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ETC4500 · Advanced R programming

Official Handbook

2026 Handbook6 credit pointsLevel 4Department of Econometrics and Business Statistics

Last checked: 23 Aug 2026 UTC

Overview

R is widely used as a tool for data analysis and one of the most popular programming languages. This unit delves into R from the programming aspect instead of using it as a data analysis tool. You will learn a variety of programming paradigms and delve into the foundations of R as a programming language.

Offerings

CampusTeaching periodMode
ClaytonFirst semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
11 - ProjectProject100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prerequisite

  • ETC3250 — Introduction to machine learning
  • ETC3550 — Applied forecasting
  • ETC5252 — Probability and statistical inference for economics and business
  • ETC5550 — Applied forecasting
  • ETC5580 — Advanced statistical modelling

Joined by OR.

  • ETC5510 — Introduction to data analysis
  • ETC5512 — Wild-caught data
  • ETC5513 — Collaborative and reproducible practices

Joined by AND.

prohibitions

Learning outcomes

  1. be familiar with the foundations of R programming
  2. understand a variety of programming paradigms, including functional programming and object-oriented programming
  3. utilise R’s functional and object-oriented programming systems
  4. integrate the concept of metaprogramming to evaluate and construct new functions.

Workload

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.

ActivityDuration
Workshops36 hours

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