| Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer, convener
David Spence
Lecturer
Michael Steel
Lab instructor
Christina Giarmatzi
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
(PHYS1020 or PHYS1520) and (MATH1020 or MATH1025) and FOSE1030
|
| Corequisites |
Corequisites
MATH2010 or MATH2055
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
While an imperfect description of nature, classical mechanics as developed from the 18th to early 20th century is a remarkably successful theory that accurately describes a vast range of human experience from billiards to biomechanics to space flight. In this unit we study some of the central ideas of mechanics. The first half of the unit develops the theory of single and coupled harmonic oscillators, covering topics including resonance, damping, transients, and normal modes. The second half develops the theory of analytical mechanics in the Lagrangian and Hamiltonian formulations and explores how these frameworks simplify the description of complex mechanical systems. These elegant and powerful theories also serve as an important mathematical foundation for our study of quantum mechanics later in the course. The theoretical material concludes with a brief study of classical wave motion, superposition and interference. The laboratory program combines development of experimental skills such as problem solving, data analysis and report writing with a first course in computational physics (conducted in the python programming language) as well as techniques in electronic data acquisition widely used in industry and research. There is also a small project, where students work in small groups to investigate mechanical phenomena in a novel system. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
In the week 7 SGTA (Wednesday 22 April, 3pm), you will demonstrate your problem solving skills. These written questions will be based on those you have seen in prior SGTA work. The assessment is observed, and AI-closed.
During the session, you are required to carry out three experiments; these take 4 weeks (two one-week experiments, and one two-week experiment).
You must keep a logbook record for each experiment. Logbooks will be assessed for readability, layout, completeness and clarity. The record of the experiment in your logbook must include relevant calculations and graphs for each experiment. Raw results with no analysis are not acceptable. You will also submit a full report for one of the one-week experiments. The distinction between logbook records and reports will be explained on iLearn.
You submit all four items at the due date. Please ask for early feedback if you wish. The formal report is worth 10%, and the logbook records for the other experiments 15%, for a total of 25% for the laboratory assessment.
Late submission will be permitted in line with the FSE policy below.
There will be a 3 hour end-of-session final exam to be held in the University Examination Period.
You should have a scientific calculator for use during the final examination. Note that calculators with text retrieval are not permitted for the final examination.
If you receive special consideration for the final exam, a supplementary exam will be scheduled. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. Approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.
5% penalty per day: If you submit your assessment late, 5% of the total possible marks will be deducted for each day (including weekends), up to 7 days.
Example 1 (out of 100): If you score 85/100 but submit 20 hours late, you will lose 5 marks and receive 80/100.
Example 2 (out of 30): If you score 27/30 but submit 1 day late, you will lose 1.5 marks and receive 25.5/30.
After 7 days: Submissions more than 7 days late will receive a mark of 0.
Extensions:
Automatic short extension: Some assessments are eligible for automatic short extension. You can only apply for an automatic short extension before the due date.
Special Consideration: If you need more time due to serious issues and for any assessments that are not eligible for Short Extension, you must apply for Special Consideration.
Need help? Review the Special Consideration page HERE
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Portfolio of lab records and report | 25% | No | 11/05/2026 | Individual | Yes | Open |
| Final examination | 50% | No | Examination Period | Individual | No | Observed |
| Skill Development: Problem Solving | 25% | No | 22/04/2026 | Individual | No | Open |
Assessment Type 1: Portfolio
Indicative Time on Task 2: 12 hours
Due: 11/05/2026
Weighting: 25%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
Lab notes and a report from the experimental labs.
Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: Examination Period
Weighting: 50%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed
Examination in the university exam period, covering all the content from the unit.
Assessment Type 1: Problem-based task
Indicative Time on Task 2: 10 hours
Due: 22/04/2026
Weighting: 25%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Open
You will demonstrate solving problems on the spot in this assessment. You will work independently to demonstrate your acquisition of the concepts and skills that are foundational to analytical mechanics. To help you prepare, you will be given example problems in each SGTA.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
The unit teaches theoretical and experimental classical mechanics.
The theoretical content is taught through online materials, and each week there is one lecture, and one active-learning SGTAs. Online materials will be a mixture of assigned reading, and short videos on key concepts or standard mathematical tools. Each week you should engage with online materials as provided, to become familiar with the concepts we are learning that week. In the lecture and the SGTA, it will be assumed that you have familiarity with that material.
Lectures and SGTAs start in week 1. Experiments start in week 5.
You will complete four weeks of experimental work to complement the theoretical content, and to continue to develop your experimental skills.
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
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When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
The content of this unit has changed, to remove quantum mechanics (moved to PHYS2030) and to add analytical mechanics in the Lagrangian and Hamiltonian formulations. Python laboratories have been removed (now taught in FOSE1030). Lectures have been reduced from two hours to one, with the addition of online content, and the assessment structure has been simplified.
| Date | Description |
|---|---|
| 18/02/2026 | Weight of lab assessment (25%) corrected in the text. |
Unit information based on version 2026.04 of the Handbook