Module Details
Module Code: |
INTR8002 |
Title: |
LabVIEW App Development
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Long Title:
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LabVIEW App Development
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NFQ Level: |
Advanced |
Valid From: |
Semester 2 - 2019/20 ( January 2020 ) |
Field of Study: |
5213 - Interdisciplinary Engineering
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Module Description: |
As the devices we take for granted in our everyday lives become more complex, the demands on the systems manufacturing these products also increase. Such systems require advanced control algorithms, information gathering from sensors, such as cameras, scanners, etc. and may be geographically distributed.
In this module the student will learn to take advantage of the more advanced features of National Instruments LabVIEW to design stand-alone, distributed solutions for the problems posed by such industries.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Select and implement an appropriate communications approach for a given problem. |
LO2 |
Implement and verify complex mathematical algorithms for simulation and real-time use. |
LO3 |
Apply design patterns to implement real-world solutions. |
LO4 |
Interface with software-hardware systems, both locally and remotely, to store, manipulate and retrieve data. |
LO5 |
Develop solutions using LabVIEW's specialised toolboxes. |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
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No incompatible modules listed |
Co-requisite Modules
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No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
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No requirements listed |
Indicative Content |
Graphical Programming Concepts
Typecasting, property nodes, refnums, user-defined events, Functional Global Variables, synchronisation paradigms and file input/output.
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Mathematics
Formula node, MathScript node and MATLAB Script node.
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Specialist Toolboxes
PID and Fuzzy Logic Control Toolbox, Control and Simulation Toolbox and DSC (OPC) toolbox.
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Design Patterns
Functional Global Variables, Producer/Consumer, Queued Message Handler.
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Embedded Systems
Overview of real-time operating systems (RTOS) concepts and their implications for LabVIEW RT and FPGA.
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Networking
TCP, UDP, Publishing and controlling VIs over the WWW, NI_PSP.
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Web-based Services
Overview of web and cloud-based protocols and services, e.g. MQTT, AMQP, AWS, Azure.
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Module Content & Assessment
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Assessment Breakdown | % |
Coursework | 100.00% |
Assessments
No End of Module Formal Examination |
Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
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The University reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lab |
Contact |
Laboratory-delivered theory |
Every Week |
2.00 |
2 |
Lab |
Contact |
Laboratory-delivered practice |
Every Week |
2.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Review of course material and the development of solutions to practical exercises. |
Every Week |
3.00 |
3 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
4.00 |
Workload: Part Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lab |
Contact |
Laboratory-delivered theory and practice |
Every Week |
3.00 |
3 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Review of course material and the development of solutions to practical exercises. |
Every Week |
4.00 |
4 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
3.00 |
Module Resources
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Recommended Book Resources |
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Gerardus Blokdyk. (2019), LabVIEW A Complete Guide, 2020. 5STARCooks, [ISBN: 978-065591684].
| Supplementary Book Resources |
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Ian Fairweather (Editor), Anne Brumfield (Editor). (2012), LabVIEW: A Developer's Guide to Real World Integration, Chapman and Hall/CRC, [ISBN: 978-1439839812].
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Nasser Kehtarnavaz. (2008), Digital Signal Processing System Design: LabVIEW-Based Hybrid Programming, 2nd. Academic Press, [ISBN: 978-01237449].
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Pedro Ponce-Cruz. (2009), Intelligent Control Systems with LabVIEW, Springer, [ISBN: 978-18488268].
| This module does not have any article/paper resources |
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Other Resources |
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Website, LabVIEW home page,
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