Application of Mathematics - MA344

Location Term Level Credits (ECTS) Current Convenor 2017-18 2018-19
Canterbury Spring
View Timetable
4 15 (7.5) DR P Xenitidis


Pre-requisite: MAST4006 (Mathematical Methods 1)





This module introduces mathematical modelling and Newtonian mechanics. Tutorials and Maple worksheets will be used to support taught material.

The modelling cycle: General description with examples; Newton's law of cooling; population growth (Malthusian and logistic models); simple reaction kinetics (unimolecular and bimolecular reactions); dimensional consistency

Motion of a body: frames of reference; a particle's position vector and its time derivatives (velocity and acceleration) in Cartesian coordinates; mass, momentum and centre of mass; Newton's laws of motion; linear springs; gravitational acceleration and the pendulum; projectile motion

Orbital motion: Newton's law of gravitation; position, velocity and acceleration in plane polar coordinates; planetary motion and Kepler's laws.


This module appears in:

Contact hours


Method of assessment

80% examination and 20% coursework.

Preliminary reading

C. D. Collinson and T. Roper, Particle Mechanics, Butterworth-Heinemann, 1995
J. Berry and K. Houston, Mathematical Modelling, Butterworth-Heinemann, 1995

See the library reading list for this module (Canterbury)

See the library reading list for this module (Medway)

Learning outcomes

On successfully completing the module students will be able to:
1 demonstrate knowledge of the underlying concepts and principles associated with simple ODE-based mathematical models;
2 demonstrate the capability to make sound judgements in accordance with the basic theories and concepts in the following areas, whilst demonstrating a reasonable level of skill in calculation and manipulation of the material: the modelling cycle, simple models of growth and decay processes, basic Newtonian mechanics, orbital motion;
3 apply the underlying concepts and principles associated with mathematical modelling in several well-defined contexts, showing an ability to evaluate the appropriateness of different approaches to solving problems in this area;
4 make appropriate use of Maple.

The intended generic learning outcomes.
On successfully completing the module students will be able to demonstrate an increased ability to:
1 manage their own learning and make use of appropriate resources;
2 understand logical arguments, identifying the assumptions made and the conclusions drawn;
3 communicate straightforward arguments and conclusions reasonably accurately and clearly;
4 manage their time and use their organisational skills to plan and implement efficient and effective modes of working;
5 solve problems relating to qualitative and quantitative information;
6 make use of information technology skills such as online resources (Moodle) and Maple;
7 communicate technical and non-technical material competently;
8 demonstrate an increased level of skill in numeracy and computation.

University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.