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We are aiming for an incremental return to campus in accordance with guidelines provided by NSW Health and the Australian Government. Until this time, learning activities and assessments will be planned and scheduled for online delivery where possible, and unit-specific details about face-to-face teaching will be provided on Canvas as the opportunities for face-to-face learning become clear.

Unit of study_

AMME3060: Engineering Methods

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.

Details

Academic unit Aerospace, Mechanical and Mechatronic
Unit code AMME3060
Unit name Engineering Methods
Session, year
? 
Semester 2, 2020
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
? 
None
Prerequisites
? 
AMME2000 OR MATH2067 OR (MATH2061 AND MATH2065) OR MATH2021
Corequisites
? 
None
Available to study abroad and exchange students

Yes

Teaching staff and contact details

Coordinator Nicholas Williamson, nicholas.williamson@sydney.edu.au
Lecturer(s) Nicholas Williamson , nicholas.williamson@sydney.edu.au
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 2,4, 5,7,10 and week 11 or 12 (depending on group)
6% Multiple weeks Each laboratory is 2hrs
Outcomes assessed: LO5 LO6
Assignment Assignment 1
Written report, written calculations, Matlab Code and data files.
12% Week 05
Due date: 25 Sep 2020

Closing date: 25 Sep 2020
This should take approximately 10hrs.
Outcomes assessed: LO1 LO3 LO4 LO6
Tutorial quiz Quiz 1
Online quiz, calculations and analysis. Long answer.
10% Week 07
Due date: 14 Oct 2020

Closing date: 14 Oct 2020
1hr, During Wednesday Lecture, 9am-10am
Outcomes assessed: LO3
Assignment Assignment 2
Written report, written calculations, Matlab Code and data files.
12% Week 10
Due date: 06 Nov 2020

Closing date: 06 Nov 2020
This should take approximately 10hrs
Outcomes assessed: LO1 LO3 LO5 LO6
Tutorial quiz Quiz 2
Online quiz, calculations and analysis. Long answer.
10% Week 11
Due date: 04 Nov 2020

Closing date: 04 Nov 2020
1hr, During Wednesday Lecture, 9am-10am
Outcomes assessed: LO3
Type C final exam = Type C final exam ?

Details given in 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

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

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

For more information see sydney.edu.au/students/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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Assignments submitted after the due date and time will receive a 5% penalty per day. After 10days a mark of 0 will be given.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, 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 dishonesty or plagiarism seriously.

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

WK Topic Learning activity Learning outcomes
Pre-semester 1. Approximate methods; 2. The heat equation Lecture (2 hr) LO1 LO3 LO6
Week 01 1. Weighted residuals; 2. FEM: Galerkin Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 02 1. Quadratic Elements; 2. FEM: Galerkin Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 03 FEM: 2D Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 04 1. Mesh generation; 2. Mesh generation 2 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 1. Accuracy: Finite volume method; 2. Finite difference method Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 06 1. Direct solvers; 2. Iterative solvers Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 07 Unsteady methods Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 08 1. Unsteady FEM; 2. Unsteady methods Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 1. Numerical stability 1; 2. Numerical stability 2 Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 1. Computational fluid dynamics (advection schemes); 2. Discrete element method Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 1. Non-linear solvers; Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 1. Non-linear solvers; 2. Engineering standards for computational analysis Lecture (2 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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
Modifications to lectures to record short lecture movies to enable flipped classroom style of lectures.

Disclaimer

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.