Environmental Epidemiology DL (3783) |
| Language of instruction : English |
| Credits: 3,0 | | | | | Period: semester 1 (3sp) | | | | | 2nd Chance Exam1: Yes | | | | | Final grade2: Numerical |
| | | Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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Following programme components must have been included in your study programme in a previous education period
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Concepts of Epidemiology DL (3585)
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4.0 stptn |
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Generalized Linear Models DL (5465)
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6.0 stptn |
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Content: Air pollution, pesticides, metals are just some examples of environmental factors that have been linked to adverse health effects such as cardiovascular and respiratory disease. With increasing Risks associated with environmental exposures are generally small in the exposed population, because the population exposed is large the population attributable risks might be considerable. This course focus on basic principles and in more detail special environmental epidemiological designs. With increasing attention on genetic susceptibility as effect-modificator of environmental related health effects we will also focus on how gene-environment interactions can be studied. Learning outcomes: With increasing attention on environmental health issues form the public and government this is a growing area of those working in the field of public health. The course provides a public health interpretation of epidemiological concepts in the field of environmental epidemiology.
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Lecture ✔
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Small group session ✔
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Period 1 Credits 3,00 Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Recommended course material |
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The use of R software is recommended in this course. |
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Learning outcomes Master of Statistics and Data Science
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- EC
| The student is capable of acquiring new knowledge. | - EC
| The student knows the international nature of the field of statistical science and data science. | - EC
| The student knows the societal relevance of statistics and data science. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
| Offered in | Tolerance3 |
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second year Data Science - distance learning
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J
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second year Master Bioinformatics - distance learning
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J
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second year Master Biostatistics - distance learning
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J
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second year Quantitative Epidemiology - distance learning
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J
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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