- Code STAT3015
- Unit Value 6 units
- Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
- ANU College ANU College of Business and Economics
- Course subject Statistics
- Areas of interest Statistics
- Academic career UGRD
- Ian McDermid
- Mode of delivery In Person
Second Semester 2016
See Future Offerings
Course Description: This course is intended to introduce students to generalised linear modelling methods, with emphasis on, but not limited to, common methods for analyzing categorical data. Topics covered include a review of multiple linear regression and the analysis of variance, log-linear models for contingency tables, logistic regression for binary response data, Poisson regression, model selection and model checking, mixed effects models.
The R statistical computing package is used as an integral part of the course.
For students enrolled in STAT7030, there may be alternative assignment or examination problems.
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of the requirements for this course, students should have the knowledge and skills to:
- Communicate the role of generalised linear modelling techniques (GLMs) in modern applied statistics and implement methodology.
- Explain the underlying assumptions for GLMs and perform diagnostic checks; appreciate potential problems.
- Perform statistical analysis using statistical software in addition to learning the underlying theory and methodologies.
See the course outline on the College courses page. Outlines are uploaded as they become available.
- Assignment 1: 15%
- Assignment 2: 20%
- Final Exam: 65%.
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Students taking this course are expected to commit at least 10 hours a week to completing the work.
This will include:
Attendance at 3 lectures per week and 1 tutorial. 6 or more hours of private study including time spend reviewing the course materials and completing computing, tutorial work and assignments.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7662||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|