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Applied Analysis of Variance and Experimental Design
Last Updated: 2026-02-05 16:30:49
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
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.
Resources
Literature
G. Oehlert: A First Course in Design and Analysis of Experiments, W.H. Freeman and Company, New York, 2000.
Learning Materials (Links)
- Learning environment
- 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 |
|
2 h weekly |
| exercise | Applied Analysis of Variance and Experimental Design |
|
1 h weekly |
Offered In
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Micro- and Nanosystems Technology (Focus Coordinator: Prof. Christofer Hierold)
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Electives (For the Master's degree in Applied Mathematics the following additional condition (not manifest in myStudies) must be obeyed: At least 14 of the required 26 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields.)
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Minor Human Nutrition (The minor Human Nutrition can only be chosen in connection with the major in Food Science and Technology.)
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Minor Food Processing (The minor Food Processing can only be chosen in connection with the major in Nutrition and Health.)
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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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Doctorate Mechanical and Process Engineering (More Information at: )
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Elective Core Modules (Courses listed here take place at ETH Zurich. Further courses and a complete list of the Elective Core Modules can be found here: Please register for ETH-courses at ETH Zurich, for UZH-courses at UZH.)
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