2023-2024 / BIAA0003-1

Modelling physical and biological processes

Duration

24h Th

Number of credits

 Bachelor in bioengineering2 crédits 

Lecturer

Frank Delvigne

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Part 1 : Introduction

Part 2 : Modelling systems at the macro- and meso-scale

Part 3 : Complex systems and systems biology

Part 4: Modelling systems at the microscale

 

Fields of application that will be covered:

1.Chemical engineering: process optimization, separation, intensification, scale-up

2.Bioprocess engineering: cell culture, product formation (recombinant protein, plasmid DNA, metabolites...) 

3.Genetic engineering: metabolic engineering, systems and synthetic biology

Learning outcomes of the learning unit

This course will be focused on the analysis of different physical and biological systems of importance in bioengineering. Each of the systems will be analyzed and translated in terms of mathematical equations (either algebraic or ordinary differential equations), and simulated (Python will be used as a reference numerical tool). The physical systems that will be covered include the operations in stirred tank reactor (mixing, microbial bioprocesses, cell cultures), as well as some downstream processing operations (more precisely liquid-liquid and solid-liquid operations). The biological that will be covered include the growth of cell populations and the dynamics of gene circuits. The notion of complex systems will also be covered based on network and dynamics analyses. 

 

 

Prerequisite knowledge and skills

Knowledges in physics and mathematics

Planned learning activities and teaching methods

Mode of delivery (face to face, distance learning, hybrid learning)

Theory and exercices  : 24h (the exercices are solved during theroretical lectures)

Recommended or required readings

Modelling and simulations tools : (MatLab) and Python

Access to the equations -> most of them must be known, but a list of equations will be provided for the examination

Exam(s) in session

Any session

- In-person

written exam


Additional information:

100% written evaluation, most of the questions being focused on the exercices

 

 

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Prof. Frank Delvigne

F.Delvigne@uliege.be

Association of one or more MOOCs