ETC3580 Advanced statistical modelling
Faculty of Business and Economics
ETC3580 Advanced statistical modelling is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 1 at Clayton. It needs ETC2410, ETC3440, ETF2100, ETW2510, ETC2420 or ETC2560 and unlocks 4 units.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
Reviews
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Requisites
Before ETC3580
Prerequisites
Pass these before you enrol.
- ETC2410Introductory econometricsNo reviews yet
- ETC3440Introductory econometricsNo reviews yet
- ETF2100Introductory econometricsNo reviews yet
- ETW2510Statistical modelling for decision makingNo reviews yet
- ETC2420Statistical thinkingNo reviews yet
- ETC2560Statistical modelling for actuarial studiesNo reviews yet
After ETC3580
4 units list ETC3580 as a prerequisite or corequisite.
Enrolment rules
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 Higher level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces extensions of linear regression models for handling a wide variety of data analysis problems. Three extensions will be considered: generalised linear models for handling counts and binary data; mixed-effect models for handling data with a grouped or hierarchical structure; and non-parametric regression for handling non-linear relationships. All computing will be conducted using R.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Blended |
Assessment
- Written40%
- Examination60%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
understand statistical models for handling common data analysis problems
- 2
develop skills for fitting, interpreting and assessing statistical models
- 3
develop computer skills for exploring and modelling different kinds of data.
Workload and teaching
- Workshops12 hours
- Seminars24 hours
- Tutorials12 hours
- Teaching approachActive learning
- Teaching approachProblem-based learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETC3580 is part of 8 areas of study in the 2027 handbook.
- ACAN-USPECSpecialisation, Specified discipline unitsActuarial analyticsNo reviews yet
- BUAN-MAJMajor, Specified discipline unitsBusiness analyticsNo reviews yet
- BUAN-MINMinor, Specified discipline unitsBusiness analyticsNo reviews yet
- BALE-USPECSpecialisation, Core unitsBusiness analytics for economicsNo reviews yet
- DASC-MAJMajor, Additional unitsData scienceNo reviews yet
- ECNM-MAJMajor, Specified discipline unitsEconometricsNo reviews yet
- ECNM-MINMinor, Core unitsEconometricsNo reviews yet
- MTFE-MAJMajor, Specified discipline unitsMathematical foundations of econometricsNo reviews yet
Contacts
- Chief Examiners
- Associate Professor Didier Nibbering
Common questions
What are the prerequisites for ETC3580?
You need ETC2410, ETC3440, ETF2100, ETW2510, ETC2420 or ETC2560 before you enrol. Enrolment rules also apply.
What can I take after ETC3580?
ETC3580 is a prerequisite or corequisite for 4 units, including ETC4400, ETC4541, ETC5410 and ETC5440.
When is ETC3580 offered?
In 2027, ETC3580 runs in Semester 1 at Clayton.
How much work is ETC3580?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC3580 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETC3580?
ETC3580 is part of Actuarial analytics, Business analytics, Business analytics for economics, Data science and Econometrics, and 1 other area of study.