SFKM10189U Veterinary Epidemiology, part 1
Master's Programme in Veterinary Public Health - compulsory
Aim
The aim of the course is to enable participants to design an
epidemiological study, including description of hypothesis, study
design, sampling methods, measures of frequency and association,
nature of data, etc.
Content
The course is the first of two modules in Epidemiology. This first
module of the course is based on blended learning, including both
eLearning and on-site lectures, plenum discussions and exercises.
The course introduces the concepts associated with basic
epidemiology, e.g. study objectives and hypotheses, study design,
nature of data, data management and measures of frequency and
association. The focus is on practical application of the concepts,
by writing a protocol describing the plans for conduct of an
observational epidemiological study, as well as practical data
management using R.
After an introduction with self-studies and eLectures in an
eLearning environment, there is one week on-campus training with
lectures and exercises. During this week, basics for the protocol
are laid down. During the following eLearning weeks, the protocol
is developed step-by-step using the principles taught in the
course. The protocol is handed in one week prior to examination and
forms the basis for an oral examination.
Learning outcome
At the end of the course it is expected that the participant has
the following qualifications:
Knowledge:
Identify an epidemiological problem to be investigated using
relevant epidemiological and statistical methods.
Skills:
Define and design studies, collect and store epidemiological data
in a database and evaluate data quality.
Develop a research protocol using relevant epidemiological methods.
Competences:
Collaborate scientifically with epidemiologists and statisticians
and other relevant scientists on epidemiological
investigations. Evaluate the validity and reliability of an
epidemiological study and generalise study results to other
populations than just the study population.
Houe H, Ersbøll AK, Toft N: Introduction to Veterinary
Epidemiology. Biofolia. 2004.
Dalgaard P: Introductory Statistics with R. Springer. 2008.
Exercises and notes will be provided in the e-learning
environment.
agricultural sciences, engineering or natural science is required – and
at least two years of relevant professional experience. If you wish
to attend single courses, the above mentioned requirements can be
deviated.
Good English language skills are required.
- Category
- Hours
- Exam
- 1
- Lectures
- 20
- Preparation
- 40
- Project work
- 84
- Theory exercises
- 20
- Total
- 165
- Credit
- 6 ECTS
- Type of assessment
- Written assignmentOral examination, 30 minutesThe 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. The exam occurs fact-to-face or via Skype.
- Exam registration requirements
Participation in the on-site course, submission of individual project report and participation in discussions in e-learning module.
- Aid
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
- Exam period
Examination: 30 minutes within the period 12-16 October 2015
Criteria for exam assesment
Knowledge:
Identify an epidemiological problem to be investigated using
relevant epidemiological and statistical methods.
Skills:
Define and design studies, collect and store epidemiological data
in a database and evaluate data quality.
Develop a research protocol using relevant epidemiological
methods.
Course information
- Language
- English
- Course code
- SFKM10189U
- Credit
- 6 ECTS
- Level
- Part Time Master
- Duration
- 10 weeks.
- Placement
- Autumn
eLearning: 3 August - 9 October 2015
On-campus: 31 August - 3 September 2015 - Schedule
- Outside standard time structure of classes.
- Course capacity
- 14
- Continuing and further education
- Price
7200 kr.
- Study board
- The Study Board for Veterinary Medicine and Animal Science
Contracting department
- Department of Large Animal Sciences
Course responsibles
- Jens Frederik Gramstrup Agger (3-6e6a654477797268326f7932686f)
Coordinator responsible for MVPH and single course participants - Søren Saxmose Nielsen (7-75637a6f7175674275777066306d7730666d)
Chief course responsibility
Lecturers
Søren Saxmose Nielsen and Matthew Denwood