Study information

Engineering Mathematics and Scientific Computing - 2020 entry

MODULE TITLEEngineering Mathematics and Scientific Computing CREDIT VALUE30
MODULE CODEENG1002 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS
Number of Students Taking Module (anticipated)
DESCRIPTION - summary of the module content

This module introduces modern engineering mathematics by teaching maths alongside programming.

What you learn in this module will support mathematical content in core modules throughout your programme. You will be introduced to core mathematical tools for modelling engineering systems which will be developed further in Year 2. You will learn about statistical methods of analysis that are vital tools for experimental engineers.

An elementary introduction to programming in python will be provided which will equip you with valuable data processing and modelling skills. The teaching of python will mirror mathematical content, building on knowledge of specialist packages for matrices, differential equations and statistics.

 

AIMS - intentions of the module

This module aims to provide you with all of the mathematical tools to tackle modern engineering problems. It will allow you to develop strong quantitative skills, such that mathematical tools become second nature so you can focus directly on engineering challenges and concepts. An important aspect of this is to provide a solid foundation in programming.

 

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
  Intended Learning Outcome Assessment
ILO #1 manipulate complex algebraic expressions (including boolean algebra), functions and vectors E1, C1
ILO #2 demonstrate knowledge of analytical and numerical differentiation and integration E1, C1
ILO #3 solve ordinary differential equations E1, C1
ILO #4 demonstrate foundational knowledge of statistical and probabilistic techniques required for engineering E1, C1
ILO #5 manipulate matrices, and use them to solve systems of equations and simple eigenvalue problems C1
ILO #6 demonstrate knowledge of the key principles of object orientated programme C1
ILO #7 structure, write and test computer programmes to solve engineering mathematical task C1
ILO #8 formulate engineering problems into mathematical statements C1
ILO #9 understand the application of new mathematical methods in the context of real engineering problems C1
ILO #10 demonstrate strong quantitative and problem solving skills E1, C1
ILO #11 demonstrate a strong foundation in scientific computing in python C1

 

SYLLABUS PLAN - summary of the structure and academic content of the module
0: Refresher Unit on Algebra 
1: Functions;
2: Vectors;
3: Differentiation;
4: Integration;
5: Ordinary Differential Equations;
6: Matrices;
7: Statistics and Probability for Engineers;
8: Transformations - Fourier & Laplace.

 

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 100 Guided Independent Study 200 Placement / Study Abroad 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description

Lecture

40

2 times 1 hours per week

Laboratory

20

1 hour per week, computational practical
Tutorials 20 1 hour per week

Other

40

Weekly drop in sessions

Independent study

200

Guided independent study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size Duration ILOs assessed Details

 Coursework

30

15

 All

2 Worksheets, 5 hours work each, online tests

 Exam

70

2

 1-4, 10

2 exams, one after each term

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
RE-ASSESSMENT NOTES

As the module is assessed by the examination and coursework, the ref/def assessment will be by examination. The candidates will be awarded the ref/def examination mark combined with the original coursework mark.

 

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener
K. A. Stroud Engineering Mathematics
G. James Modern Engineering Mathematics
 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
Set James, G Modern Engineering Mathematics 5th Pearson Education Limited. 2015
Set Stroud, K.A Engineering Mathematics 7th Palgrave Macmillan 2013 978-1-137-03120-4
CREDIT VALUE 30 ECTS VALUE
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 4 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Tuesday 14th May 2019 LAST REVISION DATE Monday 7th September 2020
KEY WORDS SEARCH None Defined

Please note that all modules are subject to change, please get in touch if you have any questions about this module.