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Laboratory and Computational Physics 3 (PHYC30021)
Undergraduate level 3Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Semester 2
Overview
Availability | Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
The subject offers a range of projects in modules that offer experience in laboratory techniques and computational methods; the relative weights are indicated in the module descriptions. Students must select four projects with a combined weighting that contains at least 25% Computational Physics and 25% Laboratory Physics. The laboratory projects include nuclear physics, particle physics, diffraction, electronics, atomic physics, optical physics and astronomy. The computational projects are designed to develop programming skills and to introduce a range of numerical methods commonly used in physics research will be based on model problems in physics; these may include electronic structure theory, molecular vibrations, stellar structure, quantum spin systems, large-scale magnetic systems and gravitational lensing by point masses. Some projects may be offered that merge laboratory and computational work with approximately equal weighting.
Intended learning outcomes
This subject challenges students to expand their knowledge of fundamental physics principles and develop their capacity to:
- demonstrate an understanding of a wide variety of advanced experimental and data analysis techniques;
- acquire, analyse and interpret experimental data; and
- write and evaluate scientific and technical reports.
- explain the application of a variety of computational techniques including differencing, root finding, quadrature, ordinary and partial differential equations, matrix eigenvalue problems, Monte Carlo methods, fast Fourier transforms and data processing algorithms to physical problems; and
- apply these methods to a range of physical situations and to experimental data.
Generic skills
A student who completes this subject should be able to:
- explain the application of a variety of computational techniques including differencing, root finding, quadrature, ordinary and partial differential equations, matrix eigenvalue problems, Monte Carlo methods, fast Fourier transforms and data analysis algorithms to physical problems
- apply these methods to a range of physical situations.
- acquire and interpret experimental data and design experimental investigations
- participate as an effective member of a laboratory group.
- think independently and analytically, and direct his or her own learning
- manage time effectively in order to submit assessable work when required.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
PHYC20013 | Laboratory and Computational Physics 2 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Plus one of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
PHYC20012 | Quantum and Thermal Physics | Semester 1 (On Campus - Parkville) |
12.5 |
PHYC20015 | Special Relativity and Electromagnetism | Semester 2 (On Campus - Parkville) |
12.5 |
And one of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20030 | Differential Equations | Semester 2 (On Campus - Parkville) |
12.5 |
PHYC20014 | Physical Systems | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- Four reports (one on each of the four projects to be undertaken in the subject) equivalent to 3200 words in total, 800 words each. Project report due dates distributed through the teaching period of the Semester. 4x15% (each report) - 60%
- One report drafted as a scientific journal article (equivalent to 800 words). Report due by end of teaching period of Semester - 15%
- Record keeping of laboratory work and documentation of computer programs. Assessed at the completion of each project - 15%
- Participation in Laboratory and Computational classes. Continuously assessed during contact hours - 10%
- Attendance of not less than 80% of allocated laboratory and computational classes - Hurdle
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Harry Quiney Mode of delivery On Campus (Parkville) Contact hours 3 x three hour laboratory or computational classes per week for eight weeks during the semester Total time commitment 170 hours Teaching period 4 March 2019 to 2 June 2019 Last self-enrol date 15 March 2019 Census date 31 March 2019 Last date to withdraw without fail 10 May 2019 Assessment period ends 28 June 2019 Semester 1 contact information
- Semester 2
Principal coordinator Harry Quiney Mode of delivery On Campus (Parkville) Contact hours 3 x three hour laboratory or computational classes per week for eight weeks during the semester Total time commitment 170 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Time commitment details
170 hours
Additional delivery details
This subject requires all students to actively and safely participate in laboratory activities.
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Informal specialisation Science-credited subjects - new generation B-SCI Informal specialisation Selective subjects for B-BMED Informal specialisation Physics specialisation Informal specialisation Chemical Physics specialisation - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022