer programming, central topics like convexity and applications are also included. Mostly Python is used for solving the problems making used of several open source libraries, MATLAB was briefly mentioned but in my opinion Python is better for this field. The quality of the lectures is very good, and the peer review assessments allow students to have a sort of personalized feedback.
I think this was the first run of the course, so there is room for improvement in a few aspects. The communication between the staff and the students is very poor, we almost never got answer from them, a number of topics in the syllabus were not presented and the order of the topics was changed in some occasions, I was particularly disappointed during the last modules.