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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.

About course offering

For course offering

Autumn 2024 Start 26 Aug 2024 programme students

Target group

Sökbar för CBIOT

Part of programme

Degree Programme in Biotechnology, åk 3, Mandatory


P1 (6.0 hp)


26 Aug 2024
27 Oct 2024

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location


Number of places

Places are not limited

Planned modular schedule


For course offering

Autumn 2024 Start 26 Aug 2024 programme students

Application code



For course offering

Autumn 2024 Start 26 Aug 2024 programme students


Lucie Delemotte (


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Course coordinator

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Headings with content from the Course syllabus SI1410 (Autumn 2015–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Cells: growth, interaction, diffusion, neurons, biopolymers. Systems and disease. Genetics and Genomics.

Intended learning outcomes

  1. Create simple models for systems of relevance in biotechnology such as product formation in bacterial culture, metabolic processes in the cell and protein interaction.
  2. Solve these models both analytically and numerically by primarily using course materials Matlab codes with own edits.
  3. Visualize the solutions graphically.
  4. Analyze and discuss the plausability of the results.

Literature and preparations

Specific prerequisites

Knowledge corresponding to Calculus, Algebra and Geometry, SF1524 Basic numerical methods and programming.

Recommended prerequisites

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1. Ronald W. Shonkwiler, James Herod: Mathematical Biology: An Introduction with Maple and Matlab.

2. Joan Mata-Alvarez, David A. Mitchell: Mathematical modeling in Biotechnology

3. Erich Steiner: The Chemistry Math Book

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


  • 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.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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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


Education cycle

First cycle

Add-on studies

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Lucie Delemotte (