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Aims, objectives and learning outcomes

Aims

  • To introduce students to the application of mathematical modeling in the analysis of biological systems comprising populations of molecules, cells and organisms.
  • To show how mathematics, statistics and computing can be used in an integrated way to analyse Mathematical biology.
  • To develop students' skills in algebraic manipulation, the calculus of elementary differential equations and statistical methods.
  • To introduce students to the use of mathematical and statistical computer packages for the analysis of biological processes.

Objectives

  • To provide lectures in mathematics and statistical methods that underpin the analysis of biological populations.
  • To motivate and develop mathematical and statistical methods in the context of biological problems drawn from ecology, biochemistry and physiology.
  • To provide practical classes in computing that enable students to use graphical methods to examine the behaviour of complex mathematical functions, to fit models to data and to test statistical differences between samples from biological populations.
  • To provide examples classes in mathematics to complement the lecture material to enable students to consolidate what they have covered in lectures and to gain confidence in mathematical skills appropriate to the lecture courses.
  • To examine students in the theory of Mathematical biology at the end of the course.

Learning outcomes

At the end of the course, students should:

  • have an enhanced knowledge and understanding of mathematical modeling and statistical methods in the analysis of biological systems;
  • be better able to assess biological inferences that rest on mathematical and statistical arguments;
  • be able to analyse data from experiments and draw sound conclusions about the underlying processes using their understanding of mathematics and statistics;
  • be aware of the use of computers to assist them in studying mathematical functions and carrying out statistical tests.