| Responsible Department | Department of Basic Science and Environment | ||||||||||||
| Earliest Possible Year | Post experience Master´s Programme | ||||||||||||
| Duration | Outside schedule | ||||||||||||
| Credits | 9 (ECTS) | ||||||||||||
| Level of Course | Post experience masters programme | ||||||||||||
| Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: A written project report and oral presentation to all course participants pass/fail, external examiner Dates of Exam: 16 June 2010, Examination takes place 16-17 June 2010 | ||||||||||||
| Organisation of Teaching | The course is taught during April and May 2011 followed by writing and presentation of a project report. The teaching includes lectures and exercises at a ratio of 1:1. Further details at http://www.matfys.kvl.dk/stat/phdcourses/statvet/ | ||||||||||||
| Block Placement | Outside schedule Week Structure: Outside schedule, The course lasts 8 full days during a period of 8 weeks | ||||||||||||
| Language of Instruction | English | ||||||||||||
| Mandatory Prerequisites | The participant is required to have completed a relevant basic education, e.g. DVM plus minimum 2 years of professional experience | ||||||||||||
| Restrictions | 25 | ||||||||||||
| Course Content | |||||||||||||
| The student is introduced to a number of statistical techniques applied to biological examples. Topics covered are: Descriptive statistics, data types, elementary probability concepts, statistical distributions, comparison of two samples by parametric and nonparametric methods, t-tests, paired observations, basic design of experiments, basic analysis of frequency data, linear and multiple regression, analysis of variance, factorial experiments, analysis of covariance, logistic regression, longitudinal data. The statistical package SAS, or possibly JMP, is used extensively for analysis of examples, and participants should have access to the statistical software for their homework. Each participant brings a data set to be analysed; suitable data sets should be of moderate size and moderately complicated from a statistical point of view. The data set and its analysis is the subject of the project report written by each participant which is also presented at a seminar. | |||||||||||||
| Teaching and learning Methods | |||||||||||||
| The teaching on the course days switches between lectures and practical exercises including use of computers. The participants bring their own laptops with the statistical package installed, and are encouraged to work together in small groups. | |||||||||||||
| Learning Outcome | |||||||||||||
| At the end of the course it is expected that the participant have the following qualifications: Knowledge: Identify a statistical probem to be solved using relevant descriptive and analytical methods Skills: Collect data and evaluate the data quality and store data in a database. Select relevant statistical methods and analyse the data Competences: Collaborate scientifically with statisticians and other relevant scientists. Be able to evaluate the validity and reliability of the statistical results in relation to generalising to other populations than just the study population. | |||||||||||||
| Course Literature | |||||||||||||
| Altman DG: Practical Statistics for Medical Research. Chapman & Hall, London. 1991. Further references are listed in the course home page at http://www.matfys.kvl.dk/stat/phdcourses/statvet/ | |||||||||||||
| Course Coordinator | |||||||||||||
| Bo Markussen, bomar@life.ku.dk, Department of Basic Sciences and Environment/Statistik, Phone: 353-32339 Jens Frederik Gramstrup Agger, jfa@life.ku.dk, Department of Large Animal Sciences/Populationsbiology, Phone: 353-33013 | |||||||||||||
| Course Fee | |||||||||||||
| DKK 9000 | |||||||||||||
| Study Board | |||||||||||||
| Study Committee MSN | |||||||||||||
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