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Dr Peter Soan

School Head of Department


Following degrees in mathematics and astrophysics at the University of London I completed my PhD in computational mathematics at the then Kingston Polytechnic in 1991 while already a full-time lecturer in Mathematics.

Since then I have undertaken a variety of roles in academic management and development as well as teaching at both undergraduate and postgraduate levels in Kingston, and reviewed/examined at several other UK universities. I am currently the Head of the Department of Mathematics and course leader for the mathematics degree courses.

My main teaching interests are in computational mathematics and mathematical modelling. My current research interests are in statistical/mathematical modelling and in education (particularly developments in pedagogy in Higher Education on which I regularly present at conferences).

Areas of specialism

  • Mathematical and Statistical Modelling
  • Computational Mathematics
  • Mathematics Education

Courses taught



  • MSc (Applied Statistics), Sheffield Hallam University
  • PhD (Computational Mathematics), Kingston Polytechnic (CNAA)
  • MSc (Astrophysics), Queen Mary College, University of London
  • BSc (Hons) Mathematics, Imperial College of Science and Technology, University of London

Professional membership

Member of the Institute of Mathematics and its Applications

Chartered Mathematician 


My current research interests include statistical modelling - for example longitudinal (and repeated measures) analysis of studies in healthcare and education. I also have a very long-standing interest in the techniques and technology used in the Teaching of Mathematics. Investigations here include attempts to determine whether the introduction of Computer Algebra Systems in the curriculum has an overall positive effect on students understanding and ability to solve problems (even when the computer support is withdrawn). Currently we are investigating whether other simple technology (such as personal response or voting systems) can be employed effectively with technical subjects such as mathematics to enhance student engagement and consequently student learning.



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