Note: This unit version is currently under review and is subject to change!
AMME3060: Engineering Methods (2019 - Semester 2)
| Unit: | AMME3060: Engineering Methods (6 CP) |
| Mode: | Normal-Day |
| On Offer: | Yes |
| Level: | Senior |
| Faculty/School: | School of Aerospace, Mechanical & Mechatronic Engineering |
| Unit Coordinator/s: |
Dr Williamson, Nicholas
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| Session options: | Semester 2 |
| Versions for this Unit: |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | AMME2000 OR MATH2067 OR (MATH2061 AND MATH2065) OR MATH2021. |
| Brief Handbook Description: | This course will address the use of state of the art engineering software packages for the solution of advanced problems in engineering. We will cover the solution of partial differential equations in heat transfer; fluids, both inviscid and viscous, and solids, including plates, shells and membranes. While some analytical methods will be considered, the primary focus of the course will be on the use of numerical solution methods, including finite element, finite difference and finite volume. Commercial engineering packages will be introduced with particular attention given to the development of standards for the accuracy and representation of data. |
| Assumed Knowledge: | None. |
| Lecturer/s: |
Dr Williamson, Nicholas
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| Timetable: | AMME3060 Timetable | |||||||||||||||||||||||||
| Time Commitment: |
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| T&L Activities: | Independent Study: Approximately 5 hours per week of independent study outside of scheduled hours are required to complete the course assessments. |
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
| Attribute Development Method | Attribute Developed |
| Students will develop understanding of numerical methods, their suitability and application to numerical modelling of engineering problems and their applicaiton in commercial engineering packages | (1) Maths/ Science Methods and Tools (Level 3) |
| Students will be required to solve engineering problems using numerical methods. Students will be required to write their own Matlab code to implement numerical methods to solve engineering problems in Assignment 1 and 2. | (3) Problem Solving and Inventiveness (Level 3) |
| Students will design and write Matlab code to solve engineering problems with numerical methods. | (4) Design (Level 3) |
| Students will have to present their numerical solutions in professional reports and communicate the accuracy and reliability of their solutions. | (6) Communication and Inquiry/ Research (Level 3) |
| Students will be familiar with numerical accuracy and engineering standards for numerical solutions. This attribute will be demonstrated in assignment presentation and through quiz and exam questions. | (8) Professional Effectiveness and Ethical Conduct (Level 3) |
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.
(6) Communication and Inquiry/ Research (Level 3)| Assessment Methods: |
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| Assessment Description: |
Quiz: Two quizzes will be set, each worth 10% of the total mark. These will be held in during the Wednesday lecture. Assignments: Two individual assignments each worth 12% of the total mark. The Assignments must be submitted through the course Canvas Site. Text-based similarity detecting software (Turnitin) will be used to detect plagiarism. Laboratories: Computer laboratories will be Labs will be held on Weeks 2,3, 5,6,8,11 and (12 or 13) covering Matlab, ANSYS and Rocky DEM. The lab covering Rocky DEM will be held in week 12 and week 13. If your SID < 470019700 then attend week 12 lab. If SID > 470019700 then attend week 13 lab. Ignore other timetabled lab slots. The are 7 labs. The total weighting is 6% i.e. each lab is worth ~0.86%. The marking breakdown: 50% for completion of all the lab tasks and 50% for answering oral questions posed by the tutors after completing the lab tasks. If a lab is missed the tasks may be completed out of the lab session and presented to the tutors at the start of the following lab. Final Exam: A two and a half hour exam will be conducted in the exam period and is worth 50% of the total mark. An exam mark of 50% is required to pass the course. There may be statistically defensible moderation when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with unit outcomes. Assignments submitted after the due date and time will receive a 5% penalty per day. After 10days a mark of 0 will be given. |
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| Grading: |
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| Policies & Procedures: | See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies. |
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
| Week | Description |
| Week 1 | Lecture: Approximate Methods |
| Lecture: The Heat Equation | |
| Week 2 | Lecture: Weighted Residuals |
| Lecture: FEM: Galerkin | |
| Week 3 | Lecture: Quadratic Elements |
| Lecture: FEM Galerkin | |
| Week 4 | Lecture: FEM 2D |
| Lecture: FEM 2D | |
| Week 5 | Lecture: Mesh Generation |
| Lecture: Mesh Generation 2 | |
| Week 6 | Lecture: Accuracy, Finite Volume Method |
| Lecture: Finite Difference Method | |
| Assessment Due: Assignment | |
| Week 7 | Lecture: Direct Solvers |
| Lecture: Iterative Solvers | |
| Week 8 | Unsteady Methods |
| Assessment Due: Quiz | |
| Week 9 | Lecture: Unsteady FEM |
| Lecture: Unsteady Methods | |
| Week 10 | Lecture: Numerical Stability 1 |
| Lecture: Numerical Stability 2 | |
| Week 11 | Lecture: Computational Fluid Dynamics (Advection Schemes) |
| Lecture: Discrete Element Method | |
| Assessment Due: Assignment | |
| Week 12 | Lecture: Guest Lecture |
| Assessment Due: Quiz | |
| Week 13 | Lecture: Non-linear Solvers |
| Lecture: Engineering Standards for Computational Analysis | |
| Exam Period | Assessment Due: Exam |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| (6) Communication and Inquiry/ Research (Level 3) | Yes | 2.4% |
| (8) Professional Effectiveness and Ethical Conduct (Level 3) | Yes | 5% |
| (5) Interdisciplinary, Inclusiveness, Influence (Level 3) | No | 0% |
| (4) Design (Level 3) | Yes | 0% |
| (3) Problem Solving and Inventiveness (Level 3) | Yes | 72.2% |
| (1) Maths/ Science Methods and Tools (Level 3) | Yes | 20.4% |
These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.
