# STAT3022 Applied Linear Models

## General Information

This page contains information on the senior mainstream unit of study STAT3022.

- Taught in Semester 1.
- Credit point value: 6.
- Classes per week: Three lectures and one tutorial.

Please refer to the Senior Mathematics and Statistics Handbook for all questions relating to Senior Mathematics and Statistics. In particular, see the handbook entry for STAT3022 for further information relating to STAT3022.

You may also view the description of STAT3022 and the description of in the University's course search database.

For enrolled students or other authorized people only, here is a link to the Canvas page for STAT3022.

Students have the right to appeal any academic decision made by the School or Faculty: see sydney.edu.au/students/academic-appeals.html.

Hi! Welcome to this course. I am Jennifer Chan, your lecturer. The lecturer for advanced tutorials is Munir Hiabu.

For those who are still in China, I send my warmest welcome and look forward to see you in campus soon. We will support you to the best we can during this period. Whenever necessary, I will upload additional note to explain things more clearly. Please note the student page for Coronavirus (Covid-19) Update. You may enquire here. We also provide you information regarding How to access student learning resources off campus in China. You can also have Off Campus Student Support.

This website will be hosting the teaching materials for STAT3022. The same website with tutorial and lab times is also available in our school webpage. The lecture slides will be uploaded *after* the lecture (if not earlier). Tutorial solutions for week *n*n are uploaded at the end of week *n*n. Please complete all tutorial questions in week *n* by the start of week *n*+1.

Behind R? Go through the Datacamp courses! Sign up through here where you have unlimited access for 6 months to all the courses offered by Datacamp. You will need to sign up with your student email.

WARNING: many modelling course in datacamp are beyond this course and/or explore concepts that are not central to this course (e.g. machine learning, non-linear, GLM, GLMM). Be mindful that those concepts are not tested within this course. Recommended and relevant datacamp course are added in the Extra column below.

Please use edstem to post questions and email lecturers only if your email is confidential in nature.

The outline below shows an intended breakdown of what we will cover this semester in STAT3022.

Please see the School of Mathematics & Statistics third year website for many other information including the handbook and the timetable website for the Unit of Study timetable.

## Timetable

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