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Ausbildung

Integrating AI in Biomedical, Pharmaceutical, and Health Care Research (EDUC Programme)

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025

Lehrbeauftragte/r

  • Kvell Krisztián

    associate professor,
    Faculty of Health Sciences - Institute of Health Science, Department of Public Health

Semesterwochenstunden

Vorlesungen: 0

Praktika: 0

Seminare: 14

Insgesamt: 14

Fachangaben

  • Kode des Kurses: OPF-IAI-T
  • 1 kredit
  • Pharmacy
  • Optional modul
  • autumn
Voraussetzungen:

keine

Zahl der Kursteilnehmer für den Kurs:

min. 5 – max. 24

Erreichbar als Campus-Kurs für . Campus-karok: ETK GYTK TTK

Thematik

Students with background on computer engineering and pharmaceutics/biotechnology will collaborate on a project using AI on data related to biomedical or health technology. As technology revolutionizes healthcare, understanding the principles and applications of AI is crucial for advancing drug discovery, personalized medicine, and therapeutic development. The project is part of two courses running at University of Pécs (PTE) and University of South-Eastern Norway (USN).

Vorlesungen

Praktika

Seminare

  • 1.

    Recreuitment: Gathering Campus-credit students at PTE for EDUC course

    - Kvell Krisztián, Pál Szilárd
  • 2.

    Introduction: Meeting and information for all students interested in COIL

    - Kvell Krisztián, Pál Szilárd
  • 3.

    Start of project: Defining project, group members and project scope

    - Kvell Krisztián, Pál Szilárd
  • 4.

    Implementation I: Collect data

    - Kvell Krisztián, Pál Szilárd
  • 5.

    Implementation II: Develop working model

    - Kvell Krisztián, Pál Szilárd
  • 6.

    Implementation III: Finalize working model

    - Kvell Krisztián, Pál Szilárd
  • 7.

    Testing: Test the model and consider ethical dilemmas

    - Kvell Krisztián, Pál Szilárd
  • 8.

    Presentation: Present project online

    - Kvell Krisztián, Pál Szilárd
  • 9.

    Conclusion: Discussion and concluding remarks

    - Kvell Krisztián, Pál Szilárd
  • 10.

    Take home messages: Final discussion with Campus-credit students of PTE

    - Kvell Krisztián, Pál Szilárd
  • 11.

    Az EDUC kurzus tapasztalatainak összegyűjtése

    - Kvell Krisztián, Pál Szilárd
  • 12.

    Az EDUC kurzus tapasztalatainak elemzése

    - Kvell Krisztián, Pál Szilárd
  • 13.

    Az EDUC kurzus továbbfejlesztése

    - Kvell Krisztián, Pál Szilárd
  • 14.

    Az EDUC kurzus konklúzióinak egyeztetése hazai és nemzetközi, szakmai és adminisztratív partnereinkkel

    - Kvell Krisztián, Pál Szilárd

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Skript

Empfohlene Literatur

Explainable Artificial Intelligence for Biomedical Applications (River Publishers, ISBN: 978-8770228497, by Utku Kose, Deepak Gupta and Xi Chen)

Voraussetzung zum Absolvieren des Semesters

Successful project work and group presentation.

Semesteranforderungen

Written test on basics then project work.

Möglichkeiten zur Nachholung der Fehlzeiten

Project work is not time or space limited, maybe done at home, anytime.

Prüfungsfragen

Test questions will focus on basics, but project work presentation is decisive.

Prüfer

  • Kvell Krisztián
  • Pál Szilárd

Praktika, Seminarleiter/innen

  • Kvell Krisztián
  • Pál Szilárd
Rólunk