479071-HS2024-0-Advanced Medical Statistics





Root number 479071
Semester HS2024
Type of course Course
Allocation to subject Biomedical Engineering
Type of exam 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.
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 Jasmin WandelInstitute for Surgical Technology and Biomechanics (ISTB) 
ECTS 3
Recognition as optional course possible No
Grading 1 to 6
 
Dates Monday 08:15-10:00 Weekly
Monday 2/12/2024 08:15-10:00
Tuesday 21/1/2025 08:00-13:00
 
Rooms Seminarraum 002, Seminargebäude vonRoll
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.