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Artificial Intelligence (Master of Science) >>

Projekt Biomedical Network Science (BIONETS)10 ECTS
(englische Bezeichnung: Project Biomedical Network Science)
(Prüfungsordnungsmodul: Projekt Biomedical Network Science)

Modulverantwortliche/r: David B. Blumenthal
Lehrende: David B. Blumenthal, und Mitarbeiter/innen


Start semester: WS 2021/2022Duration: 1 semesterCycle: halbjährlich (WS+SS)
Präsenzzeit: 60 Std.Eigenstudium: 240 Std.Language: Englisch

Lectures:

    • Project Biomedical Network Science
      (Projektseminar, 4 SWS, David B. Blumenthal et al., Kick-off meeting at the beginning of the semester. After that, weekly or bi-weekly individual meetings with the participants. Registration via StudOn until October 11, 2021: https://www.studon.fau.de/crs3922964_join.html; Preliminary meeting: 13.10.2021, 10:00 - 14:00 Uhr, 01.151-128)

Empfohlene Voraussetzungen:

Strong programming skills in any programming language.

Inhalt:

The Biomedical Network Science (BIONETS) lab investigates molecular disease mechanisms using techniques from combinatorial optimization, network science, and artificial intelligence. We also develop privacy-preserving decentralized biomedical AI solutions, which enable cross-institutional studies on sensitive data. Students will work on individual research topics within these field and develop prototypes of software tools to solve the addressed problems.

Lernziele und Kompetenzen:

Students will

  • develop and implement an algorithm for a problem within the field of biomedical networks science which, in certain respects, improves upon the state-of-the-art,

  • acquire hands-on experience in an emerging research field,

  • learn best practices in software development and documentation,

  • gain first experience in academic writing.

Literatur:

All relevant research literature will be made available in StudOn (https://www.studon.fau.de/crs3922964.html).

Organisatorisches:

Topics will be assigned in a first kick-off meeting, where students can either select from a list of proposed projects or propose their own ideas. Subsequently, students will have individual meetings with the lecturers on a weekly or bi-weekly basis.


Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

  1. Artificial Intelligence (Master of Science)
    (Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Projekt Biomedical Network Science)
Dieses Modul ist daneben auch in den Studienfächern "Informatik (Master of Science)", "Medizintechnik (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Projekt Biomedical Network Science (Prüfungsnummer: 76761)

(englischer Titel: Project Biomedical Network Science)

Prüfungsleistung, mehrteilige Prüfung, benotet, 10 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
weitere Erläuterungen:
Working prototype of a software tool (40% of grade), 20 min demonstration with the lecturers (20% of grade), a short scientific paper which describing the developed methodologies (40% of grade, 4 pages ACM style excluding references).
Prüfungssprache: Englisch

Erstablegung: WS 2021/2022, 1. Wdh.: SS 2022
1. Prüfer: David B. Blumenthal

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