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n.BA.AD.FlDy.24HS (Fluid Dynamics) 
Module: Fluid Dynamics
This information was generated on: 16 August 2026
No.
n.BA.AD.FlDy.24HS
Title
Fluid Dynamics
Credits
2

Description

Version: 4.0 start 01 August 2026

 

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 5th Semester
Module Coordinator Judith Krautwald
Telephone / E-Mail +41 (0)58 934 52 67 / judith.krautwald@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)
-
Entrance Requirements Programmieren, Analysis und Algebra, Mathematische Modelle und Analyse
Learning Outcomes and Competencies Technical skills:
The students:
  • know the areas of application of computational fluid dynamics
  • know the strengths and weaknesses of computational fluid dynamics
  • can plan a CFD experiment
  • are able to solve simple CFD problems independently
  • can visualise and interpret CFD results
  • know possible sources of error in CFD simulations
Transferrable skills:
The students:
  • can transfer real problems to computer experiments
  • can set up a virtual machine for another operating system
  • are familiar with the basics of working with LINUX
  • can document project results in a comprehensible manner
Module Content

Computational fluid dynamics (CFD) is used in most scientific disciplines today. But we also see it in everyday life from time to time, for example in special effects in blockbuster movies. In science, flow simulations are used to better understand the flow through or around objects. Examples include the flow through a component with a liquid medium in engineering, the flow around a building in urban planning, or the flow of blood through an organ transplant in medicine.

The aim of the module is to build a fundamental understanding of the process of numerical flow simulation. The theoretical principles are primarily taught on a phenomenological basis. Parallel to the theory, a project runs throughout the semester in which the theory is gradually implemented directly for a simple practical example. This makes it possible to apply and consolidate what has been learned directly, which supports and greatly simplifies the learning process.

The flow simulation is performed using OpenFoam (open source). In parallel, students learn the basics of creating computer-aided geometry (CAD), creating a virtual machine and the fundamentals of working with LINUX.

Follow-up Modules -
Methods of Instruction  Lectures and project work throughout the semester

The project work is divided into small sub-projects with the aim of distributing the workload more evenly throughout the semester in a way that is more conducive to studying.
Digital Resources Moodle, simulation software (OpenFOAM), virtual machines and LINUX
Lesson Structure / Workload  
 Contact Hours 28
 Guided Self-Study 14
 Independent Self-Study 18
 Total Workload 60
Classroom Attendance Occasionally, for the purpose of milestone review for the project
Assessment
  • Experience grade (project work): 50%
  • Oral exam at the end of the semester: 50%
Language of Instruction  English
Comments -

 

Note

Course: Fluid Dynamics
No.
n.BA.AD.FlDy.24HS.V
Title
Fluid Dynamics

Note

  • No module description is available in the system for the cut-off date of 16 August 2026.