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Curricular information is subject to change
What will I learn?
On completion of this module, you should be able to: 1. Identify the key social policy data sources that are available online for Ireland and the EU; 2. Understand what kinds of information those sources contain; 3. Access these sources and locate information within them on particular social policy topics; 4.Extract and download data on these topics; 5. Use Excel spreadsheets to organise the data and present them in graphs and tables; 6. Apply basic descriptive statistics in Excel; 7. Write short descriptive accounts of what the data reveal.
How will I learn?
The course will be delivered fully online in 20/21. The online delivery is a mix of pre-recorded lectures, live Q&A sessions, hands-on computer workshops with live online support.
The key aim of the module is to introduce students to social science data analysis. Throughout the module the main example are drawn from analysing the labour market which includes unemployment, education level, gender pay gap, occupational segregation, female managers and the effects of Covid-19 on employment levels. With a focus on Ireland all data analysis has a European perspective.
Student Effort Type | Hours |
---|---|
Lectures | 10 |
Computer Aided Lab | 5 |
Specified Learning Activities | 45 |
Autonomous Student Learning | 40 |
Total | 100 |
To learn about the power of stats watch this video:
https://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: End of semester assignment | Week 12 | n/a | Graded | No | 65 |
Assignment: Mid semester assignment | Week 8 | n/a | Graded | No | 25 |
Continuous Assessment: Submission of produced graph at the end of each data analysis workshop. Submission up to 1hour after workshop. To | Throughout the Trimester | n/a | Pass/Fail Grade Scale | No | 10 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
The mid-term assignment will develop your analytical and writing skills with detailed feedback to improve data analysis. The final assignment asks for a more comprehensive and advanced data analysis and the previous feedback should be considered. In the data analysis workshops oral feedback is provided, but there will be no feedback on the submission of workshop outcomes.
Name | Role |
---|---|
Ausra Cizauskaite | Tutor |