Classes

Lectures (beginning in Week 1): There is one two-hour lectures each week.

SGTA classes (beginning in Week 2): Students must register in and attend one one-hour class per week.

The timetable for classes can be found on the University website at: https://timetables.mq.edu.au/

Enrolment can be managed using eStudent at: https://students.mq.edu.au/support/technology/systems/estudent

Suggested textbooks

The following textbook is useful as supplementary resources, for additional questions and explanations. They are available from the Macquarie University library:

1. Fahrmeir, L., Kneib, T., Lang, S. and Marx, B. (2013). Regression: Models, Methods and Applications, Springer.   
2. Faraway, J. J. (2016). Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. CRC Press.  
3. De Jong, P. and Heller, G.Z. (2008). Generalized Linear Models for Insurance Data, Cambridge University Press.  
4. Wood, Simon N. (2017). Generalized additive models: an introduction with R, 2nd edition. CRC Press.  
5. Stasinopoulos M. D., Rigby R. A., Heller G. Z., Voudouris V., De Bastiani F. (2017). Flexible Regression and Smoothing: Using GAMLSS in R. CRC Press.  
6. Dobson, A. J. and Barnett, A. G. (2018). An Introduction to Generalized Linear Models, 4th edition, Chapman & Hall.  
7. Lindsey, J.K. (1997). Applying Generalized Linear Models, Springer.   
8. McCullagh, P. and Nelder, J.A. (1989). Generalized Linear Models, 2nd edition, Chapman & Hall.

Technology Used and Required

This subject requires the use of the following computer software:

• R: R is a free statistical software package. Access and installation instructions may be found at: https://www.r-project.org/
• RStudio: RStudio is an open source tool that is used to manage and present work performed using R. Access and installation instructions may be found at https://rstudio.com/products/rstudio/download/
• LaTeX: LaTeX is a free mathematical typesetting program. You should use this to help to typeset your assignment. Access and installation instructions may be found at: https://www.latex-project.org/get/

Communication

We will communicate with you via your university email or through announcements on iLearn. Queries to convenors can either be placed on the iLearn discussion forum or sent to your lecturers from your university email address.

COVID Information

For the latest information on the University’s response to COVID-19, please refer to the Coron- avirus infection page on the Macquarie website: https://www.mq.edu.au/about/coronavirus-faqs. Remember to check this page regularly in case the information and requirements change during semester. If there are any changes to this unit in relation to COVID, these will be communicated via iLearn.

This is a draft schedule and is subjected to change.

We highly appreciate student feedback as it helps us enhance our unit offerings continually. Therefore, we encourage students to provide constructive feedback through various channels, such as student surveys, direct communication with teaching staff, or by utilising the FSE Student Experience & Feedback link available on the iLearn page.

Based on the feedback received from students in the previous iteration of this unit, the overall response was overwhelmingly positive. Students expressed satisfaction with the clarity of assessment requirements and the level of support provided by the teaching staff. Considering this positive feedback, there are no planned changes to the delivery of the unit. However, we remain committed to further improving the level of support and student engagement in order to enhance the overall learning experience.

There is no Hurdle Assessment.

Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of 0 will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11:55 pm. A 1-hour grace period is provided to students who experience a technical concern.

For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Assessments where Late Submissions will be accepted.

In this unit late submissions will be accepted as follows:

• Assignment 1 – YES, Standard Late Penalty applies;
• Assignment 2 – YES, Standard Late Penalty applies;
• Assignment 3 – YES, Standard Late Penalty applies.

To pass this unit you must:

• Achieve a total mark equal to or greater than 50%.

The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the written assessments in this unit on time, please inform the convenor and submit a Special Consideration request through ask.mq.edu.au.