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n.BA.AD.OSI.24HS (OS and Infrastructure) 
Module: OS and Infrastructure
This information was generated on: 07 November 2025
No.
n.BA.AD.OSI.24HS
Title
OS and Infrastructure
Credits
4

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  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 5th Semester
Module Coordinator Josef Spillner
Telephone / E-Mail +41 (0)58 934 45 82 / josef.spillner@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 -
Entrance Requirements Programming
Learning Outcomes and Competencies Subject competences:
 
The students
  • understand the foundations and concepts of modern operating systems.
  • can use the shell and operating system tools to process data and automate processes.
  • understand the virtualisation mechanisms of operating systems and can use that on a practical level.
  • know the different operating models for infrastructure and data processing services and can decide about the respective suitability for their applications and life science settings.
  • can produce cloud infrastructure and services in an automated manner, and apply them for a programmatic data processing in life sciences.
 
Interdisciplinary competences:
 
The students
  • can analyse local and cloud-based infrastructure services, as well as assess them and use them in a problem-adequate manner.
  • can apply their programming skills ‘in the large‘ for the automation of data-intensive processes.
Module Content Operating systems and tools
  • Basic concepts of modern operating systems (especially resource management, process management and file system)
  • How to work with the operating system shell. Using operating system tools, implementing pipelines and simple shell scripts to automate data processing tasks.
  • Principles of hardware and operating system virtualization and their application in data processing. Using virtual machines and containers on the local computer and in the data-centre.
  • Interaction between programming language and operating system.
 
Infrastructure for data- and computing-intensive applications
  • Version control, data integration and workflows.
  • Cloud computing as well as cloud services for data processing.
  • Usage of cloud services to create data processing workflows (event-based processing, pipelines, DataOps/MLOps, ...)
  • Automated provisioning of data processing services as well as reproducibility of the processing.
Follow-up Modules -
Methods of Instruction  Competence-oriented lectures, exercises with real systems and applications through provided virtual environments
Digital Resources
  • Shared cloud infrastructure (OSI VM)
  • Selflearn environment with tutoring (Edushell)
  • OA textbook «Operating Systems and Infrastructure in Data Science»
  • OER accompaignment videos
  • Exercise tasks and challenge tasks
Lesson Structure / Workload  
 Contact Hours 28
 Guided Self-Study 28
 Independent Self-Study 64
 Total Workload 120
Classroom Attendance Lectures in self-study/online, exercises in presence
Assessment
  • Written exam at the end of the semester (80%) / e-assessment
  • Course work (20%)
Competence-oriented examination in a provisioned operating system environment

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 -

 

Note

Course: OS and Infrastructure
No.
n.BA.AD.OSI.24HS.V
Title
OS and Infrastructure

Note

  • No module description is available in the system for the cut-off date of 07 November 2025.