Curricular information is subject to change.
On completion of this module, students will understand how to collect the kinds of data used by economists and how to use spreadsheets to analyse these data. Students will also be aware of some of the major problems that can occur when analysing economic data and how to avoid these problems. Students will be in a position to take further modules in statistics and econometrics where they can deepen their knowledge of economic data analysis.
| Student Effort Type | Hours |
|---|---|
| Lectures | 20 |
| Autonomous Student Learning | 90 |
| Total | 110 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Exam (In-person): Computer-based in-class exam using spreadsheet analysis. | Week 10 | Graded | No | 60 |
No |
| Group Work Assignment: Group work involving spreadsheet analysis and presentations. | Week 4, Week 5, Week 6, Week 7, Week 9 | Pass/Fail Grade Scale | No | 40 |
No |
| Resit In | Terminal Exam |
|---|---|
| Spring | No |
• Group/class feedback, post-assessment
I will place feedback on the assignment on Brightspace, including suggested solutions. I will give feedback on the student presentations in the lecture.