Lecture and workshop times
Lectures will take place on Mondays from 6 pm to 7:30 pm in 12 Second Way - 204 Tute Rm. Lecture recordings and visual materials can also be accessed using ECHO360 on the iLearn.
Workshops will take place on Tuesdays from 6 pm to 8 pm in 4 Western Rd - 311 Tute Rm.
This course draws on two required textbooks.
These textbooks can be accessed via Leganto on the iLearn.
Online Learning Platform
methods101.com is an online learning platform of quantitative research methods managed by me and Dr Nicholas Harrigan (Senior Lecturer of Sociology at MQ). This website provides online resources to help students learn statistical software programs.
The following technologies are used in the course:
Important information about the weekly schedule for the course, course readings and assessment are all available on the course iLearn page. If you do not have access, please contact IT help. You are required to check iLearn and your student email regularly for course updates and information.
AppStream is the university's a new application streaming service which provides students access to existing iLab applications via browser from anywhere, anytime, on any device. Students do not need to install a client on their device to access applications. Google Chrome is recommended browser for AppStream. Login to mq.okta.com with your MQ OneID to access AppStream applications.
Turnitin and GradeMark
The written assessment for the course needs to be submitted via Turnitin. A link to Turnitin is available via the Assessments tab on the iLearn page. Please contact the convenor if you cannot find it (do not leave it until the due date of the assessment). Assessments will be marked via GradeMark and returned to students electronically.
R is the name of the statistical programming language, and RStudio is a convenient interface of R. You can download both R and RStudio for free at:
R and RStudio are available in AppStream as well (see above). Week 2 workshop will introduce how to install R and RStudio. After setting up R and RStudio, it is also necessary to install the following packages for the course: