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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Engineering Mathematics III
Module Code EEG1009 (ITS: EM201)
Faculty Mechanical & Manufacturing Eng School Engineering & Computing
NFQ level 8 Credit Rating 5
Description

This module provides students with the mathematical techniques and skills (analytic and computational) to solve engineering problems involving multivariate calculus and second order ordinary differential equations with constant coefficients.

Learning Outcomes

1. differentiate and integrate standard functions of several variables
2. define and calculate selected quantities in vector calculus
3. formulate and solve engineering optimization problems
4. solve second order ordinary differentail equations with constant coefficients


WorkloadFull time hours per semester
TypeHoursDescription
Lecture36Class based instruction on theory, analytical solution and problem formulation using a computer algebra system (CAS).
Tutorial12Group discussion, analytic problem solving and solution verification using CAS.
Independent Study77Problem solving relating to tutorial material and weekly review of class materials in preparation for the final examination. Home work exercises may be assigned using a STEM online homework system.
Total Workload: 125
Section Breakdown
CRN10191Part of TermSemester 1
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC3Best MarkY
Module Co-ordinatorDonnacha LowneyModule TeacherBrian Corcoran, Harry Esmonde, Jeremiah Murphy
Section Breakdown
CRN12079Part of TermSemester 1
Coursework0%Examination Weight0%
Grade Scale50PASSPass Both ElementsY
Resit CategoryRC3Best MarkN
Module Co-ordinatorDonnacha LowneyModule Teacher
Assessment Breakdown
TypeDescription% of totalAssessment Date
In Class TestIndividual class test to solve problems.10%Week 4
In Class TestIndividual class test to solve problems10%Week 8
Formal ExaminationEnd of semester exam.80%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

Fundamentals
Vectors and matrix algebra.

Differential equations
First and second order with constant coefficients.

Partial differentiation
First, higher order and mixed partial derivatives; multi-variate Taylor series; stationary values; max/min problems; Hessian matrix; composite functions, chain rule and total derivative; material time derivative; change of independent variable; dependent and independent functions; Jacobian determinant.

Modelling data and approximating functions
Least squares; linearised models, optimisation using Lagrange multipliers; error analysis.

Coordinate systems
Cartesian; polar; spherical; transformations and Jacobian matrix.

Introduction to common partial differential equations (PDEs)
Wave, heat, Laplace and Schrodinger equations; configurations tractable to analytical solution.

Operators
Gradient of scalar field, divergence and curl of vector fields; directional derivative; Laplacian; irrotational and conservative vector fields.

Calculus of vector-valued functions
Arc-length; unit tangent and normal vectors; curvature; velocity.

Double and triple integrals: formalism
Line, area and volume integrals; applications to areas, moments and centre of mass

Vector calculus
Line, surface and volume integrals; Stokes, Greens and Divergence Theorems; applications: work, circulation and flux

Indicative Reading List

Books:
  • Croft, Davidson and Hargreaves: 0, Engineering Mathematics,
  • Anthony Croft,Tony Croft,Robert Davison,James Flint,Martin Hargreaves: 2017, Engineering Mathematics, Pearson Education, 978-1-2921-4665-2
  • Erwin Kreyszig: 2010, Advanced Engineering Mathematics, John Wiley & Sons, 267, 978-0-4704-5836-5
  • Seán Dineen: 2014, Multivariate Calculus and Geometry, Springer, 978-1-4471-6418-0
  • K. B. Vijaya Kumar,Antony P. Monteiro: 2023, Mathematica for Physicists and Engineers, John Wiley & Sons, 421, 978-3-5274-1424-6
  • Pragati Gautam,Swapnil Verma,Komal Negi: 2024, Getting Started with Maxima, Techsar Pvt Ltd, 451, 978-81-971909-1-9


Articles:
None
Other Resources

None

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