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Unit of study_

AMME2500: Engineering Dynamics

Semester 1, 2024 [Normal day] - Camperdown/Darlington, Sydney

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.

Unit details and rules

Unit code AMME2500
Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
{(MATH1X61 or MATH1971) or [(MATH1X21 or MATH1931) and MATH1X02]} and [(MATH1X62 or MATH1972) or (MATH1X23 or MATH1933)] and (AMME1802 or ENGG1802)
Assumed knowledge

Familiarity with the MATLAB programming environment

Available to study abroad and exchange students


Teaching staff

Coordinator Matthew Cleary,
Lecturer(s) Matthew Cleary,
Tutor(s) Ankith Anil Das,
Type Description Weight Due Length
Supervised exam
Final exam
Final Exam
50% Formal exam period 2 hours
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO11 LO12 LO13
Small continuous assessment Weekly tutorial problems
Work in small groups. Marked off by tutors
10% Multiple weeks 2 hr per week during allocated tutorial
Outcomes assessed: LO1 LO12 LO11 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Small test Quiz 1
problem solving, analysis, calculation
10% Week 05
Due date: 18 Mar 2024 at 09:00
1 hr
Outcomes assessed: LO9 LO12 LO11 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Small test Quiz 2
problem solving, analysis, calculation
10% Week 10
Due date: 29 Apr 2024 at 09:00
1 hr
Outcomes assessed: LO2 LO12 LO11 LO9 LO8 LO7 LO6 LO5 LO4 LO3
Assignment Lab reports
Reports on lab activities: online materials/videos/datasets provided
10% Week 13
Due date: 24 May 2024 at 23:59

Closing date: 07 Jun 2024
Average student 8 hours
Outcomes assessed: LO7 LO1 LO2 LO9
Assignment Major Assignment
problem solving, analysis, calculation, computer-based analysis and report
10% Week 13
Due date: 24 May 2024 at 23:59

Closing date: 07 Jun 2024
Average student 8 hours
Outcomes assessed: LO9 LO11 LO12 LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO10

Assessment summary

  • Tutorials: Tutorials will run weeks 1-12. Example problems will be solved and students can work on the weekly tutorial problems which must be submitted online by the following Monday.
  • Quizzes: Quizzes will test Modules 1 and 2. They will be run during the lectures.
  • Major Assignment: This 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 incuding 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


High distinction

85 - 100

Exceptional standard of work completed in meeting course learning outcomes.


75 - 84

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


65 - 74

Good standard of work completed in meeting course learning outcomes.


50 - 64

Acceptable standard of work completed in meeting course learning outcomes.


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.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Multiple weeks An average student should spent a total of 65 hours of independent study over the semester, including work on assessment tasks. Independent study (65 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11 LO12
Weeks 1 - 4. Module 1: Dynamics of point-mass systems Lecture and tutorial (20 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11 LO12
Weeks 5 - 6. Module 2: Introduction to vibration Lecture and tutorial (10 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11 LO12
Weeks 6 - 9. Module 3: Dynamics of rigid body systems Lecture and tutorial (20 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11 LO12
Weeks 10 - 12: Module 4: Computational dynamics Lecture and tutorial (15 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11 LO12
Week 13 Week 13. Course Review Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11 LO12

Attendance and class requirements

Attendance: Attendance at all lectures, designated tutorial and laboratory sessions in expected. Non-attendance at laboratory sessions or tutorials on days that fortnightly assignments are due will result in a mark of zero for that piece.

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.

Required readings

James L. Meriam, L. G. Kraige, J. N. Bolton, Engineering Mechanics: Dynamics, 9th Australia & New Zealand Edition

ISBN: 978‐1119‐39098‐5

Available as an e-text:

The book is essential. The course follows the text book closely. Example and tutorial problems are taken from it.

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.
  • LO13. confirming achievement of minimum engineering dynamics knowledge

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.

Student feedback is an important part of the continual development and refinement of AMME2500/9500. This year we have made the following changes: 1. To improve student engagement and to facilitate a constructive learning culture, weekly online tutorial quizzes have been replaced by fortnightly tutorial problems and peer review during class attendance 2. Computational dynamics, which was previously embedded in all modules, has been moved to a dedicated Module 4 to better emphasise its importance. New computational tools in Matlab have been developed to solve complex 3D problems of industrial relevance. 3. A new laboratory apparatus has been purchased and will be introduced in 2024.

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 you lab demonstrator for safety requirements while working in the lab.


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.