Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024
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Description This module is intended to complement the formal, analytical mathematical theory presented in Engineering Mathematics I and II and focuses instead on practical problem-solving skills. This includes problem specification skills, problem solving skills, numerical skills as well as visualisation and verbal skills. The module will integrate 1st year students’ mathematical knowledge more comprehensively with the real world and other first year modules. A particular focus is on the practical use of computers: both as a visualisation and instructional aid for mathematics and also as a flexible tool for analysing and solving complex, unfamiliar problems. | |||||||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Divide a larger technical problem into a series of sub-problems, identifying the inter-relationship and dependencies between them. 2. Identify the appropriate mathematical techniques required to solve the constituent elements of a large engineering problem. 3. Identify and apply suitable approximations needed to reduce the complexity of a problem and render it suitable for analysis. 4. Formulate algorithms capable of implementing these techniques discretely on a computer and articulate these algorithms in the form of a flowchart. 5. Translate algorithms into appropriate basic computer code. 6. Design and implement tests to assess the accuracy and efficiency of the resultant computer – based solutions. 7. Understand information expressed visually and design and implement appropriate visualisation methods for any problems being examined. | |||||||||||||||||||||||||||||||||||||||||||||
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 |
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Indicative Content and Learning Activities
Visualisation:Plotting functions: Polynomials, exponentials, trigonometric, logarithmic, rational, piecewise. Plotting the functions, their derivatives and integrals and interpreting the relationship between the resultant curves. Taylor series approximations to functions – accuracy, dependence on expansion point, remainder term, linear approximation. Representing and manipulating complex numbers in computer code. Visualising the complex plane, Argand diagrams. Representing and manipulating vectors in computer code. Visualising vectors and vector operations, cross and dot products etc.Curve fittingChoosing and fitting curves to real-life data, i.e. a periodic curve to real-life tidal height data, exponential curve to real-life population growth data etc.VectorsBasic manipulation of vectors. Develop an algorithm to determine whether a point is inside or outside a polygon (application of cross product and dot product). Write code to determine the intersection between two line segments, or line segment and plane. Application of above to determine whether line of sight (LOS) exists between GPS satellite and receiver in presence of buildings, or whether LOS exists between sun and solar energy panel.Complex numbersVisualisation of complex plane, visualisation of mathematical operations involving complex numbers (e.g. Develop an algorithm to generate the Mandelbrot fractal).Matrix AlgebraExamples of large linear systems from engineering. Solution via Gaussian elimination.CalculusIdentification of maxima and minima. Maximum power transfer – Simulation of maximum power transfer theorem and comparison with analytical result (from EM113). Ballistics – Simulation of simple projectile motion and identification of maximum range, point of maximum height etc. Comparison with analytical result (from EM112). Generation of simple “angry birds” type game (in conjunction with root finding – see below).Introduction to numerical methodsForward backward and central difference, Euler integration, computation of sequences and series, root finding via Newton Raphson and bisection methods, Euler method for solution of ODEs. | |||||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||||||