Available in 2024
Course code

STAT4102

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.