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#40880 / #4

Seit SoSe 2022

English

Privacy Engineering

9

Pallas, Frank

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361400 FG Wirtschaftsinformatik - Information Systems Engineering (ISE)

No information

Kontakt


EN 14

Junker, Ariane Helene Renate

lehre@ise.tu-berlin.de

Learning Outcomes

Students are able to... - Reproduce and explain core concepts and principles of privacy as conceived in different domains (esp. law, technology, and philosophy) - Name and explain constitutive concepts, methods and frameworks of Privacy Engineering - Name and explain technological approaches to privacy currently present in the scientific discourse and discuss them in relation to current non-technical research - Practically implement current technical mechanisms serving different privacy goals in complex information systems - Develop and prototypically implement own approaches to current, yet unsolved privacy challenges - Evaluate and critically examine their solutions against other, potentially conflicting goals (e.g., performance) - Present and explain their solutions orally and in written form

Content

The course provides a comprehensive overview of the field of “Privacy Engineering” and in-depth knowledge on technical concepts and mechanisms for achieving non-technical (legal, ethical, …) privacy goals. It builds upon state-of-the-art in privacy-related technologies combined with solid foundational knowledge from other domains and explores advancements over the existing state of Privacy Engineering through new theoretical insights and applied research. Covered topics, concepts and technologies particularly include: - Foundations of Privacy (historical & philosophical) - Privacy Law (EU-GDPR etc.) - Privacy by Design, Privacy Engineering & respective Methods / Frameworks - Advanced Privacy Concepts (e.g., Usable Privacy, Behavioral Privacy, Privacy Economics, etc.) - Broad range of constantly emerging state-of-the-art privacy technologies (e.g., cryptographic foundations, k-anonymity, l-diversity, P3P, XACML, sticky policies, property-preserving encryption, secure multiparty computation, blockchain technologies, …) - Structured performance / effort evaluation

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Privacy EngineeringIVSoSeEnglish6

Workload and Credit Points

Privacy Engineering (IV):

Workload descriptionMultiplierHoursTotal
Programming Project1.0130.0h130.0h
Preparation and Postprocessing1.0100.0h100.0h
Lecture / Lab Time (may be offered online)20.02.0h40.0h
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

The course is offered as “integrated classroom learning” comprising lectures, reading assignments, student presentations, and lab-based implementation. Students are required to acquire in-depth knowledge on select aspects through thorough self-study of current literature.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

- Knowledge on programming distributed systems in different languages (Java, Python, …) is required, - interest and first experiences in non-technical aspects of privacy are helpful

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable assessment) Reading Assignment20practicalbis zu 5 Paper
(Deliverable assessment) Prototype Implementation40practical130 h
(Deliverable assessment) Final Presentation10practical20 min
(Examination) Final Test30written40 min

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

Will be announced at the beginning of the course and at http://www.ise.tu-berlin.de/menue/lehre/

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)115SoSe 2022SoSe 2024
Computer Science (Informatik) (M. Sc.)115SoSe 2022SoSe 2024
Elektrotechnik (M. Sc.)110SoSe 2022SoSe 2024
ICT Innovation (M. Sc.)115SoSe 2022SoSe 2024
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)110SoSe 2022SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)15SoSe 2022SoSe 2024

Miscellaneous

No information