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Applied Analysis of Variance and Experimental Design
Last Updated: 2026-02-05 15:36:20
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.
General Information
- Language
- English
- Levels
- BSC , DR , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- 10 hand- or typewritten A4 pages (= 5 sheets 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
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
2 h weekly |
| exercise |
Applied Analysis of Variance and Experimental Design
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
1 h weekly |
Offered In
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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 15 of the required 28 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields.)
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Electives (The entire course programs of ETH Zurich and Universitiy Zurich are open to the students to individual selection. The students have themselves to check whether they meet the admission requirements for a course.)
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Recommended Electives of Master Degree Programme (Students having enroled for 851-0703-03 earlier (i.e. bachelor's degree programme or as additional requirement for master's degree programme) cannot enrol for this again during master's degree programme.)
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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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Core Courses (In each subject area, the core courses offered are normally mathematical as well as application-oriented in content. For each subject area, only one of these is recognised for the Master degree.)
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Doctoral Department of Mechanical and Process Engineering (More Information at: )
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