STAT4064 Applied Predictive Modelling
- 6 points
|Semester 2||UWA (Perth)||Face to face|
- Details for undergraduate courses
- Honours option in Mathematics and Statistics [Bachelor of Science (Honours)]
- This unit covers a set of tools for modelling, understanding and predicting from complex data sets. The tools are selected from topics that are a natural blend of statistics and machine learning, and are motivated and demonstrated with applied examples. The underlying general concepts and basic theory are discussed at a level accessible to students. Data sets are analysed using the statistical package R and the unit provides an introduction to this software. Topics are selected from statistical inference, linear regression, model selection, classification, resampling methods, tree-based methods, support vector machines and machine learning.
- Students are able to (1) apply appropriate techniques from the above topics to real world data and communicate results in a logical and coherent fashion; (2) apply statistical reasoning in general to analyse the essential structure of problems in various fields of data science; (3) extend students' knowledge of statistical modelling techniques and adapt known solutions to different situations; and (4) undertake continuous learning in statistical predictive modelling and inference, being aware that an understanding of fundamentals is necessary for effective application.
- Indicative assessments in this unit are as follows: (1) tests and assignments and (2) a final examination. Further information is available in the unit outline.
Supplementary assessment is not available in this unit.
- Unit Coordinator(s)
- Professor Inge Koch
- Unit rules
- STAT2401 Analysis of Experiments
STAT2402 Analysis of Observations
STAT2062 Fundamentals of Probability with Applications
- Advisable prior study:
- STAT2062 Fundamentals of Probability with Applications
(STAT2401 Analysis of Experiments
STAT2402 Analysis of Observations)
- Contact hours
- lectures: 2 hours per week; computer laboratories: 2 hours per week
- 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.