The course aims at giving useful tools for decision making both for public and private organisations in the environmental field. The class mainly emphasizes the applied aspects of data analysis methods. The first part of the class focuses on the main techniques for the analysis of time series, such as moving averages, exponential smoothing and autoregressive models. The second part is devoted to methods for the evaluation of environmental goods, with a focus on experimental choice.
Lezioni frontali tradizionali ed esercitazioni in laboratorio informatico con R. Discussioni di casi studio. Circa 1/3 delle lezioni (16 ore circa) si svolgeranno in laboratorio informatico.
Ricevimento: È possibile fissare il ricevimento con la docente contattandola via mail all'indirizzo marta.nairuscone@unige.it
