Universität Wien FIND

570005 WS Methods in Bioinformatics (2022W)

Prüfungsimmanente Lehrveranstaltung
VOR-ORT

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

    Termine

    The course takes place daily from 13.02.-24.02.2023 (Mo-Fr), 09:00-17:00h at the UBB SR 1.7.


    Information

    Ziele, Inhalte und Methode der Lehrveranstaltung

    This course on PhD candidate level requires substantial knowledge in computational biology and bioinformatics from your master studies. In this course we focus on state-of-the art methods for omics data analysis (e.g. meta/genomics, meta/transcriptomics, meta/proteomics), integration of heterogeneous data, statistical analysis and machine learning, genome-scale modeling. We address all areas of life as well as viruses. Participants will learn basic concepts of machine learning, including an introduction to the Python data science stack, as well as several specific methods and evaluation strategies. The lectures are supplemented by practical examples and discussions on current literature in the field of applied machine learning for biological problems. After the course, participants will be able to decide, whether a given biological problem can be tackled with machine learning. Further, participants will be able to assess the quality of machine learning approaches in the scientific literature. We welcome students to bring their projects to the course, as these can provide starting points for practical experiments in the course. For the entire course we will work on notebooks and on the Life Science Compute Cluster.

    Art der Leistungskontrolle und erlaubte Hilfsmittel

    Continuous assessment during the course by presentations of literature and presentation of own results from practical experiments.

    Mindestanforderungen und Beurteilungsmaßstab

    Active participation in the entire course is required for a positive result. The course will not be graded.

    Prüfungsstoff

    Understanding of methods, practical experiments, analysis and interpretation of results.

    Literatur

    Literature and material will be provided during the course.

    Zuordnung im Vorlesungsverzeichnis

    PhD 57

    Letzte Änderung: Fr 28.10.2022 10:30