This course provides an in depth study of a topic in Statistics at an advanced level. The topic is individually chosen to suit the student's background and aspirations, and will be offered either as a lecture course or as a reading course under the direction of a member of the academic staff. Each student's topic must be approved by the Honours program convenor.
Availability2019 Course Timetables
- Semester 1 - 2019
- Semester 2 - 2019
On successful completion of the course students will be able to:
1. Demonstrate an understanding of the content and context of an advanced statistical topic;
2. Apply advanced statistical problem solving skills
3. Use sophisticated statistical communication skills in the presentation of statistical arguments.
In this course students will be required to complete a single topic of study drawn from an area of statistics such as categorical data analysis, Bayesian analysis, multivariate statistics, time series analysis, bioinformatics, biostatistics, statistical process control & surveys and experimental design, environmental and ecological statistics and climate change research methods.
The topics on offer in any given year will be determined by staff availability and student interest.
A topic will only be offered once in any calendar year.
A strong background in 3000/4000 level courses relevant to the topic.
Written Assignment: Assignments
Formal Examination: Final Examination
Face to Face On Campus 1 hour(s) per Week for Full Term
Face to Face On Campus 2 hour(s) per Week for Full Term
Instruction will be by either lecture or individual supervision of a reading course.