Course catalogue doctoral education - VT24
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| Title | Epidemiology I: Introduction to epidemiology |
|---|---|
| Course number | 1577 |
| Programme | Epidemiology |
| Language | English |
| Credits | 1.5 |
| Date | 2014-02-11 -- 2014-02-20 | Responsible KI department | Department of Global Public Health |
| Specific entry requirements | |
| Intended learning outcomes | After successfully completing this course students are expected to be able to: -give examples of the contribution of epidemiology to science and discuss the importance of epidemiology as a research discipline. -estimate and in a general way interpret measures of disease occurrence and measures of association, and describe how a specific measure is governed by the study design. -explain strengths and weaknesses of common epidemiological study designs. -identify and explain possible sources of bias in epidemiological studies. -describe theoretical models for causation and discuss the principles of causal mechanisms. -apply knowledge of epidemiological concepts when critically reviewing scientific literature. Learning outcomes are classified according to Bloom´s taxonomy: knowledge, comprehension, application, analysis, synthesis, and evaluation. |
| Contents of the course | The course gives an introduction to epidemiological theory and practice. It comprises basic principles regarding design, interpretation, and analysis of epidemiological studies. It introduces the concept of causation, concepts related to measures of disease occurrence and measures of association, common designs for epidemiological studies (with main focus on cohort studies), and the role of bias. |
| Teaching and learning activities | The course focuses on active learning, i.e. putting knowledge into practice and critically reflecting upon the knowledge, rather than memorising facts. Different strategies for teaching and learning will be used, such as lectures, group discussions and various forms of group exercises on selected topics. |
| Compulsory elements | The examination tasks are compulsory. |
| Examination | To pass the course, the student has to show that the learning outcomes have been achieved. Assessments methods used are group assignments along with written and oral individual tasks. The examination is viewed as contributing to the development of knowledge, rather than as a test of knowledge. Students who do not obtain a passing grade in the first examination will be offered a second chance to resubmit the examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered. |
| Literature and other teaching material | Rothman KJ. Epidemiology: an introduction. New York: Oxford University Press, 2002. Scientific articles will be distributed before and during the course. |
| Number of students | 12 - 25 |
| Selection of students | Eligible doctoral students will be prioritized according to 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a short description of current research and motivation for attending, as well as an account of previous courses taken. |
| More information | Course dates are: February 11, 13, 17, 18 and 20. The course is extended over 2 weeks (but still 5 full course days) in order to promote reflection and reinforce learning. |
| Additional course leader | Spring semester 2014 this course will be given by the Department of Medical Epidemiology and Biostatistics (MEB). The course alternates between the departments Institute of Environmental Medicine (IMM), Department of Medical Epidemiology and Biostatistics (MEB) and Department of Public Health Sciences (PHS), but the learning outcomes are the same. |
| Latest course evaluation | Course evaluation report |
| Course responsible |
Katarina Bälter Department of Medical Epidemiology and Biostatistics Katarina.Balter@ki.se |
| Contact person |
Gunilla Nilsson Roos Institutionen för medicinsk epidemiologi och biostatistik 08-524 822 93 gunilla.nilsson.roos@ki.se |
