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Education and Innovation in Embedded Systems Design

USI Università della Svizzera italiana, USI Faculty of Informatics, Advanced Learning and Research Institute USI Università della Svizzera italiana USI Faculty of Informatics USI Advanced Learning and Research Institute

Physical Modeling

Professor Danani Andrea
Pezzuto Simone
Favino Marco
Course program MSc
Year 1
Semester Fall
Category Fundamental
Academic year 2016/2017


The goal of the course is to provide the student a working knowledge in basic mathematical concepts and show how these tools are used in applied problems. It is divided in two main parts.
Part I is devoted to the study of ordinary differential equations (ODEs). Initially, the Cauchy problem and the study of its stability is introduced. Then, the main focus is on classical and modern discretisation methods for the simulation of ODEs and system of ODEs: one-step methods, multistep methods, Runge-Kutta, and spectral deferred correction methods.
In part II, after a brief recap about basic linear algebra concepts (vector spaces, scalar product, norm, orthogonal projection), the focus will be on the theory of transforms: Fourier series and integrals, Discrete and Fast Fourier Transform, Laplace, Zeta and Wavelet transforms.


Part I (Dr. Pezzuto and Dr. Favino)

Cauchy problem
Basic single step methods
Stability, consistency and convergence
Absolute stability
Multistep methods
Spectral deferred correction methods

Part II (Prof. Danani)

Linear Algebra
Signal theory
Fourier series and transforms
Laplace Transform
Zeta Transform


  • Class handouts (slides)
  • Arieh Iserles, A first course in The numerical Analysis of Differential Equations 
  • Ernst Hairer, Syvert Paul Nørsett, Gerhard Wanner, Solving Ordinary Differential Equations
  • P. Lancaster and K. Salkauskas, Transform Methods in Applied Mathematics: An Introduction, Wiley-Interscience, 1996.