TBMT37 · 2 credits · Basic level (G2F) · Bioteknik
Models in System Biology
Active · next start VT 2027
69%
passed the latest regular sitting
UPG3 · 12 Mar 2026 · 16 students
84%
passed the regular sittings, all sittings over the last 5 years
UPG3 · 119 students
40%
Harder than 40% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 88 students.
Part of 1 programme
Hand-in or lab
UPG3 Test
- G
- U
Main rounds
84% passed · 119 students
- 69%16
- 100%27
- 78%45
- 87%31
Later rounds
90% passed · 10 students
- 90%10
- Pass a later round: 90% (10 students), compared with 84% (119 students) on the ordinary exam
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.
- 67%3
- 100%1
- 100%1
- 100%3
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 121 students
- 100%47
- 100%43
- 100%31
Later rounds
No sittings with at least 5 students.
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
Hand-in or lab
UPG2 Test
- G
Main rounds
100% passed · 58 students
- 100%30
- 100%28
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%4
- 100%1
About the course
Aim
This course will provide experience in mathematical modeling of biological systems. After completing this course, the participant shall be able to:
- explain and use basic concepts in systems biology
- construct and analyse mathematical models with computer based tools
Content
Lectures, laboratory work covers:
- Systems biology: what it is, methods, issues and opportunities.
- Mathematical modeling. Model formulation.
- Software for mathematical modeling and simulation in systems biology.
- System Identification: adaptation of mathematical models to experimental data.
- Validation and use of mathematical models. Troubleshooting and uncertainty analysis
- Examiner
- William Lövfors
- Scheduled hours
- 22 h
- Main field of study
- Bioteknik