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 - 2020
- Semester 2 - 2020
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
Instruction will be by either lecture or individual supervision of a reading course.
Face to Face On Campus 2 hour(s) per Week for Full Term