Mathematical Modeling in Biotechnology

Welcome to the course Project in Mathematical Modeling (CB1020).

The are three focus points in this course namely to obtain

• experience in defining mathematical models of the real world

• programming skills targeted toward mathematical modeling

• practical experience with the project work form

Mathematical modeling¶

Mathematical models and simulations are used to rationalize and better understand a wide range of phenomena in biology and biotechnology. We will focus on two different approaches to conduct mathematical modeling:

• agent-based models (ABMs)

• artificial intelligence/machine learning (AI/ML)

Python programming¶

In principle, the programming language in which we implement any given model is of minor importance per se, but, arguably, Python is a good choice to fill this role and it will therefore be the language of choice in this course.

Project work form¶

The project work form is omnipresent in industri and academia alike, making it an expected and all but required skill in every engineer. Thus, it makes good sense to develop this skillset already as a student and as a training ground we will use problem-based learning in our studies of the cross-disciplinary topic of mathematical modeling. An excellent guide to project work is the book titled “Projektarbete: En vägledning för studenter” by Andersen and Schwencke Andersen & Schwencke (2013). A readthrough of this book is well invested time and will provide generic, valuable, knowhow for future work.