Università Roma Tre

Matrix calculus and linear systems; matrix factorization (eigenvalues, eigenvectors); rigid rototranslations and associated matrix; least squares method and polynomial regression.
Complex numbers and trigonometric functions; phasors.
Introduction to signal analysis; definition of a linear time-invariant system; convolution theorem.
Vector calculus; representation in polar, spherical and curvilinear coordinates.
Wave propagation; standing waves.
Fourier series and transform; Nyquist–Shannon sampling theorem.
Introduction to Python programming and exercise on the topics covered in the theory lessons.

Lecture notes by the teacher

Author: Lin
An Introduction to Python Programming for Scientists and Engineers