STAT3405 Introduction to Bayesian Computing and Statistics

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • The area of knowledge for this unit is Mathematical and Physical Sciences
  • Category A broadening unit for Bachelor of Science students where relevant according to the broadening requirements for each student
  • Level 3 elective
Content
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.
Outcomes
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.
Assessment
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.

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s)
Associate Professor Berwin Turlach
Unit rules
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1012 Mathematical Theory and Methods
Contact hours
lectures: 2 hours per week; computer labs: 2 hours per week
Unit Outline
Semester 1_2019 [SEM-1_2019]
  • 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 at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.