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Root number
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101707 |
Semester
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HS2024 |
Type of course
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Lecture |
Allocation to subject
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Biomedical Engineering |
Type of exam
|
not defined |
Title |
Numerical Methods |
Description |
Course type: lecture / tutorials
Module: Basic Module "Applied Mathematics" (mandatory)
Availability of Podcasts and/or Streaming:
Podcasts of the lecture will be provided, of course in the limits of what is technically possible (no quality or availability guaranteed)
Required Material or Equipment:
• Laptop with Matlab, Octave or Python installed for the homework assignments
Selection criterion: students of the Master's Program Biomedical Engineering are given preference. PhD students, students from other study programs or guest students are admitted to this course if free places are available.
For questions on course and exam registration contact bme.artorg@unibe.ch.
Prerequisites:
• Have a good working knowledge of calculus in one and two variables
• Know basic facts about linear differential equations
• Basic linear algebra, including eigenvalues and eigenvectors of symmetric matrices
Recommended Skills: basic programming skills in Octave, Matlab or Python
Distribution of Course Materials:
• Course materials are regularly posted on Ilias (www.ilias.unibe.ch).
Textbook(s) and other Reading Material:
• No additional textbook required, recommendations are given in class.
Course Policies:
• 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. |
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 |
Horst Heck, Masters in Biomedical Engineering
|
|
Stéphane Félix, Masters in Biomedical Engineering ✉
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ECTS
|
5 |
Recognition as optional course possible
|
Yes |
Grading
|
1 to 6 |
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Dates |
Thursday 14:15-16:00 Weekly
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Friday 16:00-16:30 Weekly
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Friday 14:15-16:00 Weekly
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Monday 6/1/2025 09:15-11:45
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Rooms |
Hörraum 106, Hauptgebäude H4
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Hörraum 205, Hauptgebäude H4
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Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |