There are now 3 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Units available in Online Restricted mode have been adapted for online study only for those students who require the unit to complete their studies and who are unable to attend campus owing to exceptional circumstances beyond their control. To be enrolled in a unit in Online Restricted mode, students should contact their Student Advising Office through askUWA
Click on an offering mode for more details.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.
STAT3405 Introduction to Bayesian Computing and Statistics
- 6 points
Availability Location Mode Semester 2 Online Online timetabled Semester 2 UWA (Perth) Face to face
- Details for undergraduate courses
- Level 3 core unit in the Data Science major sequence
- Level 3 elective
- This unit introduces fundamental concepts of Bayesian statistics and illustrates how to apply them to various areas of scientific research. Probabilistic programming languages (WinBugs, JAGS and/or Stan) are introduced, and their interfaces to the statistical computing and graphics environment R are discussed. These languages are used, either directly or via their R interface, to fit statistical models within a Bayesian framework to real-world examples from many disciplines such as engineering, science (e.g. agricultural, biological, environmental, medical and physical), social sciences, economics, finance and astronomy.
- Students are able to (1) understand basic concepts of Bayesian statistics; (2) fit Bayesian models to their data using modern probabilistic programming languages; (3) critically assess fitted models; and (4) interpret and communicate results of Bayesian data analyses.
- Indicative assessments in this unit are as follows: (1) assignments; (2) in-semester tests; and (3) a final examination. Further information is available in the unit outline.Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
Except where supplementary assessment is not available in a unit, it will be offered to students in all units who:
- Are in good academic standing overall;
- Have passed over half the units taken in the teaching period concerned, except where they are only enrolled in two or less units in the period;
- Have submitted all assessment items in the unit;
- Have achieved a mark between 45 and 49 for the unit overall, or the same mark in any failed component item in the unit; and
- No finding of academic misconduct has been made against them in the unit concerned.
Additionally student may apply for supplementary assessment in any unit which is the final unit required for graduation in there course and where they have achieved a mark between 45 and 49 for the unit overall, or the same mark in any failed component item in the unit.
- Unit Coordinator(s)
- Associate Professor Berwin Turlach
- Unit rules
- ( Course Enrolment in the MJD-DATSC Data Science major or the MJD-QTMTD Quantitative Methods major ) and ( STAT2401 Analysis of Experiments and STAT2402 Analysis of Observations ) or STAT2062 Fundamentals of Probability with Applications
- STAT4066 Bayesian Computing and Statistics
- Contact hours
- Lectures: 2-hours per week; Computer Labs: 2-hours per week
- STAT3405 will be offered in Semester 2 from 2022.
- 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.
- Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.