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Root number
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103598 |
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Semester
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FS2024 |
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Type of course
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Course |
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Allocation to subject
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Biomedical Engineering |
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Type of exam
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not defined |
| Title |
Dynamical Models: Analysis, Conception and Simulation |
| Description |
Auditors (Gasthörer) are not admitted to this course.
Course type: computer laboratory work
Modules: Recommended Elective Courses / Major Modules "Electronic Implants", "Image-Guided Therapy" and "Biomechanical Systems"
Selection criterion: The course is limited to 20 participants
Entrance assessment: In the first week, a first computer laboratory is performed, which forms the basis for an assessment which is decisive for final acceptance in the course.
For questions on course and exam registration contact bme.artorg@unibe.ch.
Course materials are regularly posted on Ilias (www.ilias.unibe.ch).
Prerequisites:
• Course(s): Numerical Methods
• Good knowledge of calculus and differential equations
Required Material or Equipment:
• Laptop with Matlab installed. The system identification toolbox may be helpful but is not required.
Textbook(s) and other Reading Material:
All necessary information will be given in the course; there is no need to purchase the following literature. It is given as reference to the students who want to expand upon the course contents.
• Matlab Help.
• Enderle, J.D.; Bronzino J.D. (2012). “Introduction to biomedical engineering”. Academic Press.
• Nelles, O. “Nonlinear System Identification”. Springer.
• Strogatz, S.H. (2014); "Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, 2nd edition". Westview Press.
Course Policies and Classroom Rules of Conduct:
• Academic dishonesty, plagiarism, and any other kind of fraud will lead to the exclusion from the course and/or a fail grade (grade 1) in the assessment.
• Attendance recommended
• Punctuality
• No radios, audio/cd player, earphones
• No food and beverages in the classroom
Description: In this course, a simulation approach towards dynamical systems is taken. The amount of theoretical input is reduced to a strict minimum. Instead the students will get problem descriptions that are to be solved autonomously. The problems stem from electronics, neurology, time series analysis and biomedical engineering and had a significant impact in scientific literature.
The subject matter of this course is twofold. First the students will learn how to use tools for simulating dynamical systems. These are mainly the tools gathered in the set of odetools of Matlab. Second the students will get exercise on how to build a mathematical model for a dynamical problem, be it electronic or mechanic initially. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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Further information for this course
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| Lecturers |
Norman Urs Baier, Masters in Biomedical Engineering
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ECTS
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3 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Wednesday 08:15-10:40 Weekly
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| Rooms |
Seminarraum S 101, UniS
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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