Curricular information is subject to change.
Be proficient both manually and in R in all of the areas outlined as part of the module content.
Probability distributions, discrete and continuous, regression, R modelling, sampling and inference, confidence intervals, hypothesis tests, power, sample size calculations.
| Student Effort Type | Hours |
|---|---|
| Autonomous Student Learning | 62 |
| Lectures | 36 |
| Tutorial | 12 |
| Computer Aided Lab | 10 |
| Total | 120 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Exam (In-person): Mid-Term Exam | Week 7 | Standard conversion grade scale 40% | No | 20 |
No |
| Exam (In-person): Final exam | End of trimester Duration: 2 hr(s) |
Other | No | 80 |
No |
As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.
| Resit In | Terminal Exam |
|---|---|
| Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
Assignments graded and returned. Overall module grade available at end.
| Name | Role |
|---|---|
| Assoc Professor Michelle Carey | Lecturer / Co-Lecturer |
| Catherine Higgins | Lecturer / Co-Lecturer |
| Dr Uche Mbaka | Lecturer / Co-Lecturer |
| Atefeh Moradi | Tutor |