Beate Sick: Catalogue data in Spring Semester 2020

Name Prof. Dr. Beate Sick
Address
Universität Zürich
Hirschengraben 84
EBPI, Abteilung Biostatistik
8001 Zürich
SWITZERLAND
E-mailsickb@ethz.ch
DepartmentPhysics
RelationshipLecturer

NumberTitleECTSHoursLecturers
447-0102-01LApplied Multivariate Statistics I Restricted registration - show details
Only for DAS and CAS in Applied Statistics.
3 credits1V + 1UB. Sick
AbstractVisualization techniques, principal component analysis, MDS and t-SNE. Hierarchical clustering, k-means clustering.
ObjectiveMultivariate Statistics deals with joint distributions of several random variables. The course introduces the basic concepts and provides an overview of classical and modern methods of multivariate statistics and their applications.
447-0102-02LApplied Multivariate Statistics II Restricted registration - show details
Only for DAS and CAS in Applied Statistics.
3 credits1V + 1UB. Sick
AbstractSpecialized methods of multivariate statistics: Classification, tree-based models, support vector machines, neural networks.
ObjectiveMultivariate Statistics deals with joint distributions of several random variables. The course introduces more advanced concepts.