Study information

Engineering Mathematics and Scientific Computing - 2024 entry

MODULE TITLEEngineering Mathematics and Scientific Computing CREDIT VALUE30
MODULE CODEENG1002 MODULE CONVENER George Humby (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 11
Number of Students Taking Module (anticipated) 200
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 21st century's 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 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 so that it could help you develop new ways of engineering thinking and cutting-edge solutions to ever-changing societal challenges.

 

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

Programmes that are accredited by the Engineering Council are required to meet Accreditation of Higher Education   

Programmes (AHEP4) Learning Outcomes.  

The following Engineering Council AHEP4 Learning Outcomes are covered on this module (shown in brackets): 

 
 

Discipline and Module Intended Learning Outcomes:   

On successful completion of this module, you should be able to:   

  

1 - Demonstrate foundational knowledge of linear algebra, calculus, differential equations, and statistics   

  

2 - Demonstrate knowledge of the key principles of object orientated programming  

  

3 - Formulate engineering problems into mathematical statements (B2, B3, C2, C3, M2, M3)  

  

4 - Structure write and test computer programs to solve engineering mathematical task (B3, C3, M3)  

  

5 - Demonstrate strong quantitative and problem-solving skills (B1, C1, M1)  

  

6 - Demonstrate a strong foundation in scientific computing using Python (B3, C3, M3) 

 

SYLLABUS PLAN - summary of the structure and academic content of the module
  • Refresher Unit on Algebra 
  • Functions;
  • Vectors;
  • Differentiation;
  • Integration;
  • Ordinary Differential Equations;
  • Matrices;
  • Statistics and Probability for Engineers;
  • Transformations - Fourier & Laplace.

 

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 120 Guided Independent Study 180 Placement / Study Abroad 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description

Lecture

48

2 times 1 hours per week

Laboratory

24

1 hour per week, computational practical
Tutorials 24  1 hour per week

Other

24

Weekly drop in sessions

Independent study

180

Guided independent study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Online quiz for each topic 10 x Quizzes - Verbal

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Coursework 30 2 Worksheets, 15-20 hours each 1-6 B1, B2, B3, C1, C2, C3, M1, M2, M3)  Written or Verbal on request
Exam 70 2 exams, one after each term, January exam 1 hour 30 minutes; May/August exam 2 hours E1-6 (B1, B2, B3, C1, C2, C3, M1, M2, M3)  Written
         

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
All above Exam (100% - 2 hours) All  Referral/Deferral Period

 

RE-ASSESSMENT NOTES

Reassessment will be by a single written exam only worth 100% of the module. For deferred candidates, the mark will be uncapped. For referred candidates, the mark will be capped at 40%.

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

Basic reading:

 

ELE:

 

Web based and Electronic Resources:

 

Other Resources:

Author

Title

Edition

Publisher

Year

ISBN

James, G

Modern Engineering Mathematics

5th

Pearson Education Limited.

2015

 

Stroud, K.A

Engineering Mathematics

7th

Palgrave Macmillan

2013

978-1-137-03120-4

 

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 15
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 Tuesday 12th November 2024
KEY WORDS SEARCH Engineering mathematics, computer programming, probability, statistics, Python

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