Module code | STK 220 |
Qualification | Undergraduate |
Faculty | Faculty of Economic and Management Sciences |
Module content | 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. |
Module credits | 20.00 |
NQF Level | 06 |
Programmes | |
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 |
Department | Statistics |
Period of presentation | Semester 2 |
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