| Department of Large Animal Sciences
5 % Department of Basic Science and Environment 95 % | |||||||||||||
| Earliest Possible Year | Post experience Master´s Programme | ||||||||||||
| Duration | Outside schedule | ||||||||||||
| Credits | 9 (ECTS) | ||||||||||||
| Course Level | Post experience masters programme Module 1 in the Master Programme in Veterinary Public Health | ||||||||||||
| 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 of the project. pass/fail, external examiner | ||||||||||||
| Organisation of Teaching | The course includes lectures and exercises at a ratio of 1:1. | ||||||||||||
| Block Placement | Outside schedule Week Structure: Outside schedule, The course lasts 9 full days during a period of 9 days, plus project and exam Class room and computer lab | ||||||||||||
| Teaching Language | English | ||||||||||||
| Mandatory Prerequisites | The participant is required to have completed a relevant basic education, e.g. veterinary or biological sciences | ||||||||||||
| Restrictions | 18 | ||||||||||||
| Course Contents | |||||||||||||
| 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 is used extensively for analysis of examples, and participants should have access to SAS 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 | |||||||||||||
| Lectures, seminars, theoretical and practical exercises including use of computers. The typical arrangement is lectures for the first half of the day and individual coursework with exercises the second half. | |||||||||||||
| 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 valitity and reliability of the statistical results in relation to generalising to other populations than just the study population. | |||||||||||||
| Course Litterature | |||||||||||||
| Altman DG: Practical Statistics for Medical Research. Chapman & Hall, London. 1991. | |||||||||||||
| Course Coordinator | |||||||||||||
| Torben Martinussen, torbenm@dina.kvl.dk, Department of Natural Sciences/Statistik, Phone: 35332344 | |||||||||||||
| Attendance Fee | |||||||||||||
| DKK 9000 | |||||||||||||
| Study Board | |||||||||||||
| Study Committee MSN | |||||||||||||
| Course Scope | |||||||||||||
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