AI Ethics, Data Privacy, and Intellectual Property in IT
Winter
(in German: AI Ethics, Data Privacy, and Intellectual Property in IT )
Module-ID: FIN-INF-110510 |
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Abbreviation
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Credit Points 5 |
Semester Winter |
Term |
Duration 1 Semester |
Language english |
Level Bachelor |
| Link: | LSF |
| Limited accessability: | |
| Responsibility: | Dr. Laila Barqawi, Dr. Mohammad Abdallah |
| Lecturer: | Dr. Laila Barqawi, Dr. Mohammad Abdallah |
| Classes: |
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| Applicability in curriculum: | - B.Sc. INF: Informatik - Wahlpflicht - B.Sc. CV: Informatik - Wahlpflicht - B.Sc. WIF: Recht - Wahlpflicht - B.Sc. INF (bilingual): Informatik - Wahlpflicht |
Intended learning outcomes:
Students:
- can explain fundamental ethical principles.
- can appreciate ‘ACM’ and ‘IEEE’ professional ethics codes.
- can interpret the core provisions of the ‘GDPR’ and apply them to IT scenarios.
- can understand and identify IP rights and licensing types relevant to software and AI.
- can analyse how ethics, privacy, and IP are interrelated in IT innovation.
- can propose responsible approaches to real-world data and IP challenges.
Content:
- Ethics: professional integrity, fairness, and accountability in IT;
- Data Privacy: key data protection concepts and GDPR compliance;
- Intellectual Property (IP): ownership, licensing, and innovation in digital products.
Workload:
- Contact hours (lectures + activities): 52h
- Independent work (preparation + homework + project): 98h
| Pre-examination requirements: | Type of examination: | Teaching method / lecture hours per week (SWS): |
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None |
Hausarbeit (Homework and Presentation) |
Lectures (2 SWS) Exercise (2 SWS) |
| Prerequisites according to examination regulations: | Recommended prerequisites: |
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none |
| Media: | Literature: |
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Professional Ethics
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Comments:
Kurs für Wintersemester unklar, da Lehrauftrag