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• Undergraduate study:
• Courses
• Order a prospectus
• How to apply
• Information for applicants
• Why choose Kingston University
• Disability and mental health support
• Accommodation
• Undergraduate fees
• Fees, funding and payments
• Access, participation and inclusion

Electronic Systems, Control and Computing

• Module code: ME5012
• Year: 2018/9
• Level: 5
• Credits: 30
• Pre-requisites: None
• Co-requisites: None

Summary

This module builds deals with advanced electronic systems and concepts from classical control, including feedback control systems and analysis of their response and the effects of the feedback loop. The content of this module is informed by the research performed by the teaching team. In order to improve your employability, a range of engineering programming tools are used to model and analyse the performance of engineering systems, enabling learning of the functionality of control analysis and design software.

Aims

• To develop students' skills in use of complex methods to analyse electronic circuits.
• To develop students' understanding of the signal processing methods used in modern digital systems.
• To develop students' ability to design controllers for improved system performance.
• To equip students with skills to apply mathematical modelling techniques and high level computing languages in solving engineering problems.

Learning outcomes

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

1. Analyse a range of electronic systems including operational amplifiers based circuits and digital signal processing systems.
2. Design a modern digital system.
3. Construct models of engineering systems and design appropriate controllers and use formal methods to determine system performance (including step and frequency response analysis).
4. Employ computational methods in modelling and simulation of engineering control systems.
5. Design computing algorithms, implement and verify for accuracy and efficiency, using a high level computing language and use structural techniques that aid the understanding of given programming implementations.
6. Apply appropriate analytical techniques and methods to solve classical electronic and control problems.

Curriculum content

• Operational amplifiers, electronic filters.
• ADC and DAC converters.
• Boolean algebra and logic circuits.
• Mathematical models and computer simulation.
• Velocity feedback.
• PID controllers, step response, stability, Routh-Hurwitz.
• Flow control: loops and decisions, selection structures.
• Assignments and logical compares.
• Data types, functions and variables.
• Strings and arrays, multidimensional arrays.
• Standard I/O, file I/O.
• Complex numbers.
• 1st and 2nd order ODEs with applications.
• Partial differentiation and applications.

Teaching and learning strategy

Curriculum topics will be introduced by lectures and in some cases a flipped classroom approach will be adopted. The theoretical content will be presented via study packs and screencasts, these will be supported by on-line MCQs to allow students to check their learning. Students will be expected to work through this material and apply and discuss this content in the flipped classroom sessions. Lecture presentations, study packs, screencasts analytical tutorial materials (including solutions), lab briefs and programming tutorials will be made available within the Virtual Learning Environment for this module. The nature of the module encourages the use of technology to enhance the delivery and use will be made of online resources (see bibliography) as well as supporting software.

• Lectures are designed to introduce students to the advanced concepts in electronics and control engineering.
• Small group tutorials are used for problem solving, benefiting from the tutor's help and guidance and instant formative feedback. This learning feeds forward into programming sessions.
• Small group programming sessions are run by the tutors (with an appropriate staff-student ratio) offering instant formative feedback. They are designed to illustrate and then analyse a range of control concepts.
• Test and measurement laboratory exercises are run jointly by the tutors and the technicians (with an appropriate staff-student ratio), with students organised in small groups benefiting from peer support and instant formative feedback. The exercises are supported by on-line briefs providing an efficient on-line marking system.
• As part of their learning activities, students will be encouraged to consult the indicative course texts and on-line materials (a comprehensive table listed below), to supplement the information presented in lectures, tutorials and laboratory exercises.

Breakdown of Teaching and Learning Hours

Assessment strategy

Formative feedback is obtained by the students from both the tutors and their peers, whilst working in small groups on control and programming problems. This is followed by the summative feedback on the assignment report submitted.

• A portfolio of small MCQ tests (10 x 2.5marks) at the end of tutorials and flipped classroom sessions will be used for continuous assessment on the module encouraging attendance and engagement with the study material throughout the year. The results of these tests will also provide regular feedback on student progress, Small group tutorials are used for problem solving and familiarisation with the concepts to be employed in the laboratory exercises, providing formative feedback by the tutor and within their peer group.
• Test and measurement laboratory exercises provide both formative feedback during the session by the tutors and the instant summative feedback at the end of the session. This is achieved using the on-line laboratory briefs including some theoretical introduction, followed on by providing an efficient on-line marking system with instant summative feedback.
• The unseen closed book exam provides a feed forward to the level 6 module, ME6012.

Mapping of Learning Outcomes to Assessment Strategy (Indicative)

Elements of Assessment

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

K. Ogata, Modern Control Engineering, 4th Edition, Prentice Hall, 2001.

E. Hughes, J. Hiley, K. Brown, I. McKenzie-Smith, Electrical and Electronic Technology, 0/E, Prentice Hall, Pearson, 2008, ISBN-10: 0132060116

Morris, S, Visual Basic Made Simple, Elsevier; 2010, ISBN-13: 978-0750632454

Attaway, S, Matlab. A Practical Introduction to Programming and Problem Solving, Butterworth-Heinemann, 2009,ISBN 978-0-7506-8762-1

Bibliography recommended reading

Textbooks:

Singh, Kuldeep, 2011, Engineering Mathematics through Applications, Palgrave, ISBN: 978-0-230-27479-2

R. C. Dorf and R. H. Bishop, Modern Control Systems 11th Edition, Prentice Hall, 2007.

T. L. Floyd, Electronic Devices 8th Edition, Pearson Education, 2007.

G. Rizzoni, Principles and Applications of Electrical Engineering, McGraw-Hill, 2006.

W Bolton, Control Systems, Newnes,2002, ISBN 0 756 5461 9

Morris Mano & Charles Kime, Logic and Computer Design Fundamentals, 4/E, Pearson, 2008,ISBN-10: 013198926X,

A R. Hambley, 2008, Electrical Engineering: Principles and Applications, 4/E, Prentice Hall, Pearson, ISBN-10: 0131989227

A. V. Oppenheim, A. S. Willsky and S. Hamid , 1997, Signal and Systems 2nd Edition, PHI

Willis, T and Newsome, B , 2010, Beginning Visual Basic, Wiley, ISBN 13: 978-0470502228

McBride, P.K. , 2005, Introductory Visual Basic.NET, Thomson Learning, ISBN 184480190X

Sams, 2010, Teach Yourself Visual Basic2010in 24 Hrs, Sams, Pearson Education, ISBN 13: 978-0672331138

On-line control materials: (retrieved on 02/12/2012)

Animated Control Tutorials
I-Labs
WEBLab
iLab
iLough-Lab
ises
LILA
ReLOAD
MERLAB
lab share
RCLs
UTS remote labs
DSP RC Lab