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Biodata Science (BT_MA20_2_12)

Studiengang
  • Masterstudiengang Biotechnologie
Kennzahl der Lehrveranstaltung
  • BT_MA20_2_12
Niveau der Lehrveranstaltung laut Lehrplan
  • Master
Studienjahr
  • Spring 2024
Semester in dem die Lehrveranstaltung angeboten wird
  • 2
Anzahl der zugewiesenen ECTS-Credits
  • 4.0
Name des/der Vortragenden
  • Mag. Felderer Stefan, BSc MSc
  • Mutschlechner Mira, Bakk. Biol. MSc
  • Assoz. FH-Prof. Jahn Alexander, PhD
Lernergebnisse der Lehrveranstaltung
  • Derzeit nur in Englisch verfügbar
    Students get an overview on data structures and data formats commonly used in bioinformatics and biotechnology. They will deepen their skills in analysing big amounts of data and in extracting the most valuable pieces of information. Machine learning methods as a handy technique to accomplish these goals are also covered in this course.
    Imaging methods are widely used in medicine and molecular biology. Thus, bioimages represent a key data source in those fields and therefore students will analyse images with ImageJ / Fiji.
Art der Veranstaltung
  • face-to-face
empfohlene optionale Programmeinheiten
  • Derzeit nur in Englisch verfügbar
    none
Lehrinhalte
  • Derzeit nur in Englisch verfügbar
    Data Science:
    - Data formats
    - Collection, preparation and revision of data
    - Data visualization
    - Statistical analysis of data
    - Right choice of complexity
    Medical Image Analysis and Visualization
    Machine Learning:
    - Supervised vs unsupervised methods
    - Linear models
    - Treebased models
    - Neural networks
    - Statistical Machine Learning
empfohlene Fachliteratur
  • Derzeit nur in Englisch verfügbar
    > Lantz B (2019). Machine Learning with R. Third edition. Birmingham: Packt Publishing

    > R Core Team (2021). 'An Introduction to R'. Online ressource: https://cran.r-project.org/doc/manuals/r-release/R-intro.html

    > Gonzalez R, Woods R (2008) Digital Image Processing. Third edition. New Jersey: Pearson Education.
    > Miura K et al. (2016) Bioimage Data Analysis. Weinheim: Wiley-VCH. Online ressource: https://analyticalscience.wiley.com/do/10.1002/was.00050003/full/bioimagedataanalysis.pdf
Lehr- und Lernformen
  • Derzeit nur in Englisch verfügbar
    ILV – lecture with practical exercises
Prüfungsmethode
  • Course immanent examination
  • There will be several assignments and presentations (most of the time in small groups) during the course, but no written exam.
Unterrichtssprache
  • English
Praktikum
  • none
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