Modeling and simulation play an important role and have developed into indispensable disciplines in many fields, including Medical Engineering. This course aims at providing a comprehensive introduction to the methods and theory of medical simulations, covering finite element methods (FEM) for biomechanics simulations; medical imaging simulation methods; various methods (systems dynamic modeling, discrete event simulations, agent-based modeling) that have applications on mechanistic modeling of disease, treatment, epidemiology, healthcare systems and processes, logistics and much more; molecular simulations; CFD for fluid and climate technology; surgical and haptic simulations. Despite different simulation methods, all have mathematics behind, and an understanding of differential equations is warranted.
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Content and learning outcomes
Modeling and simulation play an important role and have developed into indispensable disciplines in many fields, including Medical Engineering. This course aims at providing a comprehensive introduction to the methods and theory of medical simulations, covering the following topics:
Finite element methods (FEM) for biomechanics simulations
Medical imaging simulation methods (ultrasound and ionizing radiation imaging)
Methods that have applications in mechanistic modeling of disease, treatment, epidemiology, healthcare systems and processes, logistics etc., including
oSystems dynamic modeling and simulation
oDiscrete event simulations
CFD (Computational fluid dynamics) for fluid and climate technology
Surgical and haptic simulations
Despite different simulation methods, all have mathematics behind, and an understanding of differential equations is warranted
Intended learning outcomes
After passing the course, the student should be able to
Understand the rationale behind medical simulations and what societal challenges could be solved with medical simulations
Describe the key concepts and theoretical background in medical simulations
Derive and explain some fundamental mathematical models in medical simulations
Solve basic differential equations (analytically and numerically) of relevance in medical simulations
Critically analyze and discuss the plausibility of the simulation results
Literature and preparations
Bachelor's degree in Engineering Physics, Electrical Engineering, Computer Science or equivalent.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- LAB1 - Laboratory work, 4.5 credits, grading scale: P, F
- TEN1 - Written exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web CM2014