Data science and ethics

News

Participation

The course "data science and ethics" (lecture and exercise) is part of the elite studies data science and not open to the public.

Dates & times

The lecture and exercises takes place virtually, Tuesday 14-16h.

Lecture

• 03.11.20: Introduction & motivation
• 10.11.20: no lecture
• 17.11.20: Information security I
• 24.11.20: Information security II
• 01.12.20: Information security III & theoretical assignment

Exercises

• 08.12.20 Theoretical assignment due, discussion & beginning of exercises (mini-projects)
• Working in groups
• One (practical) assignment per group
• 22.12.20 Jour Fixe
• 24.01.21 projects due

Exam

• 26.01.21 Exam: presentations of results of mini-projects

Material

Any presentation material and assignment will be made available here. Please note that you need a username and password as given in the first lecture in order to access the slides.

Slides

• Presentation material / slideset (last update: 16.11.2020)

Assignments

• Interim exercise (due: 24.01.2021)
• Project proposals
• 1. How To Break Anonymity of the Netflix Prize Dataset (advanced!)
  Material:
  • Robust De-anonymization of Large Sparse Datasets by Arvind Narayanan and Vitaly Shmatikov
  • Netflix dataset (11b_Netflix_dataset.tgz)
• 2. The Netflix Prize
  Material:
  • http://www.netflixprize.com/rules.html
  • 11b_Netflix_dataset.tgz
• 3. Browser-Tracking
• 4. Homomorphic encryption: Game of Life
  Material:
  • Microsoft Simple Encrypted Arithmetic Library (SEAL)
  • http://sealcrypto.codeplex.com/
• 5. Homomorphic encryption: Matrices
  Material:
  • Microsoft Simple Encrypted Arithmetic Library (SEAL)
  • http://sealcrypto.codeplex.com/
  • 13b_MS-SEAL.h

Contact

For questions or inquiries please contact Nils gentschen Felde via email at felde@nm.ifi.lmu.de.