Module overview
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Choose appropriate methods of statistical disclosure control for particular types of data and situations, and apply them by hand in simple situations
- Describe the trade-offs between privacy and openness, and how they affect the choices of policies and procedures surrounding confidentiality protection
- Evaluate and critique the different disclosure control methods depending on the type of statistical output (microdata or tabular data) with respect to the amount of protection afforded, and the impact on the quality of both the data and the analyses that can be done with them
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Independent Study | 60 |
| Teaching | 15 |
| Total study time | 75 |
Resources & Reading list
Internet Resources
Handbook on Statistical Disclosure Control, Version 1.1..
Textbooks
Doyle, P., Lane, J., Theeuwes, J. and Zayatz, L. eds. (2001). Confidentiality, Disclosure and Data Access. Amsterdam: North Holland.
Willenborg, L. and de Waal, T. (2001). Elements of Statistical Disclosure Control. New York: Springer.
Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, S., Schulte-Nordholt, E., Spicer, K. and De Wolf, P.P (2012). Statistical Disclosure Control.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |