|Fakulteit||Faculty of Economic and Management Sciences|
Stationary and non-stationary univariate time series. Properties of ARIMA processes. Identification, estimation and diagnostic testing of a time series models. Forecasting. Multivariate time series. Supervised learning: introduction to generalised linear models. Modelling of binary response variables, logistic regression. Supporting mathematical concepts. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework.
|Service modules||Faculty of Engineering, Built Environment and Information Technology
Faculty of Economic and Management Sciences
Faculty of Natural and Agricultural Sciences
|Prerequisites||STK 210, STK 220 or WST 211, WST 221|
|Contact time||1 practical per week, 3 lectures per week|
|Language of tuition||Module is presented in English|
|Period of presentation||Semester 2|
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