Design of Experiments

UZH

Enrollment is Closed

About This Course

The learning outcomes of this course are

the basic terminology
the importance
and the components of the design of an experiment
knows when and where to get external help

The course contains preparatory, online homework and in-class lectures and practical components and a post-course homework

Requirements

Basic knowledge of R, some background in statistics.

Course Staff

Staff Member

Dr. Paulin Jirkof (3R Coordinator, Dept. Animal Welfare & 3R, UZH); Prof. Dr. Hanno Würbel (Head of Animal Welfare Division, Unibe); Dr. Bernadetta Tarigan (Dept. of Animal Welfare and 3R, UZH Applied Statistics Group, Dept. of Mathematics, UZH); MSc. Servan Grüninger (Applied Statistics Group, Dept. of Mathematics, UZH); Prof. Dr. Reinhard Furrer (Head of Applied Statistics Group, Dept. of Mathematics, UZH)

Frequently Asked Questions

Is this course a regular UZH module?

This course complements the regular module BME321. For details see UZH Course Catalogue.

Do we meet onsite/on campus?

Indeed we have the following rooms reserved:

Tuesday 08-17 08.02.2022 Y24-G-45
Wednesday 08-17 09.02.2022 Y24-G-55
Thursday 08-17 10.02.2022 Y24-G-55

Wednesday is reserved for group exercise and personal work.

Do I have to attend the on-site class?

Absolutely, this component brings only supplementary material. There will be further discussions, presentations and work done on-site.

Do I need a particular software or software knowledge

No. The lecture is given without software practicals from you.

Is there a final exam?

No. For credits, you need to hand in a final project. Details will be announced during the online lecture.