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Curricular information is subject to change
You will gain some understanding and knowledge of the techniques and tools which are available. The emphasis will be on understanding the principles behind he different algorithms. This course is not a course on Statistical computing, but you will understand and appreciate how to apply these methods in practice.
|Student Effort Type||Hours|
|Specified Learning Activities||
|Autonomous Student Learning||
Knowledge of Stochastic Processes and Bayesian Inference
|Description||Timing||Component Scale||% of Final Grade|
|Examination: End of trimester written exam||2 hour End of Trimester Exam||No||Standard conversion grade scale 40%||No||
|Continuous Assessment: Online assessments||Throughout the Trimester||n/a||Standard conversion grade scale 40%||No||
|Resit In||Terminal Exam|
|Spring||Yes - 2 Hour|
• Group/class feedback, post-assessment
Not yet recorded.
|Mr John O'Sullivan||Tutor|