EG3007: ENGINEERING ANALYSIS AND METHODS 1A (2021-2022)

Last modified: 31 May 2022 13:05

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
Term	First Term	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?

Any Undergraduate Programme
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) or BSc Mathematics & Engineering Mathematics
EG2501 Design & Computing in Engineering Practice (Passed)

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?

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

More Information about Week Numbers

Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

First Attempt

1x Coursework (50%)
1x Open Book Exam (50%)

Alternative Resit Arrangements

Resit of only the failed assessment component(s)

Formative Assessment

Students will have access to tutorial-style problems within each section of course materials. Worked solutions will be available at the end of each section.

Course Learning Outcomes

Knowledge Level	Thinking Skill	Outcome
Factual	Remember	ILOs can be found in the school's course guide