Mathematics and Statistics are essential to the university curricula of many disciplines. The purpose of the Higher Education Academy STEM project was to investigate the mathematical and statistical requirements in a range of discipline areas including: Business and Management, Chemistry, Economics, Geography, Sociology and Psychology. Reports were commissioned from discipline experts to provide a strong evidence base to inform developments within the disciplines and dialogue between the higher education and pre-university sectors. This report by Jeremy Hodgen, Mary McAlinden and Anthony Tomei summarises the findings of these project reports and of similar work in other disciplines. It introduces some high-level contextual evidence from the pre-university sector, in particular data about trends in public examinations, and highlights important policy developments in pre-university Mathematics education. The report also includes high level recommendations regarding Mathematics and Statistics within the context of other disciplines, with a particular focus on the point of transition into higher education. (2014)

This is a high resolution electronic copy of the Chemistry Facts & Formulae Leaflet. It is designed to be printed on A3 as a double-sided folded leaflet. Print quality is printer dependant. An onscreen version is available in mathcentre.

The Mathematics Summer School was run for the first time in September 2001, lasting one week immediately prior to the start of term. Many students admitted to courses in the School of Science and Technology are perceived to have major weaknesses in the type of fundamental algebra that underpins much of their analytical work, both in mathematics units per se and in other units. This development represents one strand of additional support given to such students; the fledgling Mathematics Support Unit can give such support as the course progresses. This initiative is not funded in any direct way and depends on the availability of already heavily committed staff.

The Maths Arcade is an innovative activity involving playing and analysing strategy games which aims to simultaneously support struggling learners, stretch more confident learners and encourage the development of a staff-student mathematical community. This booklet contains details of the original Maths Arcade at Greenwich, including some discussion of the advantages of running an Arcade, and case studies from seven other Maths Arcades since established at Manchester, Salford, Sheffield Hallam, Leicester, Bath, Nottingham and Keele. This report was edited by Noel-Ann Bradshaw and Peter Rowlett. This report is not made available under a Creative Commons licence but is freely available to UK universities for non-commerical educational use.

The teacher interface for Maths EG which may be used for computer-aided assessment of maths, stats and numeracy from GCSE to undergraduate level 2. These resources have been made available under a Creative Common licence by Martin Greenhow and Abdulrahman Kamavi, Brunel University. Teachers need to register (top right of screen) and thereafter login to use the system, after which they may use it to compose their own tests by selecting (specifically or randomly) questions from the entire database of questions. Instructions are available from the title page.

A comprehensive collection of case studies, intended to assist you with the challenge of enhancing the basic mathematical skills of engineering or science students. These case studies focus particularly on mathematics support.

Matrices 1: This leaflet explains what is meant by a matrix, explains the notation used to describe matrices, and introduces some special types of matrix. There is an accompanying video tutorial.

Matrices 1: This video tutorial explains what is meant by a matrix, explains the notation used to describe matrices, and introduces some special types of matrix. There is an accompanying help leaflet.

Matrices 11: This video tutorial explains how to calculate the inverse of a 3x3 matrix. There is an accompanying help leaflet.

In this unit we show how differentiation can be used to find the maximum and minimum values of a function. Because the derivative provides information about the gradient or slope of the graph of a function we can use it to locate points on a graph where the gradient is zero. We shall see that such points are often associated with the largest or smallest values of the function, at least in their immediate locality. In many applications, a scientist, engineer, or economist for example, will be interested in such points for obvious reasons such as maximising power, or profit, or minimising losses or costs. (Mathtutor Video Tutorial) This resource is released under a Creative Commons license Attribution-Non-Commercial-No Derivative Works and the copyright is held by Skillbank Solutions Ltd.

FOR COPYRIGHT REASONS DIRECT ACCESS TO THIS PAPER MAY BE UNAVAILABLE. This research paper by CHETNA PATEL and JOHN LITTLE, Robert Gordon University, presents evidence that maths study support can increase maths related module pass rates and scores for undergraduate engineering students. The paper is published in Teaching Mathematics and its Applications (2006).

This report is published under the auspices of The Learning and Teaching Support Network (Maths, Stats & OR), The Institute of Mathematics and its Applications, The London Mathematical Society, and The Engineering Council. The findings and recommendations in this report emerged from a seminar at the Møller Centre Cambridge, 10-11 May 1999.