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MATH6781 is a mathematics course offered at undergraduate 3rd year level, honours and postgraduate coursework level.

Units of credit:Ìý6

Prerequisites: For UNSW undergraduate students - 12 units of credit in Level 2 Mathematics courses including: MATH2120 or MATH2130, or MATH2121 or MATH2221, OR both MATH2019 and MATH2089, OR both MATH2069 and MATH2099

Postgraduate students - must be enrolled in a Master program. Permission from the Postgraduate Co-ordinator may be required to enrol in this course.

Cycle of offering: Term 2 

Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.

More information: The Course outline will be made available closer to the start of term - please visit this website: www.unsw.edu.au/course-outlines

Important additional information as of 2023

UNSW Plagiarism Policy

The University requires all students to be aware of its .

For courses convened by the School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.

If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.

Contact pg.mathsstats@unsw.edu.au for PG enquiries or ug.mathsstats@unsw.edu. for UG enquiries.

°Õ³ó±ðÌý contains up-to-date timetabling information.

If you are currently enrolled in MATH6781, you can log into  for this course.

This course gives an introduction to mathematical modelling and data analysis for biological and biomedical systems. Examples include: the formation of animal coat patterns, the spread of diseases through the community, the interaction between pathogens and the immune system of the body, the growth of tumours, nerve cell signalling, population dynamics, pharmacokinetics and bacterial growth. The emphasis in this course is on the development of the governing model equations and on computer simulations of the model equations rather than on mathematical methods for solving the model equation.

Introduction to mathematical modelling and data analysis for biological and biomedical systems. Examples include: the formation of animal coat patterns, the spread of diseases through the community, the interaction between pathogens and the immune system of the body, the growth of tumours, nerve cell signalling, population dynamics, pharmacokinetics and bacterial growth. The emphasis in this course is on the development of the governing model equations and on computer simulations of the model equations rather than on mathematical methods for solving the model equations.

Assumed Knowledge: Two years completed in an undergraduate degree in mathematics or statistics. Also available as an elective for Masters students in Mathematics and Statistics..