Course Title: Modelling and Simulation of Engineering Systems
Part A: Course Overview
Course Title: Modelling and Simulation of Engineering Systems
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
OENG1116 |
City Campus |
Postgraduate |
172H School of Engineering |
Face-to-Face |
Sem 1 2018, Sem 1 2019, Sem 1 2020, Sem 1 2021, Sem 1 2022, Sem 1 2023, Sem 1 2024 |
Course Coordinator: Prof Pavel M. Trivailo
Course Coordinator Phone: +61 3 9925 6274
Course Coordinator Email: pavel.trivailo@rmit.edu.au
Course Coordinator Location: Bundoora East Campus: 251.03.16
Course Coordinator Availability: Email for appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
Pre-requisite Courses: None. Assumed Knowledge and Capabilities: Calculus, Linear Algebra, Differential Equations, Basic Probability and Statistics, Familiarity with Matlab and Simulink.
Course Description
This course examines a variety of engineering system modelling and simulation methods, as well as numerical and computer based solution techniques utilized in industrial and engineering environments. Techniques for finding solutions to these systems include: graphical, algebraic, numerical, state space, simulation and computational processes. Case studies in industry and engineering applications are used to illustrate the techniques and modelling concepts. Examples of simulation and analysis methods will be related to the linear and non-linear, deterministic and non-deterministic systems.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes: 1. Analysis
- Ability to model deterministic systems and differentiate between nonlinear and linear models.
- Ability to numerically simulate linear and non-linear ordinary differential equations and deterministic systems.
- Ability to estimate and validate a model based upon input and output data.
- Ability to create a model prediction based upon new input and validate the output data.
- Ability to comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities.
- Ability to apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences to engineering applications.
- Ability to plan and execute a substantial research-based assessment tasks, with creativity and initiative in new situations in professional practice and with a high level of personal autonomy and accountability.
- Awareness of knowledge development and research directions within the engineering discipline.
- Ability to develop creative and innovative solutions to engineering challenges.
- Ability to assess, acquire and apply the competencies and resources appropriate to engineering activities.
- Ability to demonstrate professional use and management of information.
- Ability to clearly acknowledge your own contributions and the contributions from others and distinguish contributions you may have made as a result of discussions or collaboration with other people.
- Apply the processes, procedures and techniques which are required for the successful execution of systems engineering methodology to resolve different types of complex problems faced by senior manager, at an earlier stage of system design. These problems may relate to system specification, requirements allocation, maintenance concepts, and critical issue resolution.
- Gain skills on system modelling and characterization by undergoing a structured walkthrough of a sample product and process engineering problem.
- Create system reports and system specification documents within the simulation environment.
- Interpret and verify how the system would perform in its working environment.
- Apply control mechanism and management function to ensure that the system achieve its purpose.
Upon completion of this course, you should be able to:
- Characterise engineering systems in terms of their essential elements, purpose, parameters, constraints, performance requirements, sub-systems, interconnections and environmental context.
- Engineering problem modelling and solving through the relationship between theoretical, mathematical, and computational modelling for predicting and optimizing performance and objective.
- Mathematical modelling real world situations related to engineering systems development, prediction and evaluation of outcomes against design criteria.
- Develop solutions and extract results from the information generated in the context of the engineering domain to assist engineering decision making.
- Interpret the model and apply the results to resolve critical issues in a real world environment.
- Develop different models to suit special characteristics of the system being modelled.
Overview of Learning Activities
The course activities include lectures, computer laboratory modelling tutorials, presentations, group discussions, assignments and reports on case studies.
Overview of Learning Resources
Course-related resources will be provided on Blackboard, which is accessed through myRMIT. This can include lecture material, supplementary course notes, problem sheets and solutions, and useful references.
Overview of Assessment
X This course has no hurdle requirements.
☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).