EventoWeb
Zürcher Hochschule für Angewandte Wissenschaften
Menu Home User Menu
Not registered Login
[ German (Switzerland) German (Switzerland) ]   [ English ]
[ de de ]   [ en ]
Not registered Login
n.BA.AD.LabIn.24HS (Laboratory Informatics) 
Module: Laboratory Informatics
This information was generated on: 20 July 2026
No.
n.BA.AD.LabIn.24HS
Title
Laboratory Informatics
Credits
2

Description

Version: 2.0 start 01 August 2025

 

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  
  Compulsory Module  X Elective Module    Optional Module
Planned Semester 6th Semester
Module Coordinator Céline Reinbold
Telephone / E-Mail +41 (0)58 934 50 87 / celine.reinbold@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 Céline Reinbold, additional lecturers
Entrance Requirements -
Learning Outcomes and Competencies Technical Skills:
Students
  • Understand the fundamental concepts and principles of laboratory informatics and can apply them in laboratory environments.
  • Comprehend laboratory workflows and can propose optimization strategies.
  • Are familiar with various aspects of laboratory data management and can efficiently record, store, and manage laboratory results.
  • Have knowledge in analyzing and interpreting laboratory results.
  • Understand the basics of automation and robotics in the laboratory.
 
Transferable skills:
Students
  • Can identify complex problems and develop innovative solutions for laboratory informatics.
  • Possess teamwork skills and can work effectively in multidisciplinary teams.
  • Can critically reflect on quality assurance and management in the laboratory and propose appropriate improvement measures.
  • Further develop their practical skills by applying laboratory informatics in practice-oriented projects.
  • Improve their communication skills by presenting laboratory results and discussing case studies from laboratory practice.
Module Content
  • Introduction to Laboratory Informatics
  • Data Management in the Laboratory
  • Laboratory Information Systems
  • Automation and Robotics in the Laboratory
  • Quality Assurance and Management in the Laboratory
  • Practical Applications and Case Studies
Follow-up Modules -
Methods of Instruction  Lectures, Interactive Seminars, Group Work
Digital Resources Moodle
Lesson Structure / Workload  
 Contact Hours 28
 Guided Self-Study 14
 Independent Self-Study 18
 Total Workload 60
Classroom Attendance Attendance is strongly encouraged but not enforced with attendance list
Assessment Experience grade (100%)
Language of Instruction  English
Comments -

 

Note

Course: Laboratory Informatics
No.
n.BA.AD.LabIn.24HS.V
Title
Laboratory Informatics

Note

  • No module description is available in the system for the cut-off date of 20 July 2026.