Modelling and Computation for Life Science and Technology

The course deals with deriving models from biosystems (process, cell, enzymes), mathematical formulation and numerical solutions.

Model formulation:

• Mass balancing for biosystems

• Mass balancing in space and time

• Mechanistic modeling for kinetics

• Thermodynamics

Mathematical solutions:

• Linear equations

• Non-linear equations

• ODE systems

• PDE systems

• Optimization, parameter estimation

• Sensitivity analysis

• Model validation and error propagation

Model development skills

• Code repositories

• Code maintenance and debugging

• Collaborative coding, project management