Università Roma Tre

Part one: computational tools
- introduction to the programming environment (Matlab)
- computer representation of real numbers
- considerations of numerical patterns and errors
- calculation of the zeros of a function
- approximation of functions and data
- numerical derivation
- numerical integration
- numerical resolution of ordinary differential equations

---- part two:
- algorithms and optimization models
- introduction to systems
- linear and nonlinear systems
- mathematical optimization models
- optimization algorithms
- introduction to machine learning
- theory and programming of artificial neural network training algorithms
- theory and programming of fully-connected artificial neural networks
- theory and programming of convolutional neural networks (CNN)
- theory and programming of generative neural networks (GAN)
- theory and programming of recurrent neural networks (RNNs)
- example of applications of machine learning to engineering

QUARTERONI ALFIO; SALERI FAUSTO - CALCOLO SCIENTIFICO. ESERCIZI E PROBLEMI RISOLTI CON MATLAB E OCTAVE - ED. SPRINGER VERLAG

Lecturer's handouts