Privacy Engineering and Privacy Enhancing Technologies - PETS
Title: | Privacy Engineering and Privacy Enhancing Technologies | |
Type: | Lecture with Exercise | |
Token / Number / Module number: | PETS / CS6936.000 / ? | |
Semester hours / Credits: | 3L+1E / 6ECTS | |
Lecturer: | ||
Tutor: | Henning Kopp, Ala'a Al-Momani | |
General schedule: | Lecture: Exercise: | |
Learning platform: | For the course the e-learning system Moodle is used. Please register here. | |
Grade bonus: | A grade bonus of 0,3 bzw. 0,4 is given if the lab is passed successfully. | |
Exams: | Oral exam by appointment |
Description and general information | |
Integration of module into courses of studies: | Informatik, M.Sc.: Praktische und Angewandte Informatik |
Modes of learning and teaching: | Lecture Privacy Engineering and Privacy Enhancing Technologies, 3L (Prof. Dr. Frank Kargl, Dr. Christoph Bösch) |
Module authority: | Prof. Dr. Frank Kargl, Dr. Christoph Bösch |
Language: | English |
Turn / Duration: | Every winter semester / one semester |
Requirements (contentual): | Security of IT-Systems |
Requirements (formal): | None |
Learning objectives: | Participants will become familiar with modern privacy engineering. Starting from conducting Privacy Impact Assessments (PIAs) and a privacy risk analysis to designing privacy-friendly architectures all the way to application of privacy strategies and privacy enhancing technologies, the course covers the full lifecycle of privacy-friendly system design. Beyond mere theoretical knowledge, participants will practice their freshly acquired knowledge in many scenarios-based exercises. |
Content: | The course briefly summarizes foundations of privacy and data protection as discussed in more depth in module 71126 ("Grundlagen des Datenschutzes und der IT Sicherheit''). This includes privacy strategies, privacy design patterns and many more. |
Literature: | Selected literature and online resources |
Course assessment and exams: | Oral (in case of many participants written) exam at the end of the semester; no further course assessment; grade bonus if lab passed successfully |
Grading: | Grade of the module exam |
Estimation of effort: | Active time: 60 h Preparation and evaluation: 120 h Sum: 180 h |