Universität Wien FIND

300053 SE Principles of multivariate statistics for biologists (2016S)

autonoms development of computer programs

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Seminar DI, 10 Uhr c.t. - 13 Uhr, Übungsraum 2, UZA 1, Althanstrasse 14.

Bitte bringen Sie, wenn es Ihnen möglich ist, einen Laptop (netbook) zum SE mit.

BITTE BEACHTEN: Die primäre Vortragssprache ist DEUTSCH! Nur, wenn es für die SeminarteilnehmerINNEN erforderlich ist, kann auch eine Kurzfassung bzw. Erklärung der wichtigsten Verfahren auf Englisch gegeben werden!

Details

max. 8 participants
Language: German, English

Lecturers

Classes

Die Vorbesprechung findet am 08.03.2016 um 10 Uhr im Seminarraum des Departments für Theoretische Biologie statt (persönliche Anmeldung erforderlich).
LV DI von 10 Uhr c.t. - 13 Uhr im Übungsraum 2, UZA 1, Biozentrum Althanstraße 14

Termine: 19.04.2016, 26.04.2016, 03.05.2016, 10.05.2016, 24.05.2016, 31.05.2016, 07.06.2016, 14.06.2016 und 28.06.2016 (Zusatztermin).


Information

Aims, contents and method of the course

The course should represent an introduction to the theoretical principles of selected multivariate-statistical methods for the analyses of biometrical data, and is mainly intended for advanced students with previous knowledge in biometry and basic statistics. It is planned that the representations of the theoretical principles will be followed by the practical work of autonomously creating computer programm macros under technical guidance ('learning by doing'; preferred primary computer packages: Openoffice calc, Gnumeric). Out from the following list some topics will be explained in detail: biometric variables, data transformations, variance, covariance and correlation, multivariate representation of variance-covariance and correlation (matrices, vectors), simple and multiple linear regression analysis, partial regression and correlation, linear compounds, character space - Euclidean vs. MAHALANOBIS distances, principal components analysis (e.g., eigenvector, eigenvalue, total variance), factor analyses, factor space, ordination techniques, linear discriminant analyses, discriminant space, identification analysis.

Assessment and permitted materials

Controlling of cooperation during training courses -
Grading system: number of successfully completed courses = final grade
4 courses = grade 4
5 courses = grade 3
6 courses = grade 2
> 6 courses = grade 1

Minimum requirements and assessment criteria

Grading system: number of successfully completed courses = final grade
4 courses = grade 4
5 courses = grade 3
6 courses = grade 2
> 6 courses = grade 1

Examination topics

Reading list

(1) Jürgen Bortz und Christof Schuster: Statistik für Human- und Sozialwissenschaftler (Lehrbuch mit Online-Materialien). Springer, Berlin
(2) Donald F. Morrison: Multivariate Statistical Methods. McGraw-Hill

Association in the course directory

MZO W-4, MEV W-3, M-WZB

Last modified: Fr 31.08.2018 08:56