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 techniques and computational algorithms. A wide variety of topics are touched upon: from cellular signaling and biological rhythms to neuronal and vascular networks.

Education

MSc Programme of Biomedical Engineering - Restricted elective in the Technological Specialization

MSc Quantitative Biology and Disease Modelling - Restricted elective in the Technological Specialization

Learning outcome

After participating in the course, the student must demonstrate the following abilities at a sufficient level:

Knowledge

  • Understand mathematical/physics concepts (dynamical systems, oscillation theory, network theory, synchronization theory, statistics, survival analysis)

  • Understand computational algorithms behind Matlab/Python/R scripts related to biosimulations

  • Explain topology 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

  • Review scientific literature on physiological modeling and related data analysis, critically assess the use of methods and obtained results

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

  • Perform theoretical and computational analysis of dynamical patterns of physiological models and reveal parameters responsible for pathological conditions

  • Optimize/develop computation algorithms to perform biosimulations

  • Convey a physiological problem solving into a report and a Power Point presentation

Competence

  • To formulate mechanism-based and data-driven 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

Lectures, class/home assignments

Lecture notes and scientific papers

Please note! In addition to the course certificate mentioned in this course description, the description of the exam has a exam description SMTK20002E

ECTS
2,5 ECTS
Type of assessment
Course participation
Type of assessment details
Participation in all written and oral assignments through the course and approval of the final written report
Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Criteria for exam assessment

To obtain the course certificate the student must be able to

Knowledge

  • Understand underlying mathematical/physics concepts 
  • Understand advanced computational algorithms used for modeling
  • Explain biological background of the model
  • Understand regulatory mechanisms of biological rhythms/networks and their mathematical models

 

Skills

  • Discuss modeling approaches depending on the purpose of study
  • Reproduce, modify and simulate models from scientific literature
  • Discuss reproducibility and comparability of relevant computational models
  • Apply mathematical/physical concept to particular biomedical problem
  • Formulate a model and discuss its possible simplifications/​extension and dynamics
  • Develop algorithms to perform simulations
  • Improve scientific writings in English language

 

ECTS
7,5 ECTS
Type of assessment
Written assignment
Oral examination, 30 min.
Type of assessment details
Oral exam includes a presentation of the project on the basis of the written report and discussion of biological, mathematical, and computational aspects of the project.
Exam registration requirements

Achieved course attestation (SMTK20001E) by handing-in of project assignment and assessment/criticism of received assignment.

Aid
Without aids
Marking scale
7-point grading scale
Censorship form
No external censorship
One internal examiner
Criteria for exam assessment

In order to obtain the grade 12, the student must demonstrate the following abilities at a sufficient level:

Knowledge

  • Explain physiology and regulatory mechanisms related to normal and pathological conditions
  • Understand mathematical/physics concepts underlying modeling approach
  • Understand computational algorithms behind scripts related to biosimulations
  • Understand assumptions and simplifications needed to build a reliable model
  • Understand dynamical/statistical features of the model and their relevance to certain pathological conditions

 

Skills

  • Review of scientific literature on physiological modeling and related data analysis, critically assess the use of methods and obtained results
  • Discuss reproducibility and comparability of relevant computational models and approaches
  • Perform theoretical and computational analysis of dynamical patterns of physiological models and reveal parameters responsible for pathological conditions
  • Optimize/develop computation algorithms to perform biosimulations
  • Convey results into a scientifically written report and a Power Point presentation

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 24
  • Preparation
  • 226
  • Project work
  • 24
  • Exam
  • 0,5
  • English
  • 274,5

Kursusinformation

Language
English
Course number
SMTK20001U
ECTS
See exam description
Programme level
Full Degree Master
Duration

1 semester

Placement
Autumn
Schedulegroup
See Syllabus
Capacity
60 participants
Studyboard
Study board from DTU
Contracting department
  • Department of Biomedical Sciences
Contracting faculty
  • Faculty of Health and Medical Sciences
Course Coordinator
  • Olga Sosnovtseva   (4-76736e68477a7c756b35727c356b72)
If you need help:
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Questions about exams for your KU-courses, please contact:
eksamen@sund.ku.dk

Questions about study planning for your KU courses, please contact:
vejledning@sund.ku.dk
Saved on the 28-03-2023

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