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Course
Pro-forma
Bachelor of Biomedical Engineering
Code
KUEU4332
Title
Computational Modelling in Biomedical Engineering
Pre-requisite
None
Student Learning Time (SLT)
80 hours
Credit
2
Learning Outcomes
1.
Understand systems of ODEs and their application to
modelling biological systems.
2.
Apply PDEs solving skills and finite-element software.
3.
Synthesize a range of bioengineering models.
4.
Synthesize complex shape reconstruction and modelling.
Synopsis
This course discusses computational modelling of biomedical
systems, focusing on practical aspects of implementing and
solving a broad range of models commonly used in
bioengineering. Areas to be covered include systems of ordinary
differential equations, partial differential equations and their
solution using finite-difference and finite-elements techniques,
electrical stimulation of excitable tissues, diffusion models, solid
and fluid biomechanics, multiphysics modelling and surface
representation of anatomical structures. Cardiovascular and
respiration computational models and control, as well as
methods and tools used for identification of physiologic systems
will also be covered.
Assessment
60 % Continuous Assessments
40 % Final Examination
References
1.
The Nature of Mathematical Modeling, by N. Gershenfeld
(Cambridge University Press, 1999) [ISBN-13: 978-
0521570954].
2.
Mathematical and Computer Modelling of Physiological
Systems, by Vincent C. Rideout (Prentice Hall, 1991) [ISBN-
13: 978-0135633540].
3.
APPLIED MATHEMATICAL MODELS IN HUMAN PHYSIOLOGY,
BY JOHNNY T. OTTESEN, METTE S. OLUFSEN, JESPER K.
LARSEN (2004) [ISBN-13: 978-0-898715-39-2].
Soft Skills
Critical Thinking and Problem Solving (CT1,CT2,CT3)