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401-0625-01L 5 Credits BSC , DR , MSC , WBZ D-USYS , D-MATH , D-ITET , D-MAVT , D-INFK , D-BIOL , D-HEST

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Applied Analysis of Variance and Experimental Design

Lecturers & Examiners: Dr. Lukas Meier

VVZ CR 4.6

Last Updated: 2026-02-05 16:01:24

Abstract

Principles of experimental design, one-way analysis of variance, contrasts and multiple comparisons, multi-factor designs and analysis of variance, complete block designs, Latin square designs, random effects and mixed effects models, split-plot designs, incomplete block designs, two-series factorials and fractional designs, power.

Objective

Participants will be able to plan and analyze efficient experiments in the fields of natural sciences. They will gain practical experience by using the software R.

Content

Resources

Literature

G. Oehlert: A First Course in Design and Analysis of Experiments, W.H. Freeman and Company, New York, 2000.

Learning Materials (Links)

Main link
Moodle

General Information

Language: English
Levels: BSC , DR , MSC , WBZ
Frequency: Yearly recurring

Examination

Type: session examination
Mode: written 120 minutes
Aids: 5 hand- or typewritten A4 papers (can be written on both sides). Pocket calculator. No communication devices (cell phone, WLAN, etc.).

Course Components

Type	Title	Time & Place	Hours
lecture	Applied Analysis of Variance and Experimental Design	Mon 14:15-16:00 (HG G 5)	2 h weekly
exercise	Applied Analysis of Variance and Experimental Design	Mon 16:15-18:00 (HG E 1.1)	1 h weekly

Offered In

Computer Science Bachelor
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Mathematics Bachelor
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Environmental Sciences Bachelor
- Highly recommended Natural Science and Technical Electives
  - For the Specialization in Human-Environment Systems
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  - Methodes of Statistical Data Analysis
Mathematics Master
- Electives (For the Master's degree in Applied Mathematics the following additional condition (not manifest in myStudies) must be obeyed: At least 15 of the required 28 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields.)
  - Electives: Applied Mathematics and Further Application-Oriented Fields (¬)
    - Selection: Probability Theory, Statistics
Biology Master
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  - Elective Major: Ecology and Evolution
    - Elective Compulsory Master Courses
Food Science Master
Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
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  - Applied Statistics
Doctorate Mechanical and Process Engineering (More Information at: )
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Data Science Master
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DAS in Data Science
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Interdisciplinary Brain Sciences Master
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