Page 196 -

COURSE PRO FORMA

Code KUEU4332
Title Computational Modelling in Biomedical Engineering

Pre-requisite None
Student Learning Time (SLT) 80 hours

Credit 2

Understand systems of ODEs and their application to modelling biological
systems.
Learning Outcomes Apply PDEs solving skills and finite-element software.
Synthesize arrange of bioengineering models.
Synthesize complex shape reconstruction and modelling.

This course discusses computational modelling of biomedical systems, fo-
cusing on practical aspects of implementing and solving a broad range of
models commonly used in bioengineering. Areas to be covered include sys-
tems of ordinary differential equations, partial differential equations and their
solution using finite-difference and finite-elements techniques, electrical
Synopsis
stimulation of excitable tissues, diffusion models, solid and fluid biomechan-
ics, multiphysics modelling and surface representation of anatomical struc-
tures. Cardiovascular and respiration computational models and control, as
well as methods and tools used for identification of physiologic systems will
also be covered.

60% Continuous Assessments
Assessment
40% Final Examination

The Nature of Mathematical Modeling, byN. Gershenfeld (Cambridge Uni-
versity Press, 1999) [ISBN-13:978-0521570954].
Mathematical and Computer Modelling of Physiological Systems, by Vin-
References
cent C. Ride out (PrenticeHall,1991)[ISBN-13:978-0135633540].
Applied mathematical models in human physiology, by John nyt. Ottesen,
Mettes. Olufsen, Jesperk. Larsen (2004) [Isbn-13:978-0-898715-39-2].

Soft skills Critical Thinking and Problem Solving (CT1, CT2, CT3)

UM-PT01-PK03-BR004(BI)-S04