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n.BA.AD.LabIn.24HS (Laboratory Informatics) 
Module: Laboratory Informatics
This information was generated on: 03 July 2025
No.
n.BA.AD.LabIn.24HS
Title
Laboratory Informatics
Credits
2

Description

Version: 1.0 start 01 August 2024

 

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
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.
  • are familiar with various aspects of data management in the laboratory and can efficiently capture, store, and manage laboratory results.
  • can understand laboratory information systems (LIS) and integrate them into the laboratory environment to optimize laboratory processes.
  • master the basics of automation and robotics in the laboratory and can program and control laboratory equipment and systems.
  • possess knowledge in data analysis and interpretation of laboratory results as well as statistical analysis and visualization.
 
Transferable skills:
Students
  • can identify complex problems and develop innovative solutions for laboratory informatics.
  • possess the ability to work in teams and effectively collaborate in multidisciplinary teams.
  • can critically reflect on quality assurance and management in the laboratory and propose appropriate measures for improvement.
  • further develop their practical skills through the application of laboratory informatics in project-oriented settings.
  • enhance their communication skills through the presentation of laboratory results and the discussion of case studies from laboratory practice.
Module Content
  • Introduction to Laboratory Informatics
  • Data Management in the Laboratory
  • Laboratory Information Systems (LIS)
  • Automation and Robotics in the Laboratory
  • Data Analysis and Interpretation
  • 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 03 July 2025.