650.035 (24S) Responsible Engineering of Artificial Intelligence and Cybersecurity Systems
Überblick
- Lehrende/r
- LV-Titel englisch Responsible Engineering of Artificial Intelligence and Cybersecurity Systems
- LV-Art Seminar (prüfungsimmanente LV )
- LV-Modell Präsenzlehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 6.0
- Anmeldungen 14 (15 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 06.03.2024
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
This seminar works around the theme of "social, ethical and legal" (SEL) aspects of AI and Cybersecurity.
The course will do this via exploring and practicing principles from responsible research and innovation. Initially the lecturers will introduce these skills and principles, and we will do individual, pair and/or group exercises to try them out..
Upon successful completion of this course students will be able to:
- explain the principles behind responsible research and innovation
- name and utilise skills underpinning responsible research and innovation
- apply these skills to a given case study in the context of AI and Cybersecurity.
Lehrmethodik
- presentations by lecturers
- discussions
- individual, pair and group work
- presentations by students
- reading
Inhalt/e
Responsible research and innovation (skills and theory) with a particular focus on covering SEL aspects.
Erwartete Vorkenntnisse
You should either be enrolled in or have successfully completed the SEL course (Social, Ethical and Legal Aspects of Artificial Intelligence and Cybersecurity), or something equivalent.
Prüfungsinformationen
Prüfungsmethode/n
Presentation / Video or Podcast or other media as discussed
Prüfungsinhalt/e
Content of the course
Beurteilungskriterien/-maßstäbe
Active participation, quality of contributions in discussion and presentation/ video / podcast / other media.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
-
Fach: Responsible Innovation
(Wahlfach)
-
5.2 Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (
0.0h SE / 6.0 ECTS)
- 650.035 Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (2.0h SE / 6.0 ECTS) Absolvierung im 2. Semester empfohlen
-
5.2 Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (
0.0h SE / 6.0 ECTS)
-
Fach: Responsible Innovation
(Wahlfach)
- Masterstudium Wissenschaft, Technik & Gesellschaft
(SKZ: 906, Version: 19W.1)
-
Fach: Wissen, Kultur, Digitalisierung
(Wahlfach)
-
5.2 Vertiefung: Wissen, Kultur, Digitalisierung (
0.0h SE / 4.0 ECTS)
- 650.035 Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (2.0h SE / 6.0 ECTS) Absolvierung im 3., 4. Semester empfohlen
-
5.2 Vertiefung: Wissen, Kultur, Digitalisierung (
0.0h SE / 4.0 ECTS)
-
Fach: Wissen, Kultur, Digitalisierung
(Wahlfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
Sommersemester 2023
- 650.035 SE Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (2.0h / 6.0ECTS)
-
Sommersemester 2022
- 650.035 SE Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (2.0h / 6.0ECTS)
-
Sommersemester 2021
- 650.035 SE Responsible Engineering of Artificial Intelligence and Cybersecurity Systems (2.0h / 6.0ECTS)