Available in 2024
Course code

STAT4101

Units

10 units

Level

4000 level

Course handbook

Description

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.


Availability2024 Course Timetables

Callaghan

  • Semester 1 - 2024
  • Semester 2 - 2024

Learning outcomes

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.


Content

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.


Assumed knowledge

A strong background in 3000/4000 level courses relevant to the topic.


Assessment items

Written Assignment: Assignments


Contact hours

Semester 1 - 2024 - Callaghan

Individual Supervision-1
  • Face to Face On Campus 1 hour(s) per week(s) for 13 week(s) starting in week 1
  • Instruction will be by either lecture or individual supervision of a reading course.
Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Semester 2 - 2024 - Callaghan

Individual Supervision-1
  • Face to Face On Campus 1 hour(s) per week(s) for 13 week(s) starting in week 1
  • Instruction will be by either lecture or individual supervision of a reading course.
Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Course outline

Course outline not yet available.