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n.BA.AD.SmaLa.24HS (Smart Labs) 
Module: Smart Labs
This information was generated on: 06 July 2025
No.
n.BA.AD.SmaLa.24HS
Title
Smart Labs
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  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 6th Semester
Module Coordinator Lukas Neutsch
Telephone / E-Mail +41 (0)58 934 51 10 / lukas.neutsch@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 Lukas Neutsch and various internal and external lecturers
Entrance Requirements Sensors and Measurements, Process Engineering and Data 1, Process Engineering and Data 2, Bioprocessing and Modelling
Learning Outcomes and Competencies Technical skills:
The students will:
  • understand concepts and challenges in the design and implementation of networked laboratory systems
  • be aware of the functional requirements for "smart" data management in laboratories
  • be able to act as competent points of contact in the field of data science/automation to bridge interface problems
  • analyze and practically implement various workflows of integrated data utilization regarding their advantages and disadvantages
  • selectively use software & tools for "smart" data visualization in laboratory environments
  • be familiar with regulatory requirements (GMP compliance, data integrity) for IoT laboratory concepts and be able to evaluate commercial offers in this regard
 
Transferable skills:
  • Teamwork
  • Problem-based work
  • Interaction with domain-specific and cross-fleet technology providers from various areas of life sciences
  • Basic aspects of human/machine interaction
Module Content
  • Technical data interfaces in laboratory systems
  • LIMS / PIMS / IoT data management concepts
  • Workflows for integrated data utilization
  • Automation "classic" and "4.0"
  • Concepts & tools for "smart" data visualization
  • Interfaces to programming environments including application
  • "Advanced control routines" in bioprocesses
  • GMP-compliant and R&D-oriented process control systems
  • Blockchain technologies
Follow-up Modules -
Methods of Instruction  Lectures, guest lectures from industry experts, hands-on demos, and case studies in the 4.0 bioprocess technology laboratory, excursion
Digital Resources
  • Moodle course
  • Case study
Lesson Structure / Workload  
 Contact Hours 28
 Guided Self-Study 14
 Independent Self-Study 18
 Total Workload 60
Classroom Attendance Yes
Assessment Written examt at the end of the semester 50% / e-assessment
Course work 50%

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 Excursion to industrial partners

 

Course: Smart Labs
No.
n.BA.AD.SmaLa.24HS.V
Title
Smart Labs

Note

  • No module description is available in the system for the cut-off date of 06 July 2025.