n.BA.AD.BSI.23HS (Biomedical Sensors and Imaging) 
Module: Biomedical Sensors and Imaging
This information was generated on: 10 May 2024
No.
n.BA.AD.BSI.23HS
Title
Biomedical Sensors and Imaging
Credits
2

Description

Version: 1.0 start 01 August 2023

 

Study Programme Applied Digital Life Sciences
Regulations Applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Applied Digital Life Sciences degree programme
Module Type  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 4th Semester
Module Coordinator Georg Spinner
Telephone / E-Mail +41 (0)58 934 54 43 / georg.spinner@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 Georg Spinner and varoius internel and external lecturers
Entrance Requirements Data Engineering, Mathematische Modelle und Analyse, Systeme und Modelle der Physik, Numerische Grundlagen der Data Science, Image and Signal Processing
Learning Outcomes and Competencies Technical skills:
The students are able to
  • Understand the techniques of different sensors and imaging devices in (bio-)medicine, e.g. EKG, EEG, wearables, X-rays, MRI, PET, histology etc.
  • To visualize and interpret typical sensor and image data from (bio-)medicine
  • To process and prepare this data using Python / Matlab or similar
 
Transferable skills:
The students are able to
  • Detect problems with real measurements
  • Process, visualize and interpret time series and image data using computers
Module Content
  • Sensors: temperature, optical sensors, accelerometer, electrocardiogram etc.
  • Imaging: X-ray, computed tomography, ultrasound, magnetic resonance tomography, positron emission tomography, histology etc.
  • Time series analysis and image processing: visualization, image reconstruction and interpretation
Follow-up Modules -
Methods of Instruction  Lecture, group work and excursion
Digital Resources
  • Moodle
  • Educational videos
  • Case studies / group work (including solutions)
Lesson Structure / Workload  
 Contact Hours 28
 Guided Self-Study 14
 Independent Self-Study 18
 Total Workload 60
Classroom Attendance Presence is strongly recommended, but not enforced with a presence list.
Assessment
  • Coursework 30% (case study as group work)
  • Written exam at the end of the semester 70%

If there is a low number of participants, the lecturer may change the form of a repeat examination after consultation with the head of the study programme: e.g. an oral examination can be used to replace a written one. Please report any changes to the form of examinations by e-mail to pruefungsadmin.lsfm@zhaw.ch and Cc. Head of study programme.
Language of Instruction  English
Comments Low costs due to an excursion to the hospital

 

Course: Biomedical Sensors and Imaging
No.
n.BA.AD.BSI.23HS.V
Title
Biomedical Sensors and Imaging

Note

  • No module description is available in the system for the cut-off date of 10 May 2024.