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Curricular information is subject to change
Learning Outcomes
On successful completion of the module students should be able to:
• Understand the benefits and drawbacks of the scientific method and quantitative data approaches
• Recognise and explain the appropriateness of statistical test for data analysis
• Execute a number of common statistical tests in R
• Interpret findings from these tests accurately
• Report findings from quantitative data appropriately and accurately
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Computer Aided Lab | 12 |
Specified Learning Activities | 30 |
Autonomous Student Learning | 71 |
Total | 125 |
Not applicable to this module.
Description | % of Final Grade | Timing |
---|---|---|
Assignment: Report 1 | 35 |
Week 7 |
Assignment: Report 2 | 35 |
Week 11 |
Class Test: Class Test | 30 |
Week 12 |
Compensation
This module is not passable by compensation
Resit Opportunities
In-semester assessment
Remediation
If you fail this module, you may avail of a resit opportunity. Details of resit arrangements will be provided by the module coordinatorand/or on Blackboard, including submission deadlines.
Name | Role |
---|---|
Michele Cloonan | Lecturer / Co-Lecturer |
Mr Diego Garaialde | Lecturer / Co-Lecturer |
Dr Bahareh Heravi | Lecturer / Co-Lecturer |