Module manager: Dr R Teed
Email: r.j.teed@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2013/14
MATH1050 or equivalent, plus a module in linear algebra is a pre-requisite or a co-requisite.
| LUBS1240 | Maths&Stats For Bus&Ec 1 |
| MATH1010 | Mathematics 1 |
| MATH1012 | Mathematics 2 |
This module is approved as an Elective
The applied mathematician attempts to give a mathematical description (a mathematical model) of things in the real world. In the real world most things change with time. Mathematically a rate of change is expressed as a derivative so the applied mathematician deals mostly with equations involving derivatives - so called differential equations. This module develops the theory of differential equations and applies it to produce mathematical models describing eg the way in which the population of the world varies with time, and the way in which an influenza virus propagates through a university campus.
To introduce the concept of mathematical modelling. To illustrate its application in various areas and to develop relevant methods for the solution of first and second order ODEs.
On completion of this module, students should be able to:
(a) set up simple first and second order differential equations to model processes such as radioactive decay, Newton cooling, population growth and mixing problems;
(b) solve first order differential equations of various types such as separable, homogenous, linear, and to apply initial conditions to the general solution;
(c) solve second order linear differential equations with constant coefficients by finding complementary functions and particular integrals, and to apply either initial or boundary conditions.
1. The modelling process via simple examples: exponential growth and decay etc.
2. Solution of first order ODEs: linear via integrating factor, nonlinear via substitutions.
3. Application of first order ODEs to modelling population growth, etc.
4. Solution of second order ODEs (linear with constant coefficients) and simultaneous ODEs. Reduction of order.
5. Application of second order ODEs to examples.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 22 | 1 | 22 |
| Tutorial | 10 | 1 | 10 |
| Private study hours | 68 | ||
| Total Contact hours | 32 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Studying and revising of course material.
Completing of assignments and assessments.
Regular example sheets and in-class quizzes.
!!! In order to pass the module, students must pass the examination. !!!
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| In-course Assessment | . | 20 |
| Total percentage (Assessment Coursework) | 20 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 2.0 Hrs 0 Mins | 80 |
| Total percentage (Assessment Exams) | 80 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 2/13/2014
Errors, omissions, failed links etc should be notified to the Catalogue Team