| Department of Large Animal Sciences | |||||||||||||
| Earliest Possible Year | Post experience Master´s Programme | ||||||||||||
| Duration | Outside schedule | ||||||||||||
| Credits | 5 (ECTS) | ||||||||||||
| Course Level | Post experience masters programme Module 3C, Masterprogramme in Veterinary Public Health | ||||||||||||
| Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: Each participant must submit an individual project report. The report is defended at an oral exam with 15 minutes for presentation, and 15 minutes for questions from the examiners. Weight: Project report counts 70% and the oral exam counts 30% 7-point scale, external examiner | ||||||||||||
| Requirement For Attending Exam | Participation in the whole course | ||||||||||||
| Organisation of Teaching | The course includes lectures and theoretical and practical training in disease outbreak management. The course ends with an examination or submission of a written report. | ||||||||||||
| Block Placement | Outside schedule Week Structure: Outside schedule, The course lasts 5 full days, plus project and exam Theoretical exercises takes place in the class room and in the computer lab. | ||||||||||||
| Teaching Language | English | ||||||||||||
| Mandatory Prerequisites | The participant is required to have completed a basic education relevant for the course topic, e.g. DVM. | ||||||||||||
| Restrictions | 20 | ||||||||||||
| Course Contents | |||||||||||||
| Lectures and exercises: - Probability and probability distributions (defining probability, probability rules, deterministic analysis) - Probabilistic analysis (uncertainty and variability) - Theorems underpining probabilistic analysis (binomial theorem, central limit theorem, Bayes' theorem) - Probability distributions (poisson porcess, other distributions) - Probability processes and predictive values (binomial versus hypergeometric process, predictive values, combining tests) - Determining a distribution to represent a variable (parametric & nonparametric techniques, Bayesian inference) - Advanced modeling techniques - Guidelines for developing a quantitative risk assessment model | |||||||||||||
| Teaching And Learning Methods | |||||||||||||
| Participants are provided with introductory texts to read before the course. During the course lectures and exercises are given in alternating order. Participants work individually and in groups at the theoretical and at the practical exercises, and with emphasis on practical applicaition of risk estimation of introducing disease into a susceptible population. After the course master students must select a topic for the individual project report relevant for the daily job or for the competences the participant wants to achive. The course lasts 1 week (37,5 hours), and the project, report writing and exam is expected to last ca. 100 hours. | |||||||||||||
| Learning Outcome | |||||||||||||
| At the end of the course, it is expected that the participant can do the following: Knowledge: - define and describe potential disease risks at the farm, regional, national and international level - chose among methods for risk estimations - critically select among control strategies based on risk estimation Skills: - participate in the analysis of data and provide relevant information as input in risk estimation - evaluate alternative control options based on risk analysis Comptences: - collaborate scientifically and administratively with parties involved in disease control - carry out disease control activities based on scientific modeling input - take responsibility and make decisions as a veterinary practitioner, as an official veterinarian or as veterinarian in agricultural organisations or research institutions. | |||||||||||||
| Course Coordinator | |||||||||||||
| Jens Frederik Gramstrup Agger, jfa@life.ku.dk, Department of Large Animal Sciences/Populationsbiology, Phone: 35333013 | |||||||||||||
| Attendance Fee | |||||||||||||
| DKK 8000 | |||||||||||||
| Study Board | |||||||||||||
| Study Committee MSN | |||||||||||||
| Course Scope | |||||||||||||
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