Advanced Physiological Modelling

Course content

The course aims to provide overview of current research topics in mathematical physiology by synthesizing a coherent description of the physiological background with realistic mathematical models and their analysis. The program will give students the opportunity to develop mathematical and computer modeling skills, whilst at the same time will introduce students to cutting-edge experimental and computational techniques. A wide variety of topics are touched upon, from biochemistry and cellular signaling to neural activity and vascular networks.

Education

MSc Programme of Biomedical Engineering

Learning outcome

Knowledge

  • Understand mathematical/physics concepts (stability analysis, oscillation theory, synchronization theory, reaction-diffusion equations)

  • Understand computational algorithms behind Matlab scripts related to biosimulations

  • Explain morphology and dynamics of biological networks and their relevance to normal and pathological conditions

  • Understand what assumptions and simplifications are needed to build a model

  • Understand underlying signaling mechanisms and corresponding control parameters in a model related to a certain disease

Skills

  • Analyze a scientific article on physiological modeling and related time-series analysis, critically assess the use of methods and published results

  • Analyze complex networks of the human body by treating in sequence problems at the intracellular, intercellular, whole organ and systemic levels

  • Perform theoretical and computational analysis of dynamical patterns in biological networks and reveal parameters responsible for pathological conditions

  • Convey a physiological dynamical problem into a report and a power point presentation

Competence

  • To formulate mechanism-based models and choose appropriate computational methods to investigate them

  • To interpret dynamical features of the biomedical systems in term of biology and mathematics

  • To integrate fundamental knowledge from physics, mathematics and biology to provide better understanding of regulatory mechanisms at different levels of organization

Classes and lectures

Lecture notes and scientific papers

ECTS
10 ECTS
Type of assessment
Written assignment
Oral examination
Oral exam including a presentation of a project assignment and written critique of a project assignment prepared by others.
Aid
Without aids
Marking scale
7-point grading scale
Censorship form
No external censorship
More than one internal examiner
Criteria for exam assessment

Knowledge

  • Understand mathematical/physics concepts (stability analysis, oscillation theory, synchronization theory, reaction-diffusion equations)

  • Understand computational algorithms behind Matlab scripts related to biosimulations

  • Explain morphology and dynamics of biological networks and their relevance to normal and pathological conditions

  • Understand what assumptions and simplifications are needed to build a model

  • Understand underlying signaling mechanisms and corresponding control parameters in a model related to a certain disease

Skills

  • Analyze a scientific article on physiological modeling and related time-series analysis, critically assess the use of methods and published results

  • Analyze complex networks of the human body by treating in sequence problems at the intracellular, intercellular, whole organ and systemic levels

  • Perform theoretical and computational analysis of dynamical patterns in biological networks and reveal parameters responsible for pathological conditions

  • Convey a physiological dynamical problem into a report and a power point presentation

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 12
  • Project work
  • 12
  • Preparation
  • 250
  • Exam
  • 1
  • English
  • 275