Es ist eine neuere Version 2015W dieser LV im Curriculum Master's programme Business Informatics 2015W vorhanden.
(*) Unfortunately this information is not available in english.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
B2 - Bachelor's programme 2. year
Computer Science
Sepp Hochreiter
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Bachelor's programme Bioinformatics 2013W
Objectives
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.
Subject
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
Criteria for evaluation
The final grade is based on a combined assessment of homework and a final exam.
Methods
Slide presentations complemented by online demos and examples presented on the blackboard; demos are based on the scientific computing platform R
Language
English
Study material
Electronic course material and example code are made available for download