401-0625-01L Applied Analysis of Variance and Experimental Design
| Semester | Autumn Semester 2023 |
| Lecturers | L. Meier |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 447-0625-01 V | Applied Analysis of Variance and Experimental Design I The course unit 447-0625-01L is offered 2-yearly (Autumn Semester in odd years). The course unit 401-0625-01L is offered yearly (Autumn Semester). In the Autumn Semester 2024, the course 401-0625-01 V will take place, but not 447-0625-01 V. | 14s hrs |
| L. Meier | |||
| 447-0625-02 V | Applied Analysis of Variance and Experimental Design II The course unit 447-0625-02L is offered 2-yearly (Autumn Semester in odd years). The course unit 401-0625-01L is offered yearly (Autumn Semester). In the Autumn Semester 2024, the course 401-0625-01 V will take place, but not 447-0625-02 V. | 12s hrs |
| L. Meier | |||
| 401-0625-01 U | Applied Analysis of Variance and Experimental Design | 1 hrs |
| L. Meier |
Catalogue data
| 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. | |||||||||||||||
| Learning 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. | |||||||||||||||
| Literature | G. Oehlert: A First Course in Design and Analysis of Experiments, W.H. Freeman and Company, New York, 2000. | |||||||||||||||
| Prerequisites / Notice | The exercises, but also the classes will be based on procedures from the freely available, open-source statistical software R, for which an introduction will be held. | |||||||||||||||
Competencies |
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Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 5 credits |
| Examiners | L. Meier |
| Type | session examination |
| Language of examination | English |
| Repetition | The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. |
| Mode of examination | written 120 minutes |
| Written aids | 5 hand- or typewritten A4 papers (can be written on both sides). Pocket calculator. No communication devices (cell phone, WLAN, etc.). |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |
Learning materials
| Learning environment | Moodle |
| Only public learning materials are listed. | |
Groups
| No information on groups available. |
Restrictions
| There are no additional restrictions for the registration. |