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Unit of study_

AMME3060: Engineering Methods

Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney

This unit 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. While some analytical methods will be considered, the primary focus of the course will be on the use of numerical solution methods, including finite difference, finite element, finite volume and discrete element methods. Commercial engineering packages will be introduced with particular attention given to the development of standards for the accuracy.

Unit details and rules

Unit code AMME3060
Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
AMME2000 OR MATH2067 OR (MATH2061 AND MATH2065) OR MATH2021
Assumed knowledge


Available to study abroad and exchange students


Teaching staff

Coordinator Nicholas Williamson,
Lecturer(s) Nicholas Williamson,
Tutor(s) Shahfiq Shahjahan,
Cindy Nguyen-Dang,
Type Description Weight Due Length
Final exam (Open book) Type C final exam Final Exam
An exam mark of 50% is required to pass this course. Type C exam.
50% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO6
Participation Laboratory
Held on Weeks 3,5,6,8,11 and week 12 or 13 (depending on group)
6% Multiple weeks Approx 100min of analysis +5minQ&A
Outcomes assessed: LO5 LO6
Assignment Assignment 1
Written report, written calculations, Matlab Code and data files.
12% Week 06
Due date: 17 Sep 2021 at 23:00

Closing date: 01 Oct 2021
Report ~4-8pages, Code~4-8pages
Outcomes assessed: LO1 LO3 LO4 LO6
Tutorial quiz Quiz 1
Online quiz, calculations and analysis. Long answer.
10% Week 08
Due date: 06 Oct 2021 at 09:00

Closing date: 06 Oct 2021
typically 4 to 6 pages of working
Outcomes assessed: LO4 LO3 LO6
Assignment Assignment 2
Written report, written calculations, Matlab Code and data files.
12% Week 11
Due date: 29 Oct 2021 at 23:00

Closing date: 12 Nov 2021
Report ~4-8pages, Code~4-8pages
Outcomes assessed: LO1 LO3 LO5 LO6
Tutorial quiz Quiz 2
Online quiz, calculations and analysis. Long answer.
10% Week 12
Due date: 03 Nov 2021 at 09:00

Closing date: 03 Nov 2021
typically 4 to 6 pages of working
Outcomes assessed: LO3 LO6 LO1
Type C final exam = Type C final exam ?

Assessment summary

  • Quiz 1,2 are timed online quizzes through canvas. These are long answer questions which must be handwritten, scanned and uploaded. Questions banks are used. The quizzes are held during the lecture time but can be asynchronously scheduled for special consideration if held on the same calendar day. Some solutions may be provided as early as 24hrs after the quiz so no quiz can be scheduled after 24hrs.


  • Laboratory sessions are independent work supported by a tutor. The grades are associated with completion of the work, demonstration of the analysis of computational model and then discussion with the tutors. With special consideration the students can be marked off for the work in a following timetabled laboratory session.


  • Assignment 1 and 2 are individual assignments where students are required to discretise partial differential equations, write MATLAB code to solve these equations numerically and perform analysis. Use of commercial analysis software may also be required. The work is submitted as a report together with the code and datafiles through canvas Turnitin. Solutions are posted 10days after the deadline so extension beyond this period is not possible. In this circumstance the exam should be re-weighted to incorporate the assignment weighting.


  • Exam: The exam is a type C exam with long answer questions which must be handwritten, scanned and uploaded.

Detailed information for each assessment can be found on Canvas


Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range


High distinction

85 - 100



75 - 84



65 - 74



50 - 64



0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Multiple weeks Independent study to prepare for classes and to work on assignments. Independent study (85 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 01 1. Approximate methods; 2. The heat equation Lecture and tutorial (2 hr) LO1 LO3 LO6
Week 02 1. Weighted residuals; 2. FEM: Galerkin Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 03 ANSYS 1: FEM Computer laboratory (2 hr) LO1 LO5 LO6
1. Quadratic Elements; 2. FEM: Galerkin Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 04 FEM: 2D Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 ANSYS 2: Mesh Generation 1 Computer laboratory (2 hr) LO5
1. Mesh generation; 2. Mesh generation 2 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 06 ANSYS 3: Mesh Generation 2 Computer laboratory (2 hr) LO5
1. Accuracy: Finite volume method; 2. Finite difference method Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 07 1. Direct solvers; 2. Iterative solvers Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 08 ANSYS 4: Unsteady Problems Computer laboratory (2 hr) LO1 LO5 LO6
Quiz, Unsteady methods Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 1. Unsteady FEM; 2. Unsteady methods Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 1. Numerical stability 1; 2. Numerical stability 2 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 ANSYS 5: CFD Computer laboratory (2 hr) LO1 LO5 LO6
1. Computational fluid dynamics (advection schemes); 2. Discrete element method Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 ROCKY DEM Computer laboratory (2 hr) LO5 LO6
1.Quiz, 2. Non-linear solvers; Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 Engineering standards for computational analysis, Review Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6

Attendance and class requirements

Independent Study: Approximately 5 hours per week of independent study outside of scheduled hours are required to complete the course assessments.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. present numerical solutions and describe accuracy of those solutions
  • LO2. work with engineering standards in this area
  • LO3. define and solve engineering problems
  • LO4. write computer code to solve complex problems in engineering using finite-difference and finite-element methods
  • LO5. use state of the art commercial engineering software packages, such as ANSYS/FLUENT/CFX
  • LO6. understand stability, accuracy, and convergence.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities

This section outlines changes made to this unit following staff and student reviews.

Modifications to lectures to record short lecture movies to enable flipped classroom style of lectures.


The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.