Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

The unit introduces students to data collection and analysis, and reproducible report preparation using R and R studio. The specific context of the examples used are relevant to research and data analysis in environmental and agricultural science, and environmental and agricultural economics. Students learn to recognise the appropriate statistical technique for different types of data, and also learn how to obtain and interpret results using the R software platform.

Methods such as ANOVA, linear regression, generalised linear regression, and non-parametric methods are explained and illustrated in the online lectures. Students then complete practical computer based exercises to develop their knowledge and understanding of each approach. Students are also introduced to basic programming concepts that allow R to be used to automate repetitive data management and analysis tasks; the advanced graphics capacity of R; and the workflow for reproducible report generation.

This unit equips students with the knowledge and skills that they need to undertake data analysis at a standard consistent with most workplace demands, using R.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1OnlineOnline flexible
Semester 2OnlineOnline flexible
Outcomes

Students are able to (1) to collect, manage, and interpret observational and experimental data relevant to agricultural and environmental applications; (2) formulate testable hypotheses and use appropriate statistics to test them; and (3) use R/Rstudio to prepare professional high quality reports that integrate data analysis, graphics, and general reporting.

Assessment

Indicative assessments in this unit are as follows: (1) written report; (2) online assignments; and (3) written report. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Associate Professor James Fogarty
Contact hours
150 hours.
The structured activities include approximately 1 hour of online recorded lecture content and approximately 2 hours of computer practical examples to complete each week for 12 weeks.
  • 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.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.