Biostatistics
Postgraduate course
- ECTS credits
- 5
- Teaching semesters Autumn
- Course code
- BIO300B
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
Learning Outcomes
A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The candidate
- has knowledge about the importance of open and reproducible science
- has knowledge about the importance of power tests before an experiment
- knows how a p-value should be interpreted alongside effect sizes
Skills
The candidate
- can import data into R and process it reproducibly
- can select and apply appropriate statistical models, check whether the model's assumptions are met, and interpret the results
- can choose and make appropriate data visualisations
- can design experiments or observational studies, including making considerations of statistical power
General competence
The candidate
- is able to translate between scientific hypotheses and statistical hypotheses
- is proficient in the programming language R
- is able to write the statistical part of the Methods and Results section of a manuscript
ECTS Credits
Level of Study
Semester of Instruction
Autumn.
This course has a limited capacity, enrolment is based on application. The application deadline is Wednesday in week 33 for the autumn semester. Please see this page for more information.
You will receive confirmation of whether you received a seat in Studentweb no later than Monday in the week 34.
It is compulsory to attend the first lecture/orientation meeting, or you risk losing your seat. If you are unable to attend the first lecture, you must contact the Study Section (
Place of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Teaching and learning methods
- 22 hours of lectures (theory)
- 22 hours in data labs (practical exercises)
Compulsory Assignments and Attendance
- Attendance at lectures
- Participation in data labs
Approved compulsory activities are valid for 3 semesters, including the semester of completion.