8BKG37 · 6 credits · Basic level (G1X) · Medicinsk biologi
Bioinformatics and Statistics
Active · next start HT 2026
59%
passed the latest regular sitting
37WE · 16 Jan 2026 · 41 students
49%
passed the regular sittings, all sittings over the last 5 years
37WE · 189 students
83%
Harder than 83% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 85 students.
Part of 1 programme
Other module
37WE Written examination
- 5
- 4
- 3
- U
Main rounds
49% passed · 189 students
- 59%41
- 57%44
- 30%44
- 43%30
- 57%30
Later rounds
47% passed · 148 students
- 91%11
- 35%26
- 40%10
- 28%18
- 44%9
- 65%26
- 0%6
- 41%17
- 33%9
- 69%16
- Pass a later round: 47% (148 students), compared with 49% (189 students) on the ordinary exam
- Get 4 or 5: 20% (337 students)
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Other module
37CE Compulsory elements
- G
- U
Main rounds
99% passed · 200 students
- 100%44
- 100%43
- 100%44
- 91%32
- 100%37
Later rounds
No sittings with at least 5 students.
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%4
Other module
37PE Practical examination
- G
- U
Main rounds
97% passed · 198 students
- 100%36
- 100%44
- 98%44
- 90%31
- 98%43
Later rounds
No sittings with at least 5 students.
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%1
About the course
Aim
Knowledge and understandingOn completion of the course, the student shall be able to:
- Describe theories and fundamental principles of statistical hypothesis testing
- Explain the principles of the use of parametric and non-parametric statistics in the analysis of biomedical data
- Describe the fundamental principles of statistical probability
- Assess challenges relating to statistical analysis of large volumes of data
- Describe bioinformatic tools used to answer biomedical questions
- Describe the theory and application of alignment methods for sequencing data
Skills and abilitiesOn completion of the course, the student shall be able to:
- Use appropriate statistical methods in analyses based on specific biomedical problems
- Interpret the results of common statistical tests from biomedical perspectives
- Calculate the probability of observing a set of independent, mutually exclusive or interdependent events
- Use public databases in order to obtain data of relevance to specific biomedical problems
- Write simple computer programs using the programming language R in order to carry out statistical analysis of biomedical data
Judgement ability and approachOn completion of the course, the student shall be able to:
- Apply a critical approach to the interpretation of results of statistical tests in biomedical research
- Apply a well-informed and critical approach in order to assess the advantages and disadvantages of applying various statistical methods to specific biomedical problems
Content
During the course, the student will study basic biomedical statistics. The course focuses primarily on the statistical methods used in the analysis of small-scale biomedical data. Specific focus is placed on understanding the underlying principles of the most commonly used statistical methods. The student will apply this statistical knowledge to biomedical data by writing simple computer programs in order to analyse data obtained from published studies. The use and misuse of statistics within modern healthcare and biomedical research, and the ethical issues that arise when using them will also be studied. In addition, the student will be introduced to the field of bioinformatics and how to navigate and use online biomedical databases and bioinformatic tools to process large volumes of data. The course encompasses the fields classical statistics, probability theory, bioinformatics and programming for statistical purposes.
- Examiner
- Sandra Hellberg
- Main field of study
- Medicinsk biologi