Data Analysis and Modelling

Postgraduate | 2026

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
INFO 6010
Course ID icon
Course ID
201959
Campus icon
Campus
Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Phys, Chem and E Sci
Course level icon
Course level
2
Work Integrated Learning course
Work Integrated Learning course
No
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
Discipline group A
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

Statistical and Fourier techniques, with applications to experimental design and data analysis.

Course learning outcomes

  • Provide an understanding of how Fourier techniques can be used to solve problems in physics.
  • Demonstrate how the Fourier transform and the related Wavelet transform provides an understanding of physical phenomena and links together many different fields
  • Develop an understanding of frequentist and Bayesian statistical inference, and how to apply them to both parameter inference and model selection as they arise in the physical sciences

Prerequisite(s)

  • must have completed MATHX300 Advanced Differential Equations

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

N/A

Degree list
The following degrees include this course
Master of Science specialising in Medical Radiation Physics