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Curricular information is subject to change
A student that successfully completes the course should be able to:
1. Evaluate the methods used by published work
2. Learn how a research project is deisgned
3. Acquire statistical and graphical skills
Data types and their presentation
Descriptive analysis
Graphing and mapping
Sampling
Questionnaire design
Inferential statistics
Student Effort Type | Hours |
---|---|
Lectures | 20 |
Autonomous Student Learning | 80 |
Total | 100 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: This is the first of the assignments related to reserach methods. It will focus on reveiwing published papes and complte a descriptive analysis of a database. | Week 5 | n/a | Graded | No | 40 |
Multiple Choice Questionnaire: Evaluation of material in course | Week 10 | n/a | Alternative non-linear conversion grade scale 50% | No | 20 |
Assignment: Exercise on inferential statistcis | Week 10 | n/a | Graded | No | 40 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.