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Last modified: 25 May 2018 11:16

Course Overview

Modern engineering analysis relies on a wide range of analytical mathematical methods and computational techniques in order to solve a wide range of problems. The aim of this course is to equip students with the necessary skills to quantitatively investigate engineering problems. Examples applying the methods taught to practical situations from across the full range of engineering disciplines will feature heavily in the course.

Course Details

Study Type Undergraduate Level 3
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Dr Peter Hicks

Qualification Prerequisites

  • Either Programme Level 3 or Programme Level 4

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)
  • One of EG2001 Engineering Mathematics 2 (Passed) or EG2005 Engineering Mathematics 2 (Passed) or EG2010 Engineering Mathematics 2 (Passed) or EG2012 Engineering Mathematics 2 (Passed)
  • Either Engineering (EG) (Studied) or BSc Mathematics & Engineering Mathematics

What other courses must be taken with this course?


What courses cannot be taken with this course?

  • EG3002 Engineering Analysis and Methods 1a (Studied)
  • EG3006 Engineering Analysis and Methods 1a (Studied)

Are there a limited number of places available?


Course Description

The course is set in an environment of engineering applications. The course starts with an introduction to Laplace transforms. The concept of transfer function is explored and used to study the stability of systems having feedback. An introduction is given to Fourier Series and Fourier Transforms and their applications. Engineering applications of MATLAB are then discussed. The numerical solution of ordinary differential equations (ODEs) is discussed in the context of MATLAB. Practical work involving the MATLAB applications mentioned above is undertaken. The next section of the course is devoted to an introduction to partial differential equations (PDEs) is given. The use of MATLAB to obtain numerical solutions to Partial Differential Equations Toolbox is discussed.

Further Information & Notes

Available only to students following an Honours degree programme in Engineering.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

1st Attempt: 1 three-hour written examination paper (80%) and in-course assessment (20%). Resit: 1 three-hour examination paper. Mark awarded is the higher of (a) the resit examination paper (80%) and earlier continuous assessment (20%) OR (b) the resit examination paper alone (100%).

Formative Assessment

A class test in the form of a online series of multiple choice questions will be provided. After which they will be given marks and the correct answers and the correct reasoning.


The students will be given feedback in the tutorials concerning their ability to solve mathematics problems. The class test will also allow specific and generic feedback to be communicated automatically.

Course Learning Outcomes


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