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2011/2 Provisional Module Catalogue - UNDER CONSTRUCTION & SUBJECT TO CHANGE
 Module Code: ENG2001 Module Title: MATHEMATICS 2A
Module Provider: Mechanical, Medical & Aero Engineering Short Name: SE0201
Level: HE2 Module Co-ordinator: ROCKLIFF NJ Dr (M, M & A Eng)
Number of credits: 10 Number of ECTS credits: 5
 
Assessment Pattern
Unit(s) of Assessment
2 hour written examination
Coursework    20%
Qualifying Condition(s) 
A mark of 40% is required to pass the module
 
Module Overview

Second level engineering mathematics module designed to support teaching in other engineering science modules, and concentrating on techniques for solving ordinary and partial differential equations, and some statistics.

Prerequisites/Co-requisites

Completion of the progress requirements of Level HE1 and Modules ENG1001 (or ENG1011) and ENG1002

Module Aims
To extend students' knowledge and understanding of previously encountered mathematical concepts and techniques, to enable them to solve more complex engineering problems.
Learning Outcomes
On the completion of this module the students should be able to
• use transform methods for the analysis of initial value problems,
• solve eigenvalue problems, decompose periodic signals into sinusoidal components and solve differential equations in several variables.
• Recognise appropriate probability distributions and use them to calculate probabilities and apply to e.g. simple ideas of quality control
• select appropriate mathematical methods for the analysis of engineering problems or data
Module Content
Laplace transforms (6 hours):
Definition and standard forms, operational properties, Heaviside unit and Dirac delta functions, shift theorems. Solution of ODE's with initial conditions.

Further matrix algebra (5 hours):
Eigenvalues and eigenvectors , applications to systems of linear differential equations and normal modes. 

Fourier series (4 hours):
Periodic and trigonometric series, Fourier series for functions of any period, odd and even functions, half range Fourier series.

Partial differential equations (4 hours):
Introduction to PDE's, separation of variables method using trial solution; outline of full method.

Probability distributions (3 hours)
Discrete probability distributions (binomial, Poisson); continuous probability distributions (normal). Application to e.g. quality control.
Linear regression
Methods of Teaching/Learning
22 hours of lectures, 11 hours of tutorial classes, and 67 hours independent learning.
Total student learning time 100 hours

The coursework will consist of 3 short in-tutorial tests with straightforward questions and will be marked and returned promptly for formative feedback as well as being partial summative assessment.

A booklet of sets of tutorial questions and final answers is issued at start of module. Worked solutions to tutorial questions are posted on ULearn some time after the relevant tutorial.
Last Updated
3 May 2011