| 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 |
| Programmes |
BCom
BCom Agribusiness Management BCom Economics BCom Informatics Information Systems BCom Investment Management BCom Law BCom Statistics BCom Statistics and Data Science BIT Information Systems BSc Information and Knowledge Systems BSocSci Philosophy, Politics and Economics BScAgric Agricultural Economics and Agribusiness Management |
| 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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