Curricular information is subject to change.
1. Explain research philosophies.
2. Understand basic elements of the empirical research process.
3. Propose research methods for applied contexts.
4. Perform basic statistical analyses.
5. Develop effective surveys, questionnaires, interview protocols and desk research methods for evaluation of applied work.
6. Develop a plan for a capstone or thesis project
Research methods, basic statistical analysis
| Student Effort Type | Hours |
|---|---|
| Lectures | 24 |
| Tutorial | 4 |
| Specified Learning Activities | 100 |
| Autonomous Student Learning | 90 |
| Total | 218 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Exam (In-person): Exam | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 40 |
No |
| Group Work Assignment: Designing data collection proposal template, completed in teams. | Week 9 | Graded | No | 35 |
No |
| Assignment(Including Essay): Researcher identity & planning workbook | Week 12 | Graded | No | 25 |
No |
| Resit In | Terminal Exam |
|---|---|
| Spring | Yes - 2 Hour |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Self-assessment activities
Not yet recorded.
| Name | Role |
|---|---|
| Dr Claire McGuinness | Lecturer / Co-Lecturer |
| Autumn | Lecture | Offering 1 | Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 | Wed 12:00 - 13:50 |
| Autumn | Tutorial | Offering 1 | Week(s) - 4, 5, 6, 7 | Wed 10:00 - 10:50 |
| Autumn | Tutorial | Offering 2 | Week(s) - 4, 5, 6, 7 | Wed 11:00 - 11:50 |