INTHE4114 – Epidemiology in practice - Methodology, examples and tools
Course description
Course content
Learning outcome
You will learn the following by attending the course:
Knowledge
- elaborate on how data can be analyzed with the use of epidemiological/statistical methods
- elaborate on how research findings can be presented
Skills
- formulate specific research questions
- make an analyses plan
- analyze data
- present results in an appropriate format
- summarize results in an abstract and in a presentation
- use acquired skills to interpret and evaluate epidemiologic studies
General Competence
- Evaluate epidemiological findings with respect to chosen aim, analyses, and presentation of results
Admission to the course
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
- Students enrolled at the master programme in International Community Health (master), Tverrfaglig helseforskning (master) (being phased out) and Folkehelsevitenskap og epidemiologi (master) will get priority to the course, if they register in Studentweb before 10 January. The latest deadline to register and apply for the course in Studentweb is February 1.
- Students enrolled in other master’s programmes at the UIO can, on application before 10 January via our application form, be admitted to the course if this is cleared by their own study programme. We prioritize students at other programmes at the Institute and Faculty. You will get an answer 20 January at the latest.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Recommended previous knowledge
Overlapping courses
- 5 credits overlap with INTHE4033 – Advanced Module in Quantitative Methods.
- 5 credits overlap with FHE4040 – Project Planning and Research Ethics.
- 3 credits overlap with INTHE4103 – Methods in Intervention Epidemiology: With a focus to metabolic syndrome and type 2 diabetes (discontinued).
Teaching
Lectures, data-lab and seminars/group work.
80% attendance in the seminars/ group work is required to be eligible to take the exam. Attendance will be registered.
The quota for absence is meant to cover normal sickness absence and the like. You are therefore not given a valid absence from classes based on a medical certificate, even if the absence is due to obstacles for which you yourself cannot be blamed. In special cases, for example in the case of serious or long-term illness, you can apply for special needs provisions.
Examination
Group presentation at the end of the week.
80% attendance in the seminars/ group work is required to be eligible to take the exam.
Language of examination
Grading scale
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.