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Root number
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479071 |
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Semester
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HS2024 |
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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 |
Advanced Medical Statistics |
| Description |
Course type: Lecture with interactive exercises and a project thesis
Module: General Elective Courses
Selection Criterion:
This course is limited to 10 participants. Students of the Biomedical Engineering program with a grade of 5 or better in the course “Introduction to Medical Statistics” are given preference. Students who do not fulfill these criteria can be accepted if free places are available.
For questions on course and exam registration contact bme.artorg@unibe.ch.
Course materials are regularly posted on Ilias (www.ilias.unibe.ch).
Recommended Courses/Skills:
• Course(s): Introduction to Medical Statistics or comparable prior knowledge
• Skill(s): Basic mathematics, good common sense as well as some programming experience with R or Python
Required Material or Equipment:
• Laptop with pre-installed statistical software R (www.r-project.org)
Distribution of Course Materials:
• Course materials are regularly posted on Ilias (www.ilias.unibe.ch).
Textbook(s) and other Reading Material:
The following textbook is recommended for further reading:
• Kirkwood B. and Sterne J. (2003): Essential Medical Statistics, Blackwell Publishing, 2.ed.
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.
• Filming the lectures is not allowed. |
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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 |
Jasmin Wandel, Institute for Surgical Technology and Biomechanics (ISTB)
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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 |
Monday 08:15-10:00 Weekly
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Monday 2/12/2024 08:15-10:00
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Tuesday 21/1/2025 08:00-13:00
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| Rooms |
Seminarraum 002, Seminargebäude vonRoll
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| External rooms |
Room 120, Hauptgebäude, Hochschulstrasse 4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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