| Department of Large Animal Sciences | |||||||||||||||||||
| Earliest Possible Year | BSc. 3 year to MSc. 2 year | ||||||||||||||||||
| Duration | One block | ||||||||||||||||||
| Credits | 7.5 (ECTS) | ||||||||||||||||||
| Course Level | Joint BSc and MSc | ||||||||||||||||||
| Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: Oral examination in curriculum based on the project report. There is no time for preparation at the examination Weight: Oral examination in curriculum and project report: 100% 7-point scale, internal examiner | ||||||||||||||||||
| Organisation of Teaching | In the first three weeks the course will be a combination of lectures and computer exercises. In the following 5 weeks, each day will be a combination of seminars and projects in groups using data from veterinary and animal sciences | ||||||||||||||||||
| Block Placement | Block 1 Week Structure: C | ||||||||||||||||||
| Teaching Language | English | ||||||||||||||||||
| Mandatory Prerequisites | 210005 Statistical Data Analysis 1 A basic course in statistics as: 210005 Statistisk Dataanalyse 1 210008 Basic Methematics and statistics 300043 Veterinært basiskursus - biostatistik -or a similar course | ||||||||||||||||||
| Restrictions | Max 30 participants, as intensive supervision is given to the groups during the project period | ||||||||||||||||||
| Course Contents | |||||||||||||||||||
| The course gives an extensice knowledge of analytical methods and epidemiological problems, of importance in relation to e.g. herd health management and preparing the master thesis. Agronomists, employed as consultants in animal production, will often collaborate with the veterinarian and the farmer. Therefore, it is of importance to have a common basis for evaluation of disease recordings. Specific topics: · Introduction and summary of the basic epidemiological topics · State objective and hypotheses for a study · Validate the study design and sampling methods · Data management · Evaluate bias and causality · More advanced epidemiological analyses | |||||||||||||||||||
| Teaching And Learning Methods | |||||||||||||||||||
| Be able to perform an analysis of a large data set in groups of approximate 3 participants · E.g. using your own data set · Consider possible problems in the study in relation to the results and the conclusion · Use SAS for statistical analyses · Make a project report. The course includes lectures and computer exercises as well as individual project work using data from veterinary and animial science (e.g. practices, laboratories, meat inspection) | |||||||||||||||||||
| Learning Outcome | |||||||||||||||||||
| The main objective of the course is to provide a platform for applied epidemiology with emphasis on performing an epidemiological study After completing the course the student should be able to: Knowledge: Identify an epidemiological problem to be investigated using a relevant descriptive and analytical methods Skills: Design a study, store data in a database, evaluate data quality. Use relevant epidemiological methods for analysis. Competences: Collaborate scientifically with epidemiologists and other relevant scientists. Be able to evaluate validity of epidemiological results and conclusions. | |||||||||||||||||||
| Course Litterature | |||||||||||||||||||
| Houe H, Ersbøll AK, Toft N (eds)(2004): Introduction to Veterinary Epidemiology. Biofolia | |||||||||||||||||||
| Course Coordinator | |||||||||||||||||||
| Annette Kjær Ersbøll, ake@life.ku.dk, Study and Students Affairs/PhD Administration and Statistics, Phone: 35333021 | |||||||||||||||||||
| Study Board | |||||||||||||||||||
| Study Committee NSN | |||||||||||||||||||
| Course Scope | |||||||||||||||||||
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