DATAX525-23A (HAM)

Topics in Statistics

30 Points

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Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences
Department of Mathematics and Statistics

Staff

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Convenor(s)

Paul Brown

Paul Brown
5279
G.3.30
See Moodle
paul.brown@waikato.ac.nz

Lecturer(s)

Administrator(s)

: maria.admiraal@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: alistair.lamb@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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What this paper is about

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DATAX525 is a 30-point postgraduate paper that is partly student driven and may comprise some research with the guidance of the lecturer. This course can cover a wide variety of specialised Statistics topics, but this iteration will have a core focus on computational Bayesian methods for modelling.
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How this paper will be taught

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Material will be covered through lectures and/or one-on-one sessions with the lecturer.
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Required Readings

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Students will be advised on appropriate reading material based on their topics and project.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Gain a deeper understanding of their chosen topic
    Linked to the following assessments:
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Assessments

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How you will be assessed

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Students will complete a project that may include a written report and a presentation of their work through the trimester.

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Individual Project
9 Jun 2023
No set time
100
✔
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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