ACM10070 Mathematical Modelling in the Sciences

Academic Year 2018/2019

This module is an introduction to the mathematical modeling of phenomena in many branches of the physical and biological science. The models are formulated in terms of difference and differential equations and the students are introduced to the basic properties of these equations and certain analytical (i.e. "pen and paper") techniques for solving them.

[Mathematical background] Linear and non-linear ODEs, the order of a differential equation, separability of ODEs, homogeneity and inhomogeneity of ODEs, [Solution methods] substitution, separation of variables, integrating-factor technique, the exponential substitution for second-order linear homogeneous problems, the criterion for the existence and uniqueness of solutions, [Qualitative methods] Fixed points and bifurcations, [Modelling techniques] Dimensional analysis, the scientific method, “theory” versus “model”, [Applications] These include (but are not necessarily limited to) population models, fisheries models with harvesting, drug delivery, interest rates, epidemics, the fluid analogy of electrical circuits, RC and LRC circuits, [Discrete systems] discrete population dynamics, the Fibonacci sequence, properties of discrete maps (fixed points, orbits, stability), chaos in discrete maps, cellular automata

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students should be able to

1. Solve linear first-order ODEs using the integrating-factor technique;
2. Solve separable ODEs by integration;
3. Solve arbitrary ODEs given a trial solution;
4. Identify the fixed points and the stability properties of autonomous ODEs, carry out a simple bifurcation analysis of such ODEs;
5. Construct and solve simple continuous mathematical models. The models may involve cooling, radioactive decay, population dynamics, harvesting, predation, disease outbreaks, drug delivery, interest rates, laser operation, or electrical circuits;
6. Construct and solve simple discrete mathematical models;
7. Compute the fixed points and periodic orbits of discrete autonomous maps and find their stability.

Student Effort Type Hours
Lectures

36

Specified Learning Activities

24

Autonomous Student Learning

40

Total

100

Requirements, Exclusions and Recommendations

Not applicable to this module.



Module Requisites and Incompatibles
Incompatibles:
Intro Quantitative Economics (ECON10030), Intro Calculus for Engineers (MATH10250)

Equivalents:
Mathematical ModellingI (ACM10010), Mathematical ModellingI (MAPH10010)

 
Description % of Final Grade Timing
Examination: < Description >

70

2 hour End of Trimester Exam
Continuous Assessment: < Description >

30

Varies over the Trimester

Compensation

This module is not passable by compensation

Resit Opportunities

End of Semester Exam

Remediation

If you fail this module you may repeat, resit or substitute where permissible

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