Assessment: Understanding Big Data for Public Policy (PPMN90055)

Assessment

Description	Timing	Percentage
Case study precis of a big data problem as applied to a public policy issue 1500-2000 words	2 Weeks after the end of teaching	40%
Ethical and Bureaucratic issues with big data in public policies, large review of key literature and cases 3500-4000 words	4 Weeks after the end of teaching	60%
Hurdle requirement: Students are required to attend 100% of classes in order to pass this subject and regular class participation is expected.	Throughout the teaching period	N/A

Description

Timing

Percentage

Case study precis of a big data problem as applied to a public policy issue

2 Weeks after the end of teaching

40%

Ethical and Bureaucratic issues with big data in public policies, large review of key literature and cases

4 Weeks after the end of teaching

60%

Hurdle requirement: Students are required to attend 100% of classes in order to pass this subject and regular class participation is expected.

Throughout the teaching period

N/A

Last updated: 10 November 2019