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Root number
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101722 |
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Semester
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HS2024 |
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Type of course
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Lecture |
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Allocation to subject
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Biomedical Engineering |
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Type of exam
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Presentation |
| Title |
Data Driven Diabetes Management |
| Description |
Attendance rules
• Attendance required
• No streaming or podcasting
Module: Recommended Elective Courses / Major Module "Image-Guided Therapy"
Course type: lecture with assignments and project
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.
Required Material or Equipment:
• Laptop or other computer system with Python installed
Course materials are regularly posted on Ilias (www.ilias.unibe.ch).
Prerequisites:
• Skill(s): Basic computer skills, fundamental linear algebra
Recommended courses/skills
• Skills: Basic programming knowledge
Textbook(s) and other Reading Material:
• Comprehensive material incl. research papers, tutorials available in Ilias.
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 failing grade (grade 1) in the assessment
• Punctuality
• No radios, audio/cd player, earphones
• No food in the classroom |
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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 |
Prof. Dr.
Stavroula Mougiakakou, Institute of Diagnostic, Interventional and Paediatric Radiology ✉
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Dr.
Lorenzo Brigato, ARTORG Center for Biomedical Engineering Research ✉
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Maria Panagiotou, ARTORG Center for Biomedical Engineering Research ✉
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Ioannis Papathanail, ARTORG Center for Biomedical Engineering Research ✉
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Prof. Dr.
Lilian Witthauer, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
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ECTS
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3 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 12:15-14:00 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. |
User:
Öffentlicher Bereich
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