NMAK20001U Mathematical Modelling in Epidemiology
MSc Programme in Statistics
Epidemiology may be thought of as the study of patterns of health and disease in populations. Mathematical modelling is one of the cornerstones of modern epidemiology, and in this course we will cover various analytic techniques used to interrogate and understand epidemics. Particular topics may include: deterministic and stochastic modelling; simulation and analysis; transmission dynamics; agent-based models; compartmental models; network models; vector-based models.
- Knowledge of modelling, simulation and analysis techniques used in epidemiology
- Ability to create appropriate models to analyse epidemic behaviour
- Ability to undertake critical analysis and validation of models
- Ability to interpret the output of models
- Ability to undertake self-directed research for mathematical modelling approaches
- Create, parameterise, fit, evaluate, and interpret the results of models for understanding population disease dynamics
See Absalon for a list of course literature
- Practical exercises
- Project work
- 7,5 ECTS
- Type of assessment
- Written examination, 4 hrs. under invigilationSupervised written exam of 4hrs, including the use of computers for modelling
- Exam registration requirements
Complete at least one of two within-course assignments
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
Same as the ordinary exam. If the required amount of within-course assignments is not approved before the ordinary exam, they must be approved no later than three weeks before the beginning of the re-exam week.
If ten or fewer students have signed up for re-exam, the type of assesment will be changed to oral exam.
Criteria for exam assesment
To achieve a 12, students must convincingly demonstrate that they have attained the knowledge, skills, and competences described here.