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Technology Mathematics, Electronics and Computing

  • Module code: ME4112
  • Year: 2018/9
  • Level: 4
  • Credits: 30
  • Pre-requisites: None
  • Co-requisites: None

Summary

This is a core module for students studying BSc in Mechanical, Aerospace or Automotive related Engineering at level 4. Mathematics and computing are the backbone of modern technology and engineering and fundamental knowledge of electrical and electronic concepts is essential for modern design in all these engineering disciplines. They are all strongly connected through the use of analytical/numerical methods, logic and algorithms, modelling and visualisation. This module is primarily delivered through lectures, problem solving tutorials and laboratory work. The mathematics section of the module covers the fundamentals and application of algebra (including complex numbers and matrices), logarithms, trigonometry, calculus and vectors to typical engineering problems, including, but not exclusive to, mechanical, fluid dynamics, electrical and electronic systems. The computing section includes the application of MATLAB tools and other propriety software packages to illustrate the solution of engineering problems.

Aims

  • To equip students with the fundamental mathematical skills essential to support the application of core engineering principles in solving typical engineering problems.
  • To deliver the basic principles underlying electrical and electronic engineering.
  • To develop proficiency in the use of propriety software for solving engineering problems.

Learning outcomes

On successful completion of the module, students will be able to:

  • Apply arithmetic, algebraic and simple calculus skills and techniques in solving typical problems in an engineering context.
  • Solve engineering problems analytically and numerically using trigonometry, and calculus.
  • Apply simple principles, laws and theorems to the analysis of electrical and electronic circuits.
  • Describe characteristics of electrical systems, electronic devices, and electronic instruments and appreciate key concepts such as feedback and amplification.
  • Use propriety software, such as MATLAB, to solve simple engineering problems.

Curriculum content

  • Basic pre-calculus algebra
  • Functions including inverse functions, logarithms and exponentials
  • Trigonometry
  • Matrices
  • Calculus: differentiation, integration and differential equations including applications in engineering
  • Complex numbers
  • Numerical solution of linear equations and integrals including by use of propriety software
  • Fundamentals: potential, Ohms law etc
  • Analysis of simple linear circuits
  • AC theory, RCL circuits
  • Three phase principles, applications; motors
  • Electronic components, integrated circuits, PCBs
  • Electrical instruments - function and applications
  • Power supplies and amplifiers
  • Introduce and use appropriate software.

Teaching and learning strategy

The module is delivered through a variety of lectures and tutorials, projects, laboratory work and the use of appropriate software. Lecture material, tutorials and support material will be made available on Canvas. Lectures and tutorials are designed to introduce the students to the basic mathematics and analytical techniques within an engineering context alongside the fundamentals of electrical and electronic systems needed by all mechanical and automotive engineers. The practical application of these methods and skills, using the various software and application packages, embed the students' knowledge and refines their skills.

Breakdown of Teaching and Learning Hours

Definitive UNISTATS Category Indicative Description Hours
Scheduled learning and teaching Lectures Tutorial/seminar sessions Laboratory/computer sessions 46 40 40
Guided independent study Student independent study 174
Total (number of credits x 10) 300

Assessment strategy

Summative assessment is by a portfolio of laboratory work, in-class tests and an end of module examination. The in-class coursework comprises of a portfolio of up to six assessed electronics laboratory exercises (20%) and a portfolio of three in-class short answer and MCQ electronics, computing and mathematics tests (30%). The module will conclude with a two-hour electronics, and mathematics examination worth 50% of the module marks. Formative assessment will be provided through tutorial and practical work which will provide opportunities to feed forward so informing the summative assessments. Feedback on formative and summative assessment will take place regularly, within the lecture, tutorial and practical sessions.

Mapping of Learning Outcomes to Assessment Strategy (Indicative)

Learning Outcome Assessment Strategy
1) Apply arithmetic, algebraic and simple calculus skills and techniques in solving typical problems in an engineering context. Written examination. Portfolio of in-class tests.
2) Solve engineering problems analytically and numerically using trigonometry, matrices and calculus. Written examination. Portfolio of in-class tests.
3) Apply simple principles, laws and theorems to the analysis of electrical and electronic circuits. Written examination. Portfolio of in-class tests and portfolio of laboratory practical work.
4) Describe characteristics of electrical systems, electronic devices, and electronic instruments and appreciate key concepts such as feedback and amplification. Written examination. Portfolio of in-class tests and portfolio of laboratory practical work.
5) Use propriety software, such as MATLAB, to solve simple engineering problems. Portfolio of in-class tests.

Elements of Assessment

Description of Assessment Definitive UNISTATS Categories Percentage
Examination Written exam 50%
Portfolio of three electronics, computing and mathematics class tests Written exam 30%
Electronics practical portfolio Coursework 20%
Total (to equal 100%) 100%

Achieving a pass

It IS NOT a requirement that any element of assessment is passed separately in order to achieve an overall pass for the module.

Bibliography core texts

Singh, Kuldeep, 2011, Engineering Mathematics through Applications, Palgrave, ISBN-10: 0333922247, ISBN-13: 978-0333922248

Croft, C. and Davison R. 2008, (3rd Edition) Mathematics for Engineers. Pearson

Greenaway, R. (2010) Introduction to MATLAB. Palgrave Macmillan.

Bird, J.O. 2007, Electrical Circuit Theory and Technology, ISBN-13: 978-0750681391

Gasperi, M 2007, LabVIEW for LEGO MINDSTORMS NXT, ISBN-13: 978-1934891032

Bibliography recommended reading

Stroud, K.A., 2013, Engineering Mathematics, 7th Edition, Palgrave Macmillan, Print ISBN: 9781137031204, 1137031204, eText ISBN: 9781137031228

Bird, J.O. 2007, Electrical and Electronic Principles and Technology, ISBN-13: 978-0750685566

Hughes, E. Hiley, J. Brown, K. McKenzie-Smith, I. 2008, Electrical Technology, ISBN-13: 978-0132060110

Bird, J.O., 2010, Higher Engineering Mathematics, Newnes; 6 edition, ISBN-10: 185617767X, ISBN-13: 978-1856177672

McMahon, D. (2007) MATLAB Demystified. McGraw-Hill Professional

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