Module Details

Module Code: PHYS8007
Title: System Modelling & Simulation
Long Title: System Modelling & Simulation
NFQ Level: Advanced
Valid From: Semester 1 - 2019/20 ( September 2019 )
Duration: 1 Semester
Credits: 5
Field of Study: 4411 - Physics
Module Delivered in: 2 programme(s)
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:
# Learning Outcome Description
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
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).
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
 
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.
System Modeling and Simulation
Mathematical models of system elements. Mathematical models of systems. Advanced applications of software such as MATLAB Simulink
Verification, Validation and Testing
Dynamic testing, static analysis. Test strategies, designing for testability. Development tools. Environmental simulation. Independent verification and validation.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Performance Evaluation % of Total Mark 30
Timing Every Second Week Learning Outcomes 1,2,3
Assessment Description
Laboratory exercises using simulation software such as MATLAB and Simulink packages to model and simulate systems
Assessment Type Practical/Skills Evaluation % of Total Mark 30
Timing Week 10 Learning Outcomes 1,2,3
Assessment Description
Laboratory examination involving the use of simulation software such as MATLAB and Simulink to model and simulate a system
Assessment Type Project % of Total Mark 40
Timing Week 13 Learning Outcomes 2,3,4
Assessment Description
Team-based project to design, simulate, verify and validate a complete system
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 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
Lecturer-Supervised Learning (Contact) Contact Laboratory-based theory and practice of Modelling and Simulation Every Week 4.00 4
Independent & Directed Learning (Non-contact) Non Contact Independent study of course material 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-based theory and practice of Modelling and Simulation Every Week 3.00 3
Directed Learning Non Contact Assignments and case studies Every Week 1.00 1
Independent & Directed Learning (Non-contact) Non Contact Independent study of course material Every Week 3.00 3
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. Academic Press, [ISBN: 9780123943989].
  • Holly Moore. (2017), Matlab for Engineers, 5th. Pearsons, [ISBN: 9780134589640].
  • Luca Zamboni. (2013), Getting Started with Simulink, 1st. Packt Publishing, [ISBN: 9781782171393].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SESST_8 Bachelor of Science (Honours) in Environmental Science and Sustainable Technology 7 Mandatory
CR_SINEN_8 Bachelor of Science (Honours) in Instrument Engineering 7 Mandatory