| Responsible Department | Department of Large Animal Sciences | ||||||||||||
| Earliest Possible Year | Post experience Master´s Programme | ||||||||||||
| Duration | Outside schedule | ||||||||||||
| Credits | 5 (ECTS) | ||||||||||||
| Level of Course | Post experience masters programme Part of Module 3 in the Master of Veterinary Public Health programme | ||||||||||||
| Examination | Continuous Assessment written examination and oral examination Portfolio Examination All aids allowed Description of Examination: Examination questions are uploaded on the e-learning homepage and answers must be returned electronically within 24 hours. You can use all resources at your disposal to answer the questions, but you must submit your own individual answers. Group answers are not accepted Weight: The final examination counts 50% of the final mark. Activities prior to the final examination count 50% of the final mark 7-point scale, external examiner | ||||||||||||
| Requirement for Attending Exam | Participation in the whole course and successfully complete 75% of the course assignments prior to the final exam | ||||||||||||
| Organisation of Teaching | Part 1 is on Campus with lectures and exercises on basic and applied topics. Part 2 is conducted as distance learning (internet) with e-tivities on theoretical and applied topics during 6 weeks | ||||||||||||
| Block Placement | Outside schedule Week Structure: Outside schedule | ||||||||||||
| Language of Instruction | English | ||||||||||||
| Mandatory Prerequisites | The participant is required to have completed a basic education, e.g. DVM plus minimum two years of relevant professional experience | ||||||||||||
| Restrictions | Minimum 10 and maximum 20 participants | ||||||||||||
| Course Content | |||||||||||||
| Part 1 gives an introduction to the basic principles and applications with focus on - 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 Part 2 is conducted as distance learning during 6 weeks with focus on elements of Part 1 and with individual and group assignments. During these weeks the participants will work on different aspects of risk analysis in relation to specific case studies | |||||||||||||
| Teaching and learning Methods | |||||||||||||
| Participants are provided with introductory literature to read before the course. During Part 1 of the course, lectures and exercises are given. Participants work individually and in groups on theoretical and practical exercises, with emphasis on understanding basic principles and practical applications. During Part 2, the e-learning period, participants will work individually and in groups on topics introduced in Part 1, and relevant teacher support will be provided throughout | |||||||||||||
| 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 Literature | |||||||||||||
| OIE manual on import risk analysis. OIE, 2003. Vose D: Risk Analysis: A quantitative guide. 2008, 758 pp. Selected papers and course notes. | |||||||||||||
| Course Coordinator | |||||||||||||
| Jens Frederik Gramstrup Agger, jfa@life.ku.dk, Department of Large Animal Sciences/Populationsbiology, Phone: 353-33013 | |||||||||||||
| Course Fee | |||||||||||||
| DKK 8000 | |||||||||||||
| Study Board | |||||||||||||
| Study Committee MSN | |||||||||||||
| Work Load | |||||||||||||
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