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Curricular information is subject to change
By the end of the course the students should be able to propose and fit a fully Bayesian statistical model to a wide variety of data sets. They should be able to check the model and give a critique of the Bayesian process as opposed to its Frequentist counterpart.
|Student Effort Type||Hours|
|Specified Learning Activities||
|Autonomous Student Learning||
You should have completed a basic course in statistics including probability, inference, hypothesis testing, estimation and regression.
|Description||Timing||Component Scale||% of Final Grade|
|Examination: 2 hour end of trimester examination.||2 hour End of Trimester Exam||No||Graded||No||
|Continuous Assessment: Assignments will be a mix of theory and computer based problem sheets.||Throughout the Trimester||n/a||Graded||No||
|Resit In||Terminal Exam|
|Summer||Yes - 2 Hour|
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.
|Dr Riccardo Rastelli||Lecturer / Co-Lecturer|
|Mr John O'Sullivan||Tutor|