650.035 (24S) Responsible Engineering of Artificial Intelligence and Cybersecurity Systems

Sommersemester 2024

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Erster Termin der LV
06.03.2024 13:30 - 15:00 N.2.38 On Campus
Nächster Termin:
08.05.2024 13:30 - 15:00 N.2.38 On Campus

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

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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

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

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 Benotungsschema

Position 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
  • 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

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)