Introduction to CasADi in Python: modeling, optimization, and applications

The seminar introduces the use of CasADi in Python for the modeling and optimization of dynamical systems.

Fundamental concepts of symbolic computing, automatic differentiation, nonlinear optimization (NLP) will be presented through practical examples.

The course will be held in both English and Italian.

Schedule

9:00 – 11:00 / 14:00 – 16:00

Speaker

Giacomo Corradini, PhD student of the Doctoral programme "Materials, Mechatronics and Systems Engineering", Department of Industrial Engineering of the University of Trento.

How to participate

Please check the registration deadlines for each seminar at the dedicated link.

You will receive the Zoom link by email in the days preceding each seminar.

Credits

To obtain 1 ECTS/CFU Type F credit (Other Activities), students are required to attend and pass the final assessment for 2 seminars.

Students who attended previous editions of the seminar series will receive credits only for seminars different from those previously attended.

Attendance at 4 seminars and successful completion of the related final assessments may allow students to obtain 2 ECTS/CFU credit.