NBID75 · 9 credits · Advanced level (A1F) · Biologi
Modelling of Biological Systems
Discontinued · replaced by NBID85
100%
passed the latest regular sitting
UPG4 · 16 Jan 2026 · 13 students
100%
passed the regular sittings, all sittings over the last 5 years
UPG4 · 40 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 1 programme
Hand-in or lab
UPG4 Hand-in assignments
- G
Main rounds
100% passed · 40 students
- 100%13
- 100%6
- 100%6
- 100%6
- 100%9
Later rounds
No sittings with at least 5 students.
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG3 Project community ecology
- 5
- 4
- 3
Main rounds
100% passed · 37 students
- 100%12
- 100%5
- 100%5
- 100%6
- 100%9
Later rounds
No sittings with at least 5 students.
- Get 4 or 5: 95% (37 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%1
Hand-in or lab
UPG5 Modeling project
- 5
- 4
- 3
Main rounds
100% passed · 29 students
- 100%9
- 100%5
- 100%6
- 100%9
Later rounds
No sittings with at least 5 students.
- Get 4 or 5: 97% (29 students)
Show small sittings (5)
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%2
- 100%1
- 100%2
- 100%4
About the course
Aim
The aim is that students should be able to acquire and utilize basic knowledge of mathematical and statistical models for applied and theoretical problems in ecology and biology, as well as to be able to construct and use models in the program language R. Students shall be able to handle the four stages after completion of the course:
- Formulate and construct a mathematical model from verbal description of known experimental relations
- Mathematically analyze and apply a model
- Interpret and evaluate the mathematical analysis in the context of the experimental knowledge
- Present the model and its results.
Upon completion of the course the student is expected to complete the basic programming tasks and visualization tasks in R.
The course also aims at giving the student advanced knowledge of concepts and theories in community ecology and how these apply to current environmental problems.
Content
Basic programming in R such as; familiarity with standard functions found in R, create their own functions in R, use of R for large data analysis, as well as visualization of data in R.
The models that will be treated are; models in discrete and continuous time, deterministic and stochastic models.
Presentation skills.
The course also deals with the structure and dynamics of ecological communities in time and space as well as how they react to different types of disorders.
- Examiner
- Anna Eklöf
- Scheduled hours
- 48 h
- Main field of study
- Biologi