ENEM20001 - Advanced Modelling, Simulation and Control of Dynamic Systems

General Information

Unit Synopsis

This project-based learning unit examines the behaviour of mechanical systems. You will apply knowledge of engineering science and mathematics to model, simulate and analyse mechanical systems and consider the nature of engineering assumptions and the effects of uncertainty on analysis and modelling. You will apply control and vibration theory, design and analyse linear and non-linear mathematical models and use simulation software to predict the behaviour of mechanical systems. You will be expected to apply the modelling and analysis of mechanical systems to industrial problems and contexts. You will have opportunities to work individually and in teams to complete projects and to develop interpersonal and technical communication skills. You will prepare professional documentation of problem solutions and project reports.

Details

Level Postgraduate
Unit Level 8
Credit Points 12
Student Contribution Band SCA Band 2
Fraction of Full-Time Student Load 0.25
Pre-requisites or Co-requisites There are no pre-requisites for the unit.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

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Residential School Compulsory Residential School
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Unit Availabilities from Term 3 - 2024

There are no availabilities for this unit on or after Term 3 - 2024

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 12-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 25 hours of study per week, making a total of 300 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Project (applied) 25%
2. Project (applied) 20%
3. Laboratory/Practical 25%
4. Portfolio 30%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 1 - 2020 : The overall satisfaction for students in the last offering of this course was 100.00% (`Agree` and `Strongly Agree` responses), based on a 100% response rate.

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Teaching team
Feedback
Students turning up late for laboratory sessions are not allowed into the session.
Recommendation
Remind students that they will not be allowed into a laboratory session if late, and they will receive a zero grade for the laboratory.
Action Taken
Students were reminded of the lab class schedule beforehand.
Source: Student 'Have your say' survey
Feedback
Students would like to have more guidance during the projects.
Recommendation
Will direct local lecturer/tutors to introduce the projects to students in more detail. Students will be requested to show their work on the projects every week in the tutorials so they can receive weekly feedback and guidance.
Action Taken
Students were guided through the marking criteria thoroughly so that they understood what was to be presented in the project reports.
Source: Student 'Have your say' survey
Feedback
Moodle site videos and resources are helpful.
Recommendation
Continue to review and update the videos and other resources such as the CQU library ebook list.
Action Taken
Resources are reviewed.
Source: Have Your Say
Feedback
In my opinion, there should be a laboratory session on MATLAB and SIMULINK because it is very hard to work on the project whilst learning the software at the same time.
Recommendation
Help files on learning MATLAB and SIMULINK should be added to the Moodle site.
Action Taken
In Progress
Source: Student Email
Feedback
Experimental laboratory sessions should be demonstrated in person, not via videos.
Recommendation
Videos were used due to unprecedented pandemic issues. Once the situation becomes normal, face to face experimental laboratory sessions will resume.
Action Taken
In Progress
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Design mathematical models that analyse and evaluate complex mechanical systems
  2. Explain and apply control theory and control system approaches to complex mechanical systems
  3. Apply engineering assumptions in building mathematical models of complex mechanical systems
  4. Relate theory to the operation and maintenance of mechanical systems in the industrial context
  5. Identify and evaluate engineering uncertainty and the limitations of mathematical models
  6. Work collaboratively in a team to produce high quality outputs
  7. Create professional documentation including the use of mechanical systems terminology, equations, symbols and diagrams.

The Learning Outcomes for this unit are linked with the Engineers Australia Stage 1 Competency Standards for Professional Engineers in the areas of 1. Knowledge and Skill Base, 2. Engineering Application Ability and 3. Professional and Personal Attributes at the following levels:
Introductory
3.3 Creative, innovative and pro-active demeanour. (LO: 6N 7N )
3.4 Professional use and management of information. (LO: 6N 7N )
3.5 Orderly management of self, and professional conduct. (LO: 6N 7N )
Intermediate
1.4 Discernment of knowledge development and research directions within the engineering discipline. (LO: 1N 2N 3I 4I )
3.2 Effective oral and written communication in professional and lay domains. (LO: 6I 7I )
Advanced
1.1 Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. (LO: 1I 2I 3A 4A )
1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. (LO: 1I 2I 3A 4A 5A )
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. (LO: 1A 2A 3A 4A 5A )
2.1 Application of established engineering methods to complex engineering problem solving. (LO: 1A 2A 3A 4A )
2.2 Fluent application of engineering techniques, tools and resources. (LO: 1A 2I 3A 4I )
2.3 Application of systematic engineering synthesis and design processes. (LO: 3I 4A )
2.4 Application of systematic approaches to the conduct and management of engineering projects. (LO: 1A 2I 3A )
3.6 Effective team membership and team leadership. (LO: 6A 7A )

Note: LO refers to the Learning Outcome number(s) which link to the competency and the levels: N – Introductory, I – Intermediate and A - Advanced.
Refer to the Engineering Postgraduate Units Moodle site for further information on the Engineers Australia's Stage 1 Competency Standard for Professional Engineers and course level mapping information

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5 6 7
1 - Project (applied) • •
2 - Project (applied) • •
3 - Laboratory/Practical •
4 - Portfolio • • •
Alignment of Graduate Attributes to Learning Outcomes
• Professional Level
• Advanced Level
Graduate Attributes Learning Outcomes
1 2 3 4 5 6 7
1 - Knowledge • • • • •
2 - Communication • • •
3 - Cognitive, technical and creative skills • • •
4 - Research •
5 - Self-management •
Alignment of Assessment Tasks to Graduate Attributes
• Professional Level
• Advanced Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Project (applied) • • •
2 - Project (applied) • • •
3 - Laboratory/Practical • • •
4 - Portfolio • • •