ENE1006 - Mathematics for Energy Systems (2023)

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MODULE TITLEMathematics for Energy Systems CREDIT VALUE15
MODULE CODEENE1006 MODULE CONVENERDr Mark Callaway (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 0 0
Number of Students Taking Module (anticipated) 27
DESCRIPTION - summary of the module content

Mathematics is at the heart of all Science and Engineering subjects. This module covers topics that are fundamental to engineers in their professional careers.

In particular, there is a strong emphasis on the direct application of mathematics to engineering problems.

 

AIMS - intentions of the module
This module will consolidate and improve your mathematical skills to the extent necessary for you to engage in a BEng or MEng engineering degree programme, also these skills will be useful in your future career. You will develop a knowledge and understanding of mathematical principles necessary to underpin your education in engineering-related areas and enable you to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems.
This module covers Specific Learning Outcomes in Engineering, which apply to accredited programmes at Bachelors/MEng/Masters level. These contribute to the educational requirements for CEng registration (as defined under the UK Standard for Professional Engineering Competence – UK-SPEC).
This module correlates to references U2, E1, E2, E3 and E4. These references are indices of the specific learning outcomes expected of Bachelors/MEng/Masters candidates set out in UK-SPEC, codified with reference to systems used by professional accrediting institutions. A full list of the standards can be found on the Engineering Council's website, at http://www.engc.org.uk
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

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

Module Specific Skills and Knowledge

  1. demonstrate an understanding of the concepts of, and work with, functions in one, two or three variables, complex number and analytic functions, vector algebra involving lines and planes including the scalar (dot) and vector (cross) product, matrices including eigenvalues and eigenvectors of a matrix, differentiation and integration and first and second order ordinary differential equations (applying them to simple problems in mechanics, electrical circuit theory and evolution problems), essential statistics and probability;

Discipline Specific Skills and Knowledge

  1. formulate questions in mathematical terms and hence solve problems encountered in engineering-related areas
  2. take data from a range of sources and undertake simple modelling tasks

Personal and Key Transferable / Employment Skills and Knowledge

  1. apply mathematical principles to systematically analyse problems;
  2. communicate mathematical concepts and processes coherently, both orally and in writing, using correct notation.
  3. demonstrate familiarity with all essential IT systems to support personal study and communicate your ideas including a text processor and a spreadsheet package.
SYLLABUS PLAN - summary of the structure and academic content of the module

- Algebra and functions;

- Complex numbers and complex variables;

- Vector algebra;

- Matrices;

- Differential calculus and applications;

- Integral calculus;

- First and second order ordinary differential equations;

- Partial differentiation;

- Statistics;

- Probability

- MATLAB

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 54.00 Guided Independent Study 90.00 Placement / Study Abroad 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 44 Lectures, tutorials and IT workshops
Scheduled learning and teaching activities 10 ELE-based online quizzes (formative and summative)
Guided independent study 96
Lecture and assessment preparation, private 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
Weekly tutorial sheets 2-3 hours each 1-4 Model answers/ informal feedback during tutorials

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 40 Written Exams 60 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
4 ELE quizzes 4x10% 1-2 hours each 1-4

ELE-based quiz feedback and oral feedback during tutorials

Written exam (closed book) 60% 2 hours 1-4 Annotated scripts

 

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
1 x Coursework 40% E-Quiz All August ref/def period
Exam 60% Written Exam (2 hours) All August ref/def period

 

RE-ASSESSMENT NOTES

1 x Coursework 40% and Exam 60%. 

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: http://vle.exeter.ac.uk  

 

Web based and Electronic Resources:

Croft, A. & Davison, R. Foundation Maths Website                     

HELM

MathAid

 

Other Resources:

MathCentre: www.mathcentre.ac.uk

 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Rees, D.G Foundation of Statistics Chapman and Hall 1987 9780412285608 [Library]
Set Stroud, K.A Engineering Mathematics 7th Palgrave Macmillan 2013 978-1-137-03120-4 [Library]
Set Croft, A. & Davison, R. Foundation Maths 5th Pearson 2010 9780273729402 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 4 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Thursday 06 July 2017 LAST REVISION DATE Monday 27 February 2023
KEY WORDS SEARCH Differentiation; integration; calculus; complex number; matrices; vectors