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Curricular information is subject to change
Students should gain the ability to present the results of fitting advanced statistical models applied to data sets. They should improve their presenting and written skills, and learn some new statistical techniques.
Student Effort Type | Hours |
---|---|
Lectures | 2 |
Specified Learning Activities | 50 |
Autonomous Student Learning | 50 |
Total | 102 |
Students should have a thorough understanding of basic statistical inference including hypothesis testing and regression models.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Project: Written reports | Varies over the Trimester | n/a | Other | No | 50 |
Group Project: Oral presentations | Varies over the Trimester | n/a | Other | No | 50 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Group/class feedback, post-assessment
Written feedback will be provided to each group by email.