Available in 2013
|Callaghan Campus||Semester 2|
Previously offered in 2012, 2011, 2010
Mathematical modelling is key to bridging the gap between mathematics and solving real-world problems. Whether used to simulate the spread of an infectious disease or predict the trajectory of a falling satellite, mathematical modelling permeates disciplines across academia and industry. This course provides an overview of essential mathematical modelling techniques and their application to real-world problems, providing an introduction to the study of Applied Mathematics. As well as surveying general techniques, the subject will focus on a number of illustrative case studies covering topics across the spheres of the natural world and human endeavour, from environmental issues, to biology, ecology, medicine, engineering, business and commerce.
|Objectives||At the successful completion of this course, students will:
1. Appreciate how the application of mathematics can improve our understanding of the natural world and the world of human endeavour;
2. Have developed strategies and techniques for applying mathematics to solve real-world problems;
3. Have improved quantitative and analytical skills;
4. Be able to use appropriate mathematical and scientific terminology to justify their reasoning; and
5. Be able to develop and use computer software for mathematical modelling.
|Content||Topics will include:
a) Dynamical systems
b) Queuing systems
c) Decision-making problems
Both deterministic and stochastic settings will be considered.
2. Characterizing properties of models that make getting useful results easy or difficult; understanding relationships between model formulation and solution.
|Assumed Knowledge||The course has assumed knowledge of 2unit Mathematics in the HSC band 5 or higher. Students with a result of Band 4 or less in 2unit Mathematics in the HSC should do MATH1002 before attempting MATH1800.|
|Modes of Delivery||Internal Mode|
|Contact Hours||Lecture: for 2 hour(s) per Week for Full Term
Computer Lab: for 2 hour(s) per Week for Full Term
|Timetables||2013 Course Timetables for MATH1800|