| Inst. for Grundvidenskab | |||||||||||||
| Tidligst mulig placering | Bachelor 1. år | ||||||||||||
| Varighed | En halv blok | ||||||||||||
| Pointværdi | 7.5 (ECTS) | ||||||||||||
| Kursustype | Bachelorkursus | ||||||||||||
| Eksamen | Sluteksamen skriftlig prøve Skriftlig auditorieeksamen Alle hjælpemidler tilladt Beskrivelse af eksamen: Four hours written exam. There are typically four problems to be answered. Vægtning: 100 % 13-skala, intern censur Eksamensdatoer: 22 June 2007 | ||||||||||||
| Rammer for undervisning | Lectures, exercises | ||||||||||||
| Blokplacering | Block 4b | ||||||||||||
| Undervisningssprog | Engelsk | ||||||||||||
| Kompetenceområder | |||||||||||||
| Competences obtained within basic science: Knowledge of basic types of statistical estimation, confidence intervals and statistical tests. Competences obtained within applied science: Knowledge of how statistical methods are used to analyse biological data. Competences obtained within Ethics & Values: Is aware of how statistics should be used to treat data without undue bias and subjective selection. | |||||||||||||
| Kursets målsætning | |||||||||||||
| The students will get some ideas on how statistics is used in planning and analysis of experiments. They should be able to understand simple statistical reasoning in the scientific literature, but they are not expected to able to carry out such analyses independently. The course also gives practical examples relevant in biology and some practice in the handling of data using a statistical computer program. | |||||||||||||
| Kursusindhold | |||||||||||||
| Basic concepts in probability and statistics: Descriptive statistics Binomial, Poisson and normal distributions Point estimation Hypothesis testing and interval estimation for one and two samples Statistical tests Regression analysis Contingency tables Basic analysis of variance Statistical methods in genetics Use of computer programs for statistical analysis | |||||||||||||
| Undervisningsform | |||||||||||||
| Lectures on basic concepts with examples from biology, in particular genetics and horticulture. Emphasis is placed on problem formulation, choice of statistical method and interpretation of the results from the statistical analysis. Classroom exercises with solving problems, many of which come from biology and experimental investigations.Examples of use of computers to perform statistical analysis. | |||||||||||||
| Litteraturhenvisninger | |||||||||||||
| Literature for the course to be decided. | |||||||||||||
| Kursusansvarlig | |||||||||||||
| Mats Erik Rudemo, mru@life.ku.dk, Institut for Grundvidenskab/Statistics, Tlf: 35332336 Helle Sørensen, helle@dina.kvl.dk, Institut for Grundvidenskab/Statistics, Tlf: 35332363 | |||||||||||||
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| Studienævn NSN | |||||||||||||
| Kursusbeskrivelsesomfang | |||||||||||||
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