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EG3007: ENGINEERING ANALYSIS AND METHODS 1A (2020-2021)

Last modified: 09 Mar 2021 11:05


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 Aberdeen Sustained Study No
Co-ordinators
  • Dr Peter Daniel Hicks

Qualification Prerequisites

  • Either Programme Level 3 or Programme Level 4

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

  • Either Engineering (EG) (Studied) or BSc Mathematics & Engineering Mathematics
  • 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)
  • Any Undergraduate Programme (Studied)

What other courses must be taken with this course?

None.

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?

No

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.

Contact Teaching Time

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

Teaching Breakdown

  • 1 Computer Practical during University weeks 9, 11, 13, 15, 17
  • 1 Seminar during University weeks 8 - 18
  • 1 Tutorial during University weeks 9, 10, 11, 12, 13, 14, 15, 16, 17, 18

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Coursework (50%)

Coursework (20%)

Online open book exam (30%)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome

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