PHYS5513 Computational Statistics for Physics

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2UWA (Perth)Face to face
Content
This unit provides key tools for the statistical and numerical analysis of complex problems in physics and astrophysics. It includes a solid introduction to the R statistical programming language and contains many practical examples, mainly from cosmology and astrophysics, but extending to general physics and medicine.
Outcomes
Students are able to (1) learn how to use R, interface with other scientific languages and I/O scientific data; (2) master essential numerical analysis techniques in R and benefit from various packages to quickly solve numerical problems.; (3) explain basic statistical concepts (probability trees, joint probabilities, ensembles, resampling, frequentist statistics, tests, correlations, distributions, expectations, moments); (4) apply Bayesian inference to a wide range of scientific problems and master related concepts (maximum likelihood, Fisher information, Laplace approximation, Jeffreys prior); (5) be familiar with advanced inference problems and packages available to solve them; including by MCMC algorithms.; and (6) master temporal and spatial statistical estimators and their Fourier space representations.
Assessment
Indicative assessments in this unit are as follows: (1) assignments and (2) final examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Matthew Young
Unit rules
Prerequisites:
completion of the core and complementary units for the Physics major
or
equivalent.
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available via the Booktopia Textbook Finder, which has the functionality to search by course code, course, ISBN and title, and may also be posted or available at the appropriate school's administrative offices. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.