Profilo personale: Maria Rubega

AIM:
Students will gain the knowledge of linear algebra (basic) necessary for the efficient processing of data and time-series in the MATLAB environment. The acquired knowledge will allow students to develop simple computational models from experimental data.

CONTENT:
• Fundamentals of linear algebra: vectors, matrices and operations between them.
• MATLAB environment.
• Definition of variables: scalars (double and char), vectors, matrices and arrays, cells, structures.
• Operations on variables: arithmetic and logical operators, extraction of sub-arrays.
• Coding in MATLAB: scripts and functions
• Built-in functions. Examples.
• Visualization of variables: plots.
• The for and if environment.
• Debugging.
• Saving data: MAT-files.
• Examples in MATLAB.

Categoria A.A. 2024 - 2025 / Corsi di laurea magistrale / PS1932 - COGNITIVE NEUROSCIENCE AND CLINICAL NEUROPSYCHOLOGY

Students will gain the knowledge of linear algebra (basic) necessary for the efficient processing of neurophysiological (EEG) data and signals in the MATLAB. The acquired knowledge will allow students to develop simple computational models from experimental data.

Categoria A.A. 2021 - 2022 / Corsi di laurea magistrale / PS1932 - COGNITIVE NEUROSCIENCE AND CLINICAL NEUROPSYCHOLOGY (Ord. 2017)