# What have we updated?

We will update this page when we make significant changes to course information. This does not necessarily include minor corrections or formatting.

## 14 October 2022

Amended the IB Contextual Data Offer.

New:

The typical contextual offer is 37, including 7 in Higher Level Mathematics (‘Analysis and Approaches’ only) or 36, including 6 in Higher Level Mathematics (‘Analysis and Approaches’ only), plus 2 in any STEP/6 in TMUA/50 in MAT, or 36 overall including 7 in Higher Level Mathematics (‘Applications and Interpretations’ only), plus 2 in any STEP/6 in TMUA/50 in MAT.

Old:

The typical contextual offer is 37, including 7 in Higher Level Mathematics (‘Analysis and Approaches’ only) or 38 overall including 6 in Higher Level Mathematics (‘Analysis and Approaches’ only), plus 2 in any STEP/6 in TMUA/50 in MAT.

### August 2022

We have updated the class size information on the Teaching tab.

Previous content:

Class sizes vary from 15 students for selected optional modules up to 350 students for some core modules. Support classes usually consist of 15 students.

Revised content:

Class sizes vary from module to module. While selected optional modules may have smaller class sizes, some core modules may have over 300 students. Support classes for core modules usually consist of around 20 students.

We have also added the following module description to the Modules tab for Year Two:

###### Linear Statistical Modelling with R

This module runs in parallel with Mathematical Statistics and gives you hands-on experience in using some of the ideas you saw there. The centrepiece of this module is the notion of a linear model, which allows you to formulate a regression model to explain the relationship between predictor variables and response variables. You will discover key ideas of regression (such as residuals, diagnostics, sampling distributions, least squares estimators, analysis of variance, t-tests and F-tests) and you will analyse estimators for a variety of regression problems. This module has a strong practical component and you will use the software package R to analyse datasets, including exploratory data analysis, fitting and assessing linear models, and communicating your results. The module will prepare you for numerous final years modules, notably the Year Three module covering the (even more flexible) generalised linear models.