Es ist eine neuere Version 2015W dieser LV im Curriculum Masterstudium Wirtschaftsinformatik 2015W vorhanden.
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
3 ECTS
B2 - Bachelor 2. Jahr
Informatik
Sepp Hochreiter
2 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Bachelorstudium Bioinformatics 2013W
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