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AMME3060: Engineering Methods (2019 - Semester 2)

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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
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
Timetable: AMME3060 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 2 13
2 Tutorial 2.00 1 12
3 Independent Study 5.00 1 13
4 Laboratory 2.00 1 7
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)
1. Ability to present numerical solutions and describe accuracy of those solutions
(8) Professional Effectiveness and Ethical Conduct (Level 3)
2. Understanding of and ability to work with engineering standards in this area.
(3) Problem Solving and Inventiveness (Level 3)
3. Gain skills in defining and solving engineering problems
(1) Maths/ Science Methods and Tools (Level 3)
4. Ability to write computer code to solve complex problems in Engineering using finite-difference, finite-element and spectral methods.
5. Ability to use state of the art commercial engineering software packages such as ANSYS/FLUENT/CFX
6. Understanding of stability, accuracy and convergence.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment No 12.00 Week 6 1, 3, 4, 6,
2 Assignment No 12.00 Week 11 1, 3, 5, 6,
3 Quiz No 10.00 Week 8 3,
4 Quiz No 10.00 Week 12 3,
5 Exam No 50.00 Exam Period 2, 3,
6 Laboratory Yes 6.00 Multiple Weeks 5, 6,
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.
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at 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

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 Year(s) Offered
Aeronautical Mid-Year 2016, 2017, 2018, 2019, 2020
Mechanical Mid-Year 2016, 2017, 2018, 2019, 2020
Mechanical 2015, 2017, 2018, 2019, 2020, 2016
Mechanical (till 2014) 2014
Aeronautical 2016, 2017, 2018, 2019, 2020
Mechanical / Arts 2018, 2019, 2020
Mechatronic Mid-Year 2016, 2017, 2018, 2019, 2020
Mechatronic 2016, 2017, 2018, 2019, 2020
Aeronautical/ Project Management 2019, 2020
Aeronautical / Arts 2019, 2020
Aeronautical / Law 2019, 2020
Mechanical/ Project Management 2019, 2020
Mechatronic/ Project Management 2019, 2020

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.