Module code | STK 310 |
Qualification | Undergraduate |
Faculty | Faculty of Economic and Management Sciences |
Module content | Supervised learning. Linear and non-linear regression. Ordinary least squares and maximum likelihood estimation. Violations of the assumptions, residual analysis. Cross validation. Statistical inference. Bootstrap inference. Supporting mathematical concepts. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework. |
Module credits | 25.00 |
NQF Level | 07 |
Programmes | |
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 1 |
Copyright © University of Pretoria 2024. All rights reserved.
Get Social With Us
Download the UP Mobile App