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Curricular information is subject to change
On completion of the module students will be able to:
- Summarise and present statistical data to non-specialists
- Create statistical graphics in R
- Point out flaws and benefits of different data collection methods
- Determine suitable probability distributions for certain types of data
Anticipated content:
What is statistics?
Turning data into information
Statistical graphics
Surveys
Experiments & observational studies
Relationships between variables
Probability
Random variables
Sampling distributions
Confidence Intervals
Student Effort Type | Hours |
---|---|
Autonomous Student Learning | 75 |
Tutorial | 0 |
Computer Aided Lab | 24 |
Online Learning | 24 |
Total | 123 |
Students should have studied Irish Leaving Certificate, or similar, Mathematics with a statistics component.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): Final 2 Hour Exam | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 50 |
No |
Exam (In-person): Two lab exams during scheduled computer labs | Week 6, Week 12 | Alternative linear conversion grade scale 40% | No | 30 |
No |
Quizzes/Short Exercises: Weekly online lecture and lab quizzes | Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 | Alternative linear conversion grade scale 40% | No | 20 |
No |
Remediation Type | Remediation Timing |
---|---|
Repeat | Within Two Trimesters |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Nuria Garcia Ordiales | Lecturer / Co-Lecturer |
Dr Garrett Greene | Lecturer / Co-Lecturer |
Dr Emma Howard | Lecturer / Co-Lecturer |
Ms Hannah Kane | Tutor |
Kseniia Maksimova | Tutor |
Atefeh Moradi | Tutor |
Mr Matt Nagle | Tutor |
Dr Fabian Ofurum | Tutor |
Yinshen Xu | Tutor |