Courses 2024-2025

CATALOGUE OF THE COURSES

(updated on November 12th, 2024)

Courses of the Doctoral Program:

  1. Proff. Luca Baracco, Olga Bernardi, The Minimal Action Principle and applications    click to enroll  
  2. Prof. Marco Di Summa, Convex polyhedra and Their Diameter    click to enroll  
  3. Prof. Giambattista Giacomin, Products of random matrices: theory and applications     click to enroll  
  4. Prof. Giulio G. Giusteri, Special Functions and Applications    click to enroll  
  5. Prof. Daniel Labardini Fragoso, Hyperbolic Geometry, Continued Fractions and Cluster Algebras   click to enroll  
  6. Prof.ssa Orsola Tommasi, Introduction to Moduli Spaces    click to enroll  

Courses of the "Mathematics" area:

  1. Dott. Gabriele Bogo, Curves in Hilbert Modular Surfaces    click to enroll  
  2. Dott. Paolo Bonicatto, Elio Marconi, Introduction to scalar conservation laws    click to enroll  
  3. Dott. Ludovico Bruni Bruno, Interpolation theory for differential forms    click to enroll  
  4. Dott. Mattia Fogagnolo, Prof.ssa Valentina Franceschi, The Isoperimetric Problem: Techniques and Applications    click to enroll  
  5. Prof. Martino Garonzi, The Maximal Subgroups of the Symmetric Group     click to enroll
  6. Prof. Andrea Spiro, Dott.ssa Marta Zoppello, Topics of Control Theory from a Differential Geometric point of view    click to enroll  
  7. Prof. Stefano Urbinati, Polyhedral structures in algebraic geometry    click to enroll  

Courses of the "Computational Mathematics" area:

  1. Prof. Bernardo D’Auria, Stability of Queueing Networks    click to enroll  
  2. Prof. Andrea Macrina, Mathematical Climate Finance    clicl to enroll
  3. Prof.ssa Yuliya Mishura, Bessel, Cox-Ingersoll-Ross, Ornstein-Uhlenbeck and Gaussian-Volterra processes
    with Wiener and fractional drivers        click to enroll
  4. Prof. Alvise Sommariva, Numerical cubature and its applications    click to enroll  

Soft Skills:

Course in collaboration with the Doctoral School in “Information Engineering” University of Padova -  https://phd.dei.unipd.it/course-catalogues/

  1. Prof. Gianluigi Pillonetto, Applied Functional Analysis and Machine Learning    click to enroll
  2. Prof. Gian Antonio Susto, Elements of Deep Learning    click to enroll