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Dear sigma Colleagues

Dr Morgiane Richard, Aberdeen University has contributed four new Fact & Formulae leaflets covering differentiation, integration and exponential and logarithmic functions for Business studies and Economics students to the mathcentre Community Project.  The Leaflets have been reviewed by Anthony Cronin, University College Dublin and Shazia Ahmed, University of Glasgow.

The leaflets are:

Exponential and Logarithm for Economics and Business Studies - an overview of the properties of the functions e and ln and their applications in Economics
(http://www.mathcentre.ac.uk/resources/uploaded/mccp-richard-4.pdf)


Differentiation for Economics and Business Studies Functions of One Variable - an overview of differentiation and its applications in Economics
(http://www.mathcentre.ac.uk/resources/uploaded/mccp-richard-5.pdf)


Differentiation for Economics and Business Studies Functions of Multi-Variable Functions - an overview of the rules of partial differentiation and methods of optimization of functions in Economics and Business Studies.
(http://www.mathcentre.ac.uk/resources/uploaded/mccp-richard-6.pdf)


Resource type Integration for Economics and Business Studies -  an overview of the rules of integration and their applications in Economics and Business Studies.
http://www.mathcentre.ac.uk/resources/uploaded/mccp-richard-7.pdf


Both the pdf leaflets and LaTeX source file with images and metadata are available under a creative commons licence.  We would like to thank Morgiane for these additions to mathcentre.

If you have developed any resources that you would like to contribute to mathcentre or statstutor for the benefit of the mathematics and statistics support communities, please get in touch.

Kind regards


Janette




Dr Janette Matthews 
Project Officer (mathcentre and sigma Network)
Mathematics Education Centre  (JJ.07)
Loughborough University 
Leicestershire 
LE11 3TU
 
t: (01509) 223 026
f: (01509) 228 211
 
@sigmahubs, @matthews_jb
 
The sigma Network (www.sigma-network.ac.uk) provides support and resources for academics and practitioners working with higher education students in their learning of mathematics and statistics.  
 
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