Universitetet for miljø- og biovitenskap (UMB)
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Engelsk
| HFX300 |
Experimental Design and Analysis in Animal Science and Aquacualture |
| Course responsible |
Theo Meuwissen |
IHA |
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| Number of credits allocated |
5.0 |
| Language |
English |
| Limits for class size |
- |
| Semester/trimester |
| August block |
Autumn parallel |
January block |
Spring parallel |
June block |
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X |
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| Colour explanation: Red/yellow = teaching periods. The red period indicates when the teaching starts. |
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| Teachers |
Marie Lillehammer (Nofima) |
| Type of course |
30 hours. |
| Prerequisites |
Knowledge of statistics in the areas of variance analysis and regression. |
| Exam |
S |
| Assessment methods |
Duration of examination: 3 hours. The written examination has a weight of 100%. Use of course notes is allowed during the examination. An examiner is used for the examination assessment. |
| Grading |
A-F |
| Examination aids |
B2: distributed calculator, certain aids. |
| Nominal workload |
150 hours. |
| Course frequency |
Annually |
| Comment on frequency |
- |
| Teaching methods |
Lectures and computer lab.
Computer-supported learning is used during the computer lab. |
| Examiner |
An external examiner is used to ensure the quality of the examination, and thereby ensure that the quality of the course remains at a sufficiently high level. |
| Entrance requirements |
Special requirements in Science
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| Preferential right |
Students in animal science or aquaculture. Recommended for all students in animal science or aquaculture. |
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| Objective of course |
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The course shall increase the practical understanding and application of statistical techniques, that were taught in earlier statistics courses, to the practical situations in animal science and aquaculture.
The students shall be able to use, understand, and know the pros and cons of various statistical methods and designs that are used as part of their main master thesis. Also, the students should be able to critically judge the statistical methods used in research reports. |
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| Course contents |
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| The course treats: the choice of statistical models, statistical designs, registration and analysis of research data, estimation of treatment effects, their interactions, how to deal with residual variation, hypothesis testing applied to animal science and aquaculture, types of hypotheses. |
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| Syllabus |
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| The course builds upon a syllabus adapted for the course. |
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| Last updated |
2011-04-28 |
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