2017/18 Undergraduate Module Catalogue
MECH1010 Computers in Engineering Analysis
20 creditsClass Size: 270
Module manager: Dr Peter Culmer
Email: P.R.Culmer@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2017/18
Module replaces
MECH 1220 Computers in Engineering AnalysisThis module is not approved as a discovery module
Objectives
On completion of this module, students should be able to:1. Appreciate the importance of computers and computational instruments to the development of engineering science in analytical and communication roles.
2. Understand the concepts of simple programming including logical structures, decision making, loops, subroutines and be able to develop simple programmes to solve engineering science problems.
3. Acquire, analyse and present a range of experimental data using graphical techniques.
4. Process data from a range of sources and display appropriate output.
5. Understand the practicalities of data acquisition.
6. Apply quantitative methods and computer software to solve engineering problems.
7. Ability to work with technical uncertainty.
Skills outcomes
Industry standard educational training in Labview.
Syllabus
Introduction to IT:
This will be delivered by the ISS during the first week of term and will cover such issues as MS Office, using email and accessing the internet.
Labview:
The students will learn how to use Labview to:
Interface their computer to measure/control real-world signals
Troubleshoot and Debug Programs (VIs)
Develop their own VIs
Understand Data and File I/O
Develop Modular Applications
Measure and control real-world equipment
Matlab:
Students should be able to use Matlab to:
1. Understand generic concepts of programming including: input and output / mathematical syntax / conditional statements / for and while loops / subroutines.
2. Use Matlab to display 2D and 3D plots.
3. Manipulate matrices/ vectors.
4. Develop simple engineering programs.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Lecture | 22 | 1.00 | 22.00 |
| Practical | 22 | 2.00 | 44.00 |
| Private study hours | 134.00 | ||
| Total Contact hours | 66.00 | ||
| Total hours (100hr per 10 credits) | 200.00 | ||
Private study
- Planning assignments 20 hours- Solving Assignments 60 hours
- Reading material for lecture preparation 20 hours
- Undertaking formative work 34 hours
Opportunities for Formative Feedback
The module is assessed through two substantial coursework assignments each associated with the computational environments to be learned:1. Matlab (data analysis and presentation)
Students will undertake formative assessments in which feedback will be given.
2. Labview (data acquisition).
Students will be given feedback on all summative assessments.
In addition, students will undertake formative assessments in which feedback will be given.
Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| In-course Assessment | Matlab Class Test | 10.00 |
| In-course Assessment | Matlab Group Assessment | 40.00 |
| In-course Assessment | Labview Group Assessment | 50.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Students wishing to re-sit this module will be required to prepare a portfolio of work over the summer which includes the development of computer programmes.
Reading list
The reading list is available from the Library websiteLast updated: 16/10/2017
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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