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Protection des données & respect de la vie privéeEA Big Data et IA (STI)
Data Protection & Privacy Compliance
Teaching unit Advanced Track: Big Data and AI · S08T_BDA1 | EC Code S08A_BD1-2
6ECTS (EU)
1Coefficient
21:20Hours
Séquencement
↳ Clemente Patrice
↳ Nguyen Benjamin
Learning objectives
Understanding the issues of personal data protection in a context of growing data analysis (Big Data). Be able to perform a tabular data anonymization process. Be able to carry out a Private Life Impact Study (PIA). Be able to perform a classification or clustering data analysis with respect to privacy.
Prerequisites
| Module | Teaching unit | Semester |
|---|---|---|
| Databases | Development and Mathematics for Engineers | S6 |
Program
- GBS Security: Encryption, Access Control
- Data analysis: Classification and clustering
- Anonymous
- Differential confidentiality
- Private Life Impact Study
Assessment
- Final examination + Impact assessment
References
Skills
4| Ref. | Verb | Description | Level |
|---|---|---|---|
| C1_1 | solve | a problem of analysis (classification and clustering) of personal data | 3 |
| C1_4 | write | a Privacy Impact Assessment (PIA) | 2 |
| C1_4 | implement | encryption of a database | 3 |
| C2_1 | implement | anonymization of a database | 3 |
SecNumEdu Skills
| Skill | Lecture hours | Practical hours | Entry level | Exit level |
|---|---|---|---|---|
| Database security | 8.66 | 8.66 | 1 | 2 |
| SGBD Security: Encryption, Access Control, Data Analysis: Classification and Clustering, Anonymization, Differential Privacy, Privacy Impact Study | ||||
| Social and societal aspects | 2 | 2 | 0 | 1 |
| Social engineering, phishing, privacy. | ||||