Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Number of items: 8.


Ma, L. and Ferguson, John and Roper, M. and Wood, M. (2011) Investigating and improving the models of programming concepts held by novice programmers. Computer Science Education, 21 (1). pp. 57-80.


Ma, L. and Ferguson, J. D. and Roper, M. and Ross, I. and Wood, M.; Br├ęzillon, Patrick and Russell, Ingrid and Labat, Jean-Marc, eds. (2009) Improving the mental models held by novice programmers using cognitive conflict and jeliot visualisations. In: ITICSE 2009. ACM, New York, pp. 166-170. ISBN 978-1-60558-381-5


Ma, L. and Ferguson, J. D. and Roper, M. and Ross, I. and Wood, M.; White, Hazel, ed. (2008) A web-based learning model for improving programming students' mental models. In: Proceedings of the 9th annual conference of the subject centre for information and computer sciences. HE Academy, GBR, pp. 88-94. ISBN 9780955967603

Ma, L. and Ferguson, J. D. and Roper, M. and Ross, I. and Wood, M.; Dougherty, J. D. and Rodger, Susan and Fitzgerald, Sue and Guzdial, Mark, eds. (2008) Using cognitive conflict and visualisation to improve mental models held by novice programmers. In: Proceedings of the 39th ACM SIGCSE Technical Symposium on Computer Science Education. ACM, pp. 342-346. ISBN 978-1-59593-799-5


Ma, L. and Ferguson, J. and Roper, M. and Wood, M. (2007) Improving the viability of mental models held by novice programmers. In: Eleventh Workshop on Pedagogies and Tools for the Teaching and Learning of Object Oriented Concepts. ECOOP Workshops 2007, 2007-07-01. (Unpublished)

Ma, L. and Ferguson, J.D. and Roper, M. and Wood, M.; (2007) Investigating the viability of mental models held by novice programmers. In: ACM SIGCSE Bulletin. ACM Press, New York, USA, pp. 499-503. ISBN 1-59593-361-1


Elsweiler, D. and Ruthven, I. and Ma, L. (2006) Considering human memory in PIM. In: SIGIR 2006 Workshop on Personal Information Management, 2006-08-10 - 2006-08-11.


Ma, Linxiao and Ferguson, John D. and Roper, Marc and Wood, Murray and Wilson, John (2005) A collaborative approach to learning programming: a hybrid learning model. In: 6th Annual Higher Education Academy Subject Network for Information Computer Science conference, 2005-08-30 - 2005-09-01.

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