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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

Course Staff Image #1

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.