Units / PHS1011
PHS1011 · Classical physics and relativity
2026 Handbook6 credit pointsLevel 1School of Physics and Astronomy
Last checked: 23 Aug 2026 UTCOverview
In this unit, you will build on your knowledge of classical (non-quantum) physics related to concepts of motion, forces, momentum and energy; including their application to oscillations, waves and thermal physics. You will also investigate the limits of applicability of classical (non-relativistic) concepts of motion where the ideas of special relativity must be applied. You will explore these concepts in the context of current technology in areas such as transportation and communication and you will also discover how these ideas link to current research in physics. This unit will also introduce you to concepts of experimental design, measurement and analysis that form the basis of the evidence-based approach that is the foundation of scientific discoveries and theories.
Areas of study: Astrophysics Physics Physiology
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | First semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Laboratory assessment | Demonstration | 35% | Threshold |
| 2 | Tests | Quiz / Test | 25% | — |
| 3 | Problem-solving activities | Exercise | 10% | — |
| 4 | Final assessment - Exam (3 hours and 10 minutes) | Examination | 30% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Explain and understand concepts taught in the unit such as force, energy, work, and wave propagation;
- Apply your knowledge to solve problems related to these concepts;
- Evaluate and appraise novel situations in terms of mechanics, thermodynamics, waves and relativity;
- Design and execute experiments;
- Analyse, interpret and evaluate the results arising from these experiments, including using Python code for data analysis;
- Communicate explanations of problems and results of experimentations in written and verbal form.
Workload
The workload to achieve the learning outcomes for this unit is 144 hours spread across the semester (roughly 12 hours per week) - approximately an even mixture of attendance at scheduled activities and self-scheduled study time. Learning activities comprise a mixture of instructor-directed, peer-directed and self-directed learning, which includes face-to-face and online engagement.
| Activity | Duration |
|---|---|
| Workshops | 36 hours |
| Laboratories | 24 hours |
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