|Module code||STK 220|
|Faculty||Faculty of Economic and Management Sciences|
Multivariate probability distributions. Sampling distributions and the central limit theorem. Frequentist and Bayesian inference. Statistical learning and decision theory. Simulation techniques enhancing statistical thinking. Supervised learning: linear regression, estimation and inference. Non-parametric modelling. Supporting mathematical concepts. Statistical algorithms. 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 Humanities
Faculty of Natural and Agricultural Sciences
|Prerequisites||STK 210 GS|
|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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