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MEng Materials Science and Engineering with Nanomaterials / Course details
Year of entry: 2023
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Course unit details:
|Unit level||Level 1|
|Teaching period(s)||Semester 1|
|Offered by||Department of Mathematics|
|Available as a free choice unit?||No|
|Unit title||Unit code||Requirement type||Description|
To Introduce the mathematical tools for symbolic and numerical manipulation and analysis required to study materials science at an undergraduate level.
Knowledge and understanding:
- Solve straightforward problems involving, functions, elementary differentiation, integration and partial differentiation.
- Recognise how precision and uncertainty is represented.
Intellectual Skills :
- Show improved logical reasoning, problem solving and ability in applied mathematics.
- Calculate numerical answers to mathematical problems covered in lectures and tutorials.
- Carry out symbolic manipulations involving polynomials, exponentials, and logarithms. Integrate and differentiate functions that are common to materials science.
- Quantify the uncertainty of a value after mathematical manipulation.
- Express quantities using scientific and engineering notation, and interconvert between the two.
- Plot data graphically using histograms, scatter plots and line plots.
- Carry out ‘back of the envelope’/order-of-magnitude estimations mentally or on paper.
Transferable Skills and Personal Qualities:
- Apply the mathematical techniques covered in this unit to concurrent and subsequent materials science units.
- Convert between units.
- Work effectively in a group to solve problems.
This unit covers the topics in applied mathematics required to provide the necessary tools to study materials science at an undergraduate level.
The lectures cover:
- Elementary functions: linear functions, powers, polynomials, fractions, exponentials, logarithms,
- Basic differential calculus: differentials and derivatives, main properties, differentiation of elementary functions. Chain, Product and Quotient Rules. Differentiation of functions of many variables, partial derivatives (6).
- Integral calculus: definite and indefinite integrals, relation with differentiation, tables of integrals, methods of integration. Error function (6).
- Application of differential calculus to functions: Taylor formula, approximate calculations, maxima / minima (4).
The tutorials cover typical mathematical problems faced in materials science and revolve around students attempting work in advance.
Teaching and learning methods
Lectures, example classes, recommended textbooks, web resources, past exam papers, electronic supporting information (Blackboard), electronic assessment (STACK), peer-assisted study sessions (PASS)
Diagnostic Follow-up test 6%
Three online computerized tests 3% each
In-class test in week 10 15%
“Mathematical techniques: An introduction for the engineering, physical and mathematical sciences” D.W. Jordan and P. Smith, 1997, 2ed, Oxford University Press: Oxford.
“Engineering mathematics” K.A. Stroud and D.J. Booth, 2007, 6th ed, Palgrave Macmillan: Basingstoke.
“Calculus made easy” S.P. Thompson, 1914, 2ed, MacMillan and Co.: London. (Available free at http://www.gutenberg.org/ebooks/33283)
HELM (Helping Engineers Learn Mathematics), available at http://www.maths.manchester.ac.uk/study/undergraduate/information-for-current-students/service-teaching/helm/
|Scheduled activity hours|
|Independent study hours|
|Theodore Voronov||Unit coordinator|
This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact.
Please see Blackboard / course unit related emails for any further updates