Key facts
UNE unit code: STAT420
*You are viewing the 2025 version of this unit which may be subject to change in future.
- Trimester 2 - On Campus
- Trimester 2 - Online
- Armidale Campus
- Yes
- No
- No
- 6
Unit information
In an era of rapid advances in data collection and computational methods, complex data sets are increasingly prevalent. Professionals who can undertake sophisticated statistical modelling to work with these data are vital in many settings.
Build on your statistics foundation and develop skills in advanced regression techniques that will help you to stand out, with this unit.
You will go beyond the linear model, exploring Generalised Linear Models (GLMs), non-linear regression and mixed effects models.
Learning not only how to analyse and interpret complex data, but also how to effectively communicate your results and conclusions, the unit will help you to fine tune invaluable applied skills.
With an approachable blend of theory and hands-on applied exercises, this unit is ideal if you are interested in further developing statistical modelling skills for use in the workplace or academic research.
Offerings
For further information about UNE's teaching periods, please go to Principal Dates.
Teaching period | Mode/location |
---|---|
Trimester 2 | On Campus, Armidale Campus |
Trimester 2 | Online |
*Offering is subject to availability
Intensive schools
There are no intensive schools required for this unit.
Enrolment rules
Notes
Students must have access to the statistical software R (open source).
Please refer to the student handbook for current details on this unit.
Unit coordinator(s)
Learning outcomes
Upon completion of this unit, students will be able to:
- analyse data, and interpret and communicate results and conclusions, from a wide range of experimental designs;
- use exploratory data analysis to gauge systematic and random components in a data set;
- demonstrate an advanced level of judgement in the application of advanced models to complex problems;
- fit, assess and interpret advanced statistical models;
- build on and broaden their theoretical and technical knowledge of statistical terminology, concepts and methodology to an advanced level, which will enable them to read and critically appraise scientific literature with confidence; and
- demonstrate a high level of understanding and highly developed communication skills by independently and critically analysing a special topic in advanced statistical modelling.
Assessment information
Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Title | Must Complete | Weight | Offerings | Assessment Notes |
---|---|---|---|---|
Assessment 1 | Yes | 8% | All offerings | Problem solving and computational analysis. Students must obtain at least 40% overall for the first four assignments and at least 50% in assignment 5. |
Assessment 2 | Yes | 8% | All offerings | Problem solving and computational analysis.Students must obtain at least 40% overall for the first four assignments and at least 50% in assignment 5. |
Assessment 3 | Yes | 8% | All offerings | Problem solving and computational analysis.Students must obtain at least 40% overall for the first four assignments and at least 50% in assignment 5. |
Assessment 4 | Yes | 8% | All offerings | Problem solving and computational analysis.Students must obtain at least 40% overall for the first four assignments and at least 50% in assignment 5. |
Assessment 5 | Yes | 8% | All offerings | Problem solving and computational analysis.Students must obtain at least 40% overall for the first four assignments and at least 50% in assignment 5. |
Final Examination | Yes | 60% | All offerings | Take home examination. Students must achieve a minimum of 40% in the Final Examination. An overall passing grade for this unit will only be awarded when all assessment task requirements are met and an overall passing mark of at least 50% is achieved. |
Learning resources
Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Textbook information will be displayed approximately 8 weeks prior to the commencement of the teaching period. Please note that textbook requirements may vary from one teaching period to the next.
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