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Human-Centred Approaches and Technologies

Winter

HCAT

(in German: Human-Centred Approaches and Technologies )
Module-ID: FIN-INF-120490
Link: LSF
Responsibility: Ernesto William De Luca
Lecturer: Ernesto William De Luca / Susanne Schmidt
Classes:
  • Seminar / Projekt Human-Centred Approaches and Technologies
 
Applicability in curriculum: - M.Sc. INF: Informatik
- M.Sc. INGINF: Informatik
- M.Sc. WIF: Informatik
- M.Sc. DKE: Applied Data Science
- M.Sc. DE: Grundlagen Ingenieurwesen
- M.Sc. DE: Human Factors
- M.Sc. VC: Computer Science

Abbreviation

HCAT

Credit Points

6

Semester

Winter

Term

ab 1.

Duration

1 Semester

Language

english

Level

Master

Intended learning outcomes:

  • Understanding of scientific writing
  • Ability to evaluate scientific papers
  • Involvement in scientific conferences
  • Familiarity with online submission and review platforms
  • Business Plan, Pitch, Start Up feeling, Understanding of Human-Centred Approaches and Technologies

Content:

  • Scientific Writing
  • Understanding of Scientific Conferences
  • Reviewing Papers and related process
  • Conducting a comprehensive systematic research literature review
  • Evaluating research papers and the work of fellow students
  • Delivering a final presentation and paper, which could be presented on a conference event
  • Topics: Human-Centred Artificial Intelligence and Human-Centred Design, Eduaimonic Interaction Design, Legal AI, Ai and Leadership

Workload:
56 h contact time + 94h independent study + 30h project work

Pre-examination requirements: Type of examination: Teaching method / lecture hours per week (SWS):

Application with motivation Letter and Transcript of Record

Written report (Hausarbeit)

  • Seminar (2 SWS)
  • Project (2 SWS)
Prerequisites according to examination regulations: Recommended prerequisites:

keine

Machine Learning Information Retrieval Data Science Data Mining Fundamentals of Natural Language Processing Introduction to Deep Learning Human-Centred Artificial Intelligence Eudaimonic Interaction Design Human-Centred Natural Language Processing

Media: Literature:

  • V. Dignum, “Responsible Artificial Intelligence – How to Develop and Use AI in a Responsible Way”, Springer, 2019.
  • B. Shneiderman, “Human-Centered AI”, Oxford University Press, 2022.
  • A. Schmidt, “Interactive Human Centered Artificial Intelligence: A Definition and Research Challenges”.
  • S. Barocas et al., “Fairness and Machine Learning”, 2019.
  • Documents related to Certification as Professional for Usability and User Experience (CPUX) https://uxqb.org/en/documents/

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