BTLW002296 Introduction to algorithms in bioinformatics (in Eng.)
- Art
- Vorlesung und Übung
- Semesterstunden
- 3
- Vortragende/r (Mitwirkende/r)
- Sandell, Felix Leopold
- Organisation
- Bioverfahrenstechnik
- Angeboten im Semester
- Wintersemester 2025/26
- Unterrichts-/ Lehrsprachen
- Englisch
- Lehrinhalt
-
This course introduces important algorithms used in computational biology, with attention to both their underlying theoretical concepts and practical applications. Topics include dimensionality reduction techniques such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), machine learning methods based on decision trees (Random Forest and gradient boosting) and core methods in genomics, including genome mapping and variant calling. Students will learn to implement the basic concepts of these algorithms in Python, building both a solid understanding of the theoretical concepts and the programming skills needed to apply them.
- Inhaltliche Voraussetzungen (erwartete Kenntnisse)
-
Basic knowledge in python programming (e.g. Introduction to programming, Programming with Python) and basic Linux knowledge (e.g. Computing skills for biotechnology).
- Lehrziel
-
By the end of the course, students will be able to explain the principles of selected algorithms in computational biology and implement basic versions of them in Python.
able to interpret results of these tools appropriately.
Noch mehr Informationen zur Lehrveranstaltung, wie Termine oder Informationen zu Prüfungen, usw.
finden Sie auf der Lehrveranstaltungsseite in BOKUonline.