Cells: growth, interaction, diffusion, neurons, biopolymers. Systems and disease. Genetics and Genomics.
SI1410 Basic Modeling in Biotechnology 6.0 credits
This class aims at giving the basis to create and solve simple models of biological phenomena. It is part of an effort to enhance your quantitative thinking about biological questions. The general plan is to:
1. Create simple models of the biological process of interest, i.e. translate the problems into mathematical formulation
2. Solve these models, analytically using pen and paper and/or MATLAB code and numerically using MATLAB.
3. Visualize the solutions graphically, vary model parameters to visualize their effect.
4. Analyze and discuss the outcomes of the model, and propose solutions to improve it.
Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Autumn 2025 Start 25 Aug 2025 programme students
- Course location
AlbaNova
- Duration
- 25 Aug 2025 - 24 Oct 2025
- Periods
- P1 (6.0 hp)
- Pace of study
50%
- Application code
50999
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
Sökbar för CBIOT
- Planned modular schedule
- No information inserted
- Schedule
- Schedule is not published
- Part of programme
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus SI1410 (Autumn 2025–)Headings with content from the Course syllabus SI1410 (Autumn 2025–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
- Create simple models for systems of relevance in biotechnology such as product formation in bacterial culture, metabolic processes in the cell and protein interaction.
- Solve these models both analytically and numerically by primarily using course materials Matlab codes with own edits.
- Visualize the solutions graphically.
- Analyze and discuss the plausability of the results.
Literature and preparations
Specific prerequisites
SF1624 Algebra and Geometry, SF1525 Basic Course in Numerical Methods, SF1625 Univariate Analysis
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- LAB1 - Laboration 1, 1.5 credits, grading scale: P, F
- LAB2 - Laboration 2, 1.5 credits, grading scale: P, F
- TEN1 - Exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Completed laborations and passed written exam.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Technology
Education cycle
First cycle