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A time series is a collection of observations of well-defined data items obtained through repeated measurements at consistent intervals over a set period of time (daily, monthly, yearly, etc.). Such data arise in just about every area of science and the humanities, including econometrics and finance, engineering, medicine, genetics, sociology, environmental science. This course provides an introduction to time series analysis techniques and methods. Topics covered are: descriptive methods and plots, smoothing, differencing; the autocorrelation trend analysis, seasonal variation, stationary and non-stationary time series models, forecasting and regression analysis of time series data.
Faciliter l’immersion dans la vie étudiante et sa transition en adulte responsable. Il permet de développer la sensibilisation des étudiants aux principes éthiques ; il permet aussi de les initier aux règles qui régissent la vie à l’université et dans le monde du travail, de sensibiliser au respect et à la valorisation de la propriété intellectuelle et leur expliquer les risques des maux moraux telle que la corruption et à la manière de les combattre.
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