Statistical Computing

Course code STAT3090Units 10Level 3000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

Modern statistics requires the extensive use of software and extending the capabilities of software through writing programs.

This course develops expertise in the use of a wide range of software, and builds the skills to implement novel statistical techniques in software. Students will gain deep understanding of a variety of these techniques by writing programs to implement them in software, together with analysis of the techniques themselves.

Enrolment For Distance Learning requires permission from the Head of the Discipline of Statistics.

Not available in 2014

Previously offered in 2006, 2005, 2004
Objectives1.To develop expertise in a number of different statistical packages

2.To develop the skills to rapidly learn a new statistical package

3.To develop an understanding of the nature and processes of statistical computing

4.To understand statistical algorithms (the computational process), especially for new statistical techniques

5.To develop the programming skills to implement statistical techniques.
ContentTopics include:
Types of statistical software
Understanding software manuals
Use and evaluation of at least 3 different statistical packages
Common algorithms in statistics
Computational issues
Statistical Programming
Replacing Course(s)n/a
Transitionn/a
Industrial Experience0
Assumed KnowledgeAt least two statistics courses
Computer literacy
Modes of DeliveryDistance Learning : IT Based
Internal Mode
Teaching MethodsLecture
Computer Lab
Assessment Items
Essays / Written Assignments
Examination: Formal
Projects
Contact HoursComputer Lab: for 2 hour(s) per Week for 13 weeks
Lecture: for 2 hour(s) per Week for 13 weeks