STAT3090
Statistical Computing
10 Units
Not available in 2012
Previously offered in 2006, 2005, 2004
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.
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
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Contact HoursComputer Lab: for 2 hour(s) per Week for 13 weeks Lecture: for 2 hour(s) per Week for 13 weeks |