Statistics 320

Module code STK 320
Qualification Undergraduate
Faculty Faculty of Economic and Management Sciences
Module content

Only one of the modules WST 321 or STK 320 may be included in any study programme. Stationary and non-stationary univariate time series. Properties of autoregressive moving average (ARMA) and autoregressive integrated moving average (ARIMA) processes. Identification, estimation and diagnostic testing of a time series model. Forecasting. Multivariate time series. Practical statistical modelling and analysis using statistical computer packages. Categorical data analysis.  Identification, use, evaluation and interpretation of statistical computer packages and statistical techniques. Student seminars.

Module credits 25.00
Service modules Faculty of Engineering, Built Environment and Information Technology
Faculty of Humanities
Faculty of Natural and Agricultural Sciences
Prerequisites STK 210, STK 220.
Contact time 1 practical per week, 3 lectures per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 2

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