Inhalt

[ 875BIMLMDAK16 ] KV (*)Basic Methods of Data Analysis

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M1 - Master 1. Jahr Bioinformatik Sepp Hochreiter 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Bioinformatics 2016W
Ziele (*)Data analysis and visualization are essential to most fields in science and engineering. The goal of this course is to provide students with a basic tool chest of methods for pre-processing, analyzing, and visualizing scientific data.
Lehrinhalte (*)
  • Scatter plots and box plots
  • Basics of classification
  • Basics of regression
  • ANOVA
  • Clustering
  • Principal component analysis (+ visualization, including spectral maps)
  • Singular value decomposition (+ visualization)
  • Matrix factorization (+ visualization)
  • Independent component analysis
Beurteilungskriterien (*)The final grade is based on a combined assessment of homework and a final exam.
Lehrmethoden (*)Slide presentations complemented by online demos and examples presented on the blackboard; demos are based on the scientific computing platform R
Abhaltungssprache Englisch
Literatur (*)Electronic course material and example code are made available for download
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)675MLDAMDAK13: KV Basic Methods of Data Analysis (3 ECTS)
Frühere Varianten Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
675MLDAMDAK13: KV Basic Methods of Data Analysis (2013W-2016S)
Präsenzlehrveranstaltung
Teilungsziffer 35
Zuteilungsverfahren Direktzuteilung