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.
MSc Programme of Biomedical Engineering
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
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To formulate mechanism-based models and choose appropriate computational methods to investigate them
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To interpret dynamical features of the biomedical systems in term of biology and mathematics
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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
Course registration takes place at DTU
Open for credit transfer students and other external students.
Apply here:
Credit transfer students:
http://healthsciences.ku.dk/education/other-programme-options/credit-transfer-students/
Other external students:
http://healthsciences.ku.dk/education/exchange_guest_students/guest-students/
- ECTS
- 10 ECTS
- Type of assessment
-
Written assignmentOral examinationOral 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
Kursusinformation
- Language
- English
- Course number
- SMTK12022U
- ECTS
- 10 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 semester
- Schedulegroup
-
See Syllabus
- Capacity
- 60 participants
- Studyboard
- Study board for DTU Elektro
- Department of Biomedical Sciences
Course Coordinator
- Olga Sosnovtseva (4-726f6a644376787167316e7831676e)
Exams Coordinator: Hanne Niebe Thomsen:hanith@sund.ku.dk
Phone: 35 32 71 04
Web: http://sund.ku.dk/uddannelse/vejledning-information/studieservice/
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Kursusinformation for indskrevne studerende