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Teacher
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MINUCCI Simone
(syllabus)
Python programming. (48 h)
Introduction to Matlab®: variables and costants, scalars, vectors, matrices, operations with matrices, programs and functions. (10 h)
Numerical methods for the solution of a set of algebraic linear equations and computer implementation. (4 h)
Numerical methods for the solution of a set of algebraic non-linear equations and computer implementation. (4 h)
Numerical methods for the solution of differential equations and a set of first-order differentiale equations and computer implementation: Forward Euler, Backward Euler, Crank-Nicholson Rule, Heun Rule, Runge-Kutta Rule. (4 h)
Introduction to Simulink®. (2 h)
(reference books)
1) M. Borgo, A. Soranzo, M. Grassi, Matlab for psycologists, Springer
2) B. Stevenson, The Python Workbook, Springer
3) J. Hunt, A beginners guide for python 3 programming, Springer
4) Lectures notes
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