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Unit of study_

AMME2500: Engineering Dynamics

Semester 1, 2023 [Normal day] - Remote

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
(MATH1001 or MATH1021 or MATH1901 or MATH1921 or MATH1906 or MATH1931) and (MATH1002 or MATH1902) and (MATH1003 or MATH1023 or MATH1903 or MATH1923 or MATH1907 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,
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
Small test Quiz 1
problem solving, analysis, calculation
10% Week 05
Due date: 20 Mar 2023 at 09:00
1 hr
Outcomes assessed: LO1 LO12 LO11 LO10 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Small test Quiz 2
problem solving, analysis, calculation
10% Week 09
Due date: 24 Apr 2023 at 09:00
1 hr
Outcomes assessed: LO1 LO12 LO11 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Assignment Lab reports
Reports on lab activities: online materials/videos/datasets provided
10% Week 13
Due date: 26 May 2023 at 23:59
Average student 8 hours
Outcomes assessed: LO1 LO2 LO9
Assignment Major Assignment
problem solving, analysis, calculation, computer-based analysis and report
10% Week 13
Due date: 26 May 2023 at 23:59
Average student 8 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO10
Small continuous assessment Weekly tutorial problems
Problems worked on during the tutorial session. Submit online each week.
10% Weekly 2 hours per week
Outcomes assessed: LO5 LO11 LO4 LO3 LO2 LO1 LO12 LO10 LO9 LO8 LO7 LO6

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.

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 - 8. Module 2: Dynamics of planar rigid body systems Lecture and tutorial (20 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11 LO12
Weeks 8 - 10. Module 3: System dynamics, vibration and variable mass Lecture and tutorial (15 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11 LO12
Weeks 10 - 12: Module 4: Dynamics of general three-dimensional motion o frigid bodies 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 and designated tutorial and laboratory sessions in expected. Worked examples will be available only to those in attendance.

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

J.L. Meriam and L.G. Kraige, Engineering Mechanics: Dynamics (6th or 7th Edition). Wiley, 2016. ISBN 9781118083451. Earlier or later editions are fine.

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

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. The course was a bit content heavy and lacked cohesion in the last few weeks. This year the course has been modularised to block content into conceptually manageable chunks. See Modules 1 - 4. 2. Additional computational and programming tools have been developed in Python. 3. Assignments 1 and 2 have been replaced by quizzes to allow each student to demonstrate individual competence and knowledge. 4. Assignment 3 is now called Major Assignment and is available for the entire semester.

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.