| Title: | System Modelling & Simulation |
|---|
| Long Title: | System Modelling & Simulation |
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| Valid From: |
Semester 1 - 2019/20 ( September 2019 ) |
| Next Review Date: |
September 2023 |
| Module Coordinator: |
Donagh OMahony |
| Module Author: |
JOSH REYNOLDS |
| Module Description: |
This module looks in detail at the process of system design, modelling, testing, verification and validation. Advanced features of software such as MATLAB and Simulink will be employed for modelling and simulation. Case studies will include pollutant dispersion models, energy models and the modelling/simulation/verification and validation of an industrial control system. |
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| LO1 |
Describe the basic characteristics of systems and distinguish between modelling methods suitable for discrete and continuous systems. |
| LO2 |
Design scripts and functions using software and toolboxes such as MATLAB to simulate processes within a chosen model. |
| LO3 |
Model a system / process using software such as the MATLAB Simulink design package |
| LO4 |
Use software such as MATLAB Simulink tools for model verification and validation |
| Pre-requisite learning |
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 CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s). |
| 13460 |
PHYS8003 |
Instrument System Design |
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. |
| None |
Co-requisite Modules
|
| 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.
|
| None |
Module Content & Assessment
| Indicative Content |
|
Systems
System’s abstraction and modelling, input-output system descriptions, system response, analysis of system behaviour. Classification of system types: Continuous and Discrete systems. Real-world system examples.
|
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System Modeling and Simulation
Mathematical models of system elements. Mathematical models of systems. Advanced applications of software such as MATLAB Simulink
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Verification, Validation and Testing
Dynamic testing, static analysis. Test strategies, designing for testability. Development tools. Environmental simulation. Independent verification and validation.
|
| Assessment Breakdown | % |
|---|
| Course Work | 100.00% |
| Course Work |
|---|
| Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
| Performance Evaluation |
Laboratory exercises using simulation software such as MATLAB and Simulink packages to model and simulate systems |
1,2,3 |
30.0 |
Every Second Week |
| Practical/Skills Evaluation |
Laboratory examination involving the use of simulation software such as MATLAB and Simulink to model and simulate a system |
1,2,3 |
30.0 |
Week 10 |
| Project |
Team-based project to design, simulate, verify and validate a complete system |
2,3,4 |
40.0 |
Week 13 |
| No End of Module Formal Examination |
| Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
|
The institute reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecturer-Supervised Learning (Contact) |
Laboratory-based theory and practice of Modelling and Simulation |
4.0 |
Every Week |
4.00 |
| Independent & Directed Learning (Non-contact) |
Independent study of course material |
3.0 |
Every Week |
3.00 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
4.00 |
| Workload: Part Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lab |
Laboratory-based theory and practice of Modelling and Simulation |
3.0 |
Every Week |
3.00 |
| Directed Learning |
Assignments and case studies |
1.0 |
Every Week |
1.00 |
| Independent & Directed Learning (Non-contact) |
Independent study of course material |
3.0 |
Every Week |
3.00 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
Module Resources
| Recommended Book Resources |
|---|
- Brian Hahn, Daniel Valentine, 2013, Essential MATLAB for Engineers and Scientists, 5th Ed., Academic Press [ISBN: 9780123943989]
- Holly Moore 2017, Matlab for Engineers, 5th Ed., Pearsons [ISBN: 9780134589640]
- Luca Zamboni 2013, Getting Started with Simulink, 1st Ed., Packt Publishing [ISBN: 9781782171393]
| | This module does not have any article/paper resources |
|---|
| Other Resources |
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- website: Matlab programming primers
- Website: Mathworks:SIMULINK, Simulation and
Model-Based Design
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Module Delivered in
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