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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_

AMME9500: Engineering Dynamics

This unit of study will focus on the principles governing the state of motion or rest of bodies under the influence of applied force and torque, according to classical mechanics. The course aims to teach students the fundamental principles of the kinematics and kinetics of systems of particles, rigid bodies, planar mechanisms and three-dimensional mechanisms, covering topics including kinematics in various coordinate systems, Newton's laws of motion, work and energy principles, impulse and momentum (linear and angular), gyroscopic motion and vibration. Students will develop skills in analysing and modelling dynamical systems, using both analytical methods and computer-based solutions using MATLAB. Students will develop skills in approximating the dynamic behaviour of real systems in engineering applications and an appreciation and understanding of the effect of approximations in the development and design of systems in real-world engineering tasks.

Details

Academic unit Aerospace, Mechanical and Mechatronic
Unit code AMME9500
Unit name Engineering Dynamics
Session, year
? 
Semester 1, 2020
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
? 
AMME5500
Prerequisites
? 
None
Corequisites
? 
None
Assumed knowledge
? 

University level Maths and Physics, especially covering the area of Mechanics, and familiarity with the MATLAB programming environment.

Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Mitch Thomas James Bryson, mitch.bryson@sydney.edu.au
Lecturer(s) Mitch Thomas James Bryson , mitch.bryson@sydney.edu.au
Type Description Weight Due Length
Final exam Final exam
Final Exam (Canvas)
50% Formal exam period 3 hours
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO11 LO12
Assignment Tutorials
Weekly online problem sets
10% Multiple weeks n/a
Outcomes assessed: LO3 LO4 LO5 LO6 LO7
Assignment Lab reports
Reports on lab activities: online materials/videos/datasets provided
10% Multiple weeks n/a
Outcomes assessed: LO9 LO12
Assignment Assignment 1
problem solving, analysis, calculation, computer-based analysis and report
10% Week 04 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11 LO12
Assignment Assignment 2
problem solving, analysis, calculation, computer-based analysis and report
10% Week 09 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO10 LO11 LO12
Assignment Assignment 3
problem solving, analysis, calculation, computer-based analysis and report
10% Week 13 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11 LO12
  • Tutorials: Tutorials will run weeks 1-13 inclusive and will require the submission of a tutorial worksheet to the tutors during the tutorial, which will be marked. You will only receive your mark if you attend your allocated tutorial session and submit your worksheet to the tutors within the allocated time. 
  • Assignments: There will be three assignments during the course. Assignments 1 and 2 will involve a combination of problem solving, analysis and calculation, computer-based analysis and report writing, based on topics presented in the associated lectures. Assignment 3 will involve students performing research into a dynamic system in an engineering application of their choice (for example industrial machinery, automotive suspension, aircraft/spacecraft flight dynamics, athletic biomechanics etc.) performing analysis and computer-based modelling of the system.
  • Lab reports: The two laboratories are worth 5% each, and are assessed based on a written report that must be submitted (via Canvas) for each lab. Online materials are provided including a Canvas module to work through containing reading material, video demonstrations and lab datasets to download and analyse in the student’s submitted lab reports.

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

Description

High distinction

85 - 100

Exceptional standard of work completed in meeting course learning outcomes.

Distinction

75 - 84

Very good standard of work completed in meeting course learning outcomes.

Credit

65 - 74

Good standard of work completed in meeting course learning outcomes.

Pass

50 - 64

Acceptable standard of work completed in meeting course learning outcomes.

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.

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
Week 01 Introduction to dynamics, revision of selected mathematical topics, kinematics of particles in various coordinate systems Lecture and tutorial (5 hr)  
Week 02 Kinematics and kinetics of particles: relative and constrained motion, force mass and acceleration Lecture and tutorial (5 hr)  
Week 03 Kinematics and kinetics of particles: work, energy, impulse and momentum Lecture and tutorial (5 hr)  
Week 04 Kinetics of particles in relative frames of reference, angular momentum, kinetics of systems of particles Lecture and tutorial (5 hr)  
Week 05 Introduction to dynamics of rigid bodies, plane kinematics of rigid bodies Online class (5 hr)  
Week 06 Plane kinetics of rigid bodies: force, mass and acceleration Online class (5 hr)  
Week 07 Plane kinetics of rigid bodies: work, energy, impulse and momentum Online class (5 hr)  
Week 08 Three-dimensional kinematics of rigid bodies Online class (5 hr)  
Week 09 Three-dimensional kinetics of rigid bodies Online class (5 hr)  
Week 10 Free and forced vibration of particles and rigid bodies Online class (5 hr)  
Week 11 Advanced computer modeling of dynamic systems Online class (5 hr)  
Week 12 Advanced topics: dynamics of variable mass systems, introduction to Lagrangian mechanics, Laplace transforms and transfer functions Online class (5 hr)  
Week 13 Course review and revision Online class (5 hr)  

Attendance and class requirements

Attendance: Attendance at all lectures and designated tutorial and laboratory sessions in both expected and compulsory.

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.

Prescribed readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • J.L. Meriam and L.G. Kraige, Engineering Mechanics: Dynamics (6th or 7th Edition). Wiley, 2016. ISBN 9781118083451.

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. use basic information literacy skills to seek out existing approaches to the modelling and design of dynamic components of real engineering systems
  • LO2. communicate results in the analysis and solution to engineering problems involving dynamics through the logical presentation of problems solving steps, computer code and written reports
  • LO3. model and approximate real engineering scenarios to basic first-order systems of dynamical equations that can be analysed by the methods developed in the course
  • LO4. outline a logical approach to solving complex problems involving bodies undergoing acceleration based on common scenarios encountered in engineering
  • LO5. analyse problems involving varying coordinate systems, relative motion involving both translating and rotating frames of reference and apply principles of kinematics and kinetics to these systems
  • LO6. apply the principle of work and energy to both systems of particles and rigid-body planar kinetics
  • LO7. apply the principles of impulse, linear and angular momentum to both systems of particles and rigid-body planar kinetics
  • LO8. generate equations of motions for multi-degree of freedom systems involving particles and rigid bodies using free body diagrams and principles of kinetics
  • LO9. determine the equations of motion of free and forced vibrating mechanical systems
  • LO10. use basic computational tools and numerical methods in MATLAB to model, simulate and solve dynamic behaviours of multi-body systems
  • LO11. appreciate and understand fundamental principles in differential and integral calculus, vector calculus and linear algebra and their application in the derivation of dynamical equations of motion
  • LO12. use mathematical tools to analytically derive dynamical equations of motion and calculate results using these tools.

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
Student feedback is an important part of the continual development and refinement of AMME2500/9500. This year we have refined lecture content, tutorial exercises and structure, assignment tasks.

Please refer to the Canvas site for additional course information including teaching staff details, online resources etc.

Additional costs

There are no additional costs for this unit.

Work, health and safety

This unit of study involves laboratory activities: please refer to the Canvas site and your lab demonstrator for safety requirements while working in the lab.

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.