Module: Engineering Mathematics I

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	Engineering Mathematics I
Module Code	EEG1007 (ITS: EM121)
Faculty	Engineering & Computing	School	Mechanical & Manufacturing Eng
NFQ level	8	Credit Rating	5

Description

The aims of the modules are - To introduce engineering students to the central role that mathematics plays in the development and practice of engineering. To motivate the comprehension and use of important analytical concepts, calculus methods and linear mathematics fundamental to engineering. To help students to begin to develop the skill of analysing problems in a rational (rigorous, logical) and methodical manner. To develop the students’ ability to transfer their mathematical understanding (and the associated methods) to diverse engineering application areas. To introduce students to mathematical computation, realisation and visualisation using Matlab. To help students towards self-diagnosis and self-help in filling gaps in their mathematical education.

Learning Outcomes

1. 1D87C66C-5A79-0001-35C0-1D1062209F50
2. Use vectors and associated coordinate systems appropriately in the representation and manipulation of measured quantities
5. 1
6. 1D87C66C-5D3A-0001-C427-49D074A81B3A
7. Manipulate algebraic expressions.
10. 2
11. 1D87C66C-655A-0001-DAF0-15D01720124A
12. Appropriately apply and manipulate real-valued functions commonly used in engineering applications
15. 3
16. 1D87C66C-67BE-0001-8226-113C752D12B9
17. Demonstrate a repertoire of problem-solving skills and an ability to generalise and transfer ideas, appropriate to simple engineering applications of mathematical concepts;
20. 4
21. 1D87C66C-6E47-0001-3018-56401680D600
22. Make effective use of a mathematical software tool such as Matlab in understanding, solving and visualising simple engineering mathematics problems;
25. 5
26. 1D87C66C-728F-0001-5458-11F0135037B0
27. Use references to appropriately acknowledge the work of others in any work that they submit for assessment
30. 6
31. 1D87C66C-7E6C-0001-B162-1FF01FC014EC
32. Demonstrate self-learning skills for the use of mathematical techniques in engineering contexts, with particular reference to (i) recognising and remedying gaps in their mathematical knowledge and (ii) developing strategies for life-long learning;
35. 7
36. 1D87C66C-82AC-0001-F31A-15D014804380
37. Use mathematical terminology and formulae to communicate effectively to other technically literate people
40. 8

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Lecture	36	Formal lectures
Laboratory	4	Matlab based practical assessment of numerical methods in mathematics
Tutorial	12	Practical exercises that apply theory learned in lectures
Online activity	40	Online homeworks due every two weeks with immediate feedback (via webworks)
Independent Study	33	No Description
Total Workload: 125

Section Breakdown
CRN	10190	Part of Term	Semester 1
Coursework	25%	Examination Weight	75%
Grade Scale	40PASS	Pass Both Elements	N
Resit Category	RC3	Best Mark	N
Module Co-ordinator	Bryan Mac Donald	Module Teacher	Conor Brennan

Type	Description	% of total	Assessment Date
Assessment Breakdown
Participation	Homework problems entered into Webworks	25%	Every Second Week
Formal Examination	MCQ Exam	75%	End-of-Semester

Reassessment Requirement Type
Resit arrangements are explained by the following categories; RC1: A resit is available for both^* components of the module. RC2: No resit is available for a 100% coursework module. RC3: No resit is available for the coursework component where there is a coursework and summative examination element. ^* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Review of algebraic techniques

Coordinate Systems

Vectors

Real valued function concepts

Compositions

Inverses

Standard functions

Polynomials

Rational functions

Trigonometric & exponential functions

Introduction to Calculus

Indicative Reading List

Books:

K.A. Stroud: 2020, Engineering Mathematics, 8th Edition, Red Globe Press, 1180, 978-135201027

Articles:
None

Other Resources

None