Back to selection
Semester | spring semester 2024 |
Course frequency | Every spring sem. |
Lecturers |
Klaus Mayer (klaus.mayer@unibas.ch)
Pablo Sinues (pablo.sinues@unibas.ch, Assessor) |
Content | The course will involve practical statistics and data-analysis techniques relevant in the biomedical engineering field, with a focus on solving biomedical problems. The course will introduce or repeat basic concepts of statistics but will emphasize on the use and application of statistics and understanding data analysis and representation rather than on understanding the mathematical background of statistics. The course will be set up around relevant and realistic datasets. Students will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests ‘by hand’, and visualize data and perform statistical analysis. They will learn and explore DOE techniques in a hands-on experiment and learn how to use error analysis to correctly determine (in-)accuracies, essential to the interpretation of any experiment. |
Learning objectives | After completing the module, students will be able to… • Visualize data using MATLAB and Python. • Summarize data via descriptive statistics. • Use Inferential Statistics. • Perform power and sample size calculations. • Use linear regression and correlation analysis. • Use linear mixed models and ANOVA analysis • Perform a DOE • Perform error analysis |
Admission requirements | Programming in MATLAB at the level of course “Programming Basics with MATLAB” Programming in Python at the level of course “Programming Basics with Python”/ 69472 |
Language of instruction | English |
Use of digital media | No specific media used |
Interval | Weekday | Time | Room |
---|---|---|---|
wöchentlich | Thursday | 10.15-12.00 | Biozentrum, Seminarraum U1.191 |
Date | Time | Room |
---|---|---|
Thursday 29.02.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.191 |
Thursday 07.03.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.191 |
Thursday 14.03.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.191 |
Thursday 21.03.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 28.03.2024 | 10.15-12.00 | Ostern |
Thursday 04.04.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 11.04.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 18.04.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 25.04.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.191 |
Thursday 02.05.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 09.05.2024 | 10.15-12.00 | Auffahrt |
Thursday 16.05.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 23.05.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Thursday 30.05.2024 | 10.15-12.00 | Biozentrum, Seminarraum U1.197 |
Friday 21.06.2024 | 10.00-12.30 | Biozentrum, Maurice E. Müller Saal U1.111 |
Modules |
Modul: Biomedical Engineering Basics (Master's Studies: Biomedical Engineering) |
Assessment format | record of achievement |
Assessment details | • Presentation at the end of the course of a relevant paper covering statistical methods learned during the lectures (30%) • Exam (70%) |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
Repeat examination | one repetition, best attempt counts |
Scale | 1-6 0,1 |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Medicine |
Offered by | Departement Biomedical Engineering (DBE) |