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Root number
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102191 |
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Semester
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FS2023 |
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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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not defined |
| Title |
Introduction to Image Analysis |
| Description |
Auditors (Gasthörer) are not admitted to this course.
Course type: lecture / lab
Module: Mandatory Courses / Major Module "Image-Guided Therapy"
Selection criterion: students who selected the Major Module "Image-Guided Therapy" as well as students from the master's programs in Artificial Intelligence in Medicine and Bioinformatics are given preference. Next in line are other students of the Master's Program Biomedical Engineering. PhD students or students from other study programs are admitted to this course 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).
Lectures: Lectures will consist of fourteen sessions of 2 hours each.
Lab sessions: Lab sessions will consist of fourteen 1 hour-long sessions.
Lab sessions will be organized as follows:
- Students will be presented with homework sets with both theoretical and programming exercises. Material in the exercises will be from the course material covered in class.
- Students will work on homework sets and have the opportunity to ask questions to the teaching assistants.
- Students will work on a team project during the last quarter of the semester
- Students will be graded on their provided exercise sets.
Prerequisites: Linear algebra, Calculus, a programming course
Recommended courses/skills:
- Course(s): Probability, Statistics
- Skill(s): Knowledge in Python
Required Material or Equipment:
- A laptop with Python installed.
Textbook(s) and other reading material:
" Mark Lutz, "Learning Python" (5th Edition, O'Reilly)
" Alasdair McAndrew "A computational introduction to digital image processing (2nd edition)
Course policies and classroom rules of conduct:
• Academic dishonesty, plagiarism, and any other kind of fraud will lead to the exclusion from the course.
• Attendance required
• Punctuality
• No internet access during lectures
• No radios, audio/cd player, earphones
• No food and beverages 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.
Raphael Sznitman, ARTORG Center - Artificial Intelligence in Medical Image Computing ✉
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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 13:15-15:00 Weekly
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Friday 9/6/2023 10:00-12:00
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Monday 22/1/2024 14:00-14:30
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| Rooms |
Hörsaal U113, Chemie, Biochemie und Pharmazie, DCBP
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| External rooms |
Hörsaal A224 (“Weibel-Auditorium”), Institut für Anatomie, Bühlstrasse 26
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Insel MEM Auditorium, Operationstrakt Ost F, entrance 33 A/B or 34
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Room A-008, ARTORG Center, Murtenstrasse 50
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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