AN INTRODUCTION TO SCIENTIFIC MACHINE LEARNING

Ph.D. Programme in Civil and Environmental Engineering, International cooperation and Mathematics (DICACIM)
(A.Y. 2024/26)

  
   Moodle page

Programme

• An introduction to mathematical and numerical models to solve Partial Differential Equations.
• Foundations of supervised Machine Learning.
• Artificial Neural Networks: approximation and generalization error, optimization methods for training, backpropagation.
• Interaction between physics-based models and data-driven models.
• Surrogate modelling of high-fidelity digital models.
• Physics-informed learning.
• Operator Learning.

Course schedule

May 11, 2026 h: 9.00 - 11:00
May 13, 2026 h: 9.00 - 11:00
May 15, 2026 h: 9.00 - 11:00
May 18, 2026 h: 9.00 - 11:00
May 20, 2026 h: 9.00 - 11:00

The course will be delivered in person in the "Aula Seminari" of the "Sezione Matematica del DICATAM", ground floor of the red building of the Engineering Campus - UniBS.

Paola Gervasio   -   April 2026