101702-HS2023-0-Medical Image Analysis





Root number 101702
Semester HS2023
Type of course Lecture
Allocation to subject Biomedical Engineering
Type of exam not defined
Title Medical Image Analysis
Description Availability of Podcasts and/or Streaming:
- Lectures will be recorded and posted regularly. Please note that any technical issues preventing audio/video from being recorded does not forego your duty to attend the lecture or study the material.

Course type: lecture with exercises

Module: Mandatory Course / Major Module "Image-Guided Therapy"

Course registration:
Selection criteria: 1. Students with MM Image-Guided Therapy. 2. AIM students 3. Other BME students. 4. GCB students. 4. Other students.

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): Introduction to Signal Analysis
• Skill(s): Programming (Python)

Textbook(s) and other Reading Material:
• To be presented during the introduction

Attendance rules
• Attendance is mandatory

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.
• Punctuality
• No radios, audio/cd player, earphones
• No food and beverages in the classroom
ILIAS-Link (Learning resource for course) Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible). ILIAS
Link to another web site Further information for this course
Lecturers Prof. Dr. Mauricio ReyesARTORG Center for Biomedical Engineering Research - Medical Image Analysis 
ECTS 3
Recognition as optional course possible Yes
Grading 1 to 6
 
Dates Wednesday 10:15-12:00 Weekly
Thursday 25/1/2024 10:15-12:00
 
Rooms Hörraum 114, Hauptgebäude H4
Kuppelraum 501, Hauptgebäude H4
External rooms Hörraum 220, Hauptgebäude, Hochschulstrasse 4, 3012 Bern
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.