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Simulation for Beginners

In today's technology-driven world, simulation technology has taken on a key role in a variety of industries. From aerospace to healthcare to manufacturing and beyond, simulation tools provide indispensable insights and enable complex systems to be modelled, analysed, and optimized. The 'Simulation for Beginners' course has been specifically designed to provide beginners with a comprehensive insight into the fundamentals and applications of modern simulation methods.


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At a glance


Certificate of attendance "Simulation for Beginners" (2 ECTS)


24.10.2024 17:30, 13.03.2025 17:30



CHF 1'150.00


  • ZHAW Zürich, Building ZL, Lagerstrasse 41, 8004 Zürich  (Show on Google Maps)
  • All events will be held on site at ZHAW near Zürich main station

Language of instruction:


Course dates: 

24.10.2024, 17:30 - 20:30

31.10.2024,17:30 - 20:30

07.11.2024, 17:30 - 20:30

14.11.2024, 17:30 - 20:30

21.11.2024, 17:30 - 20:30


13.03.2025, 17:30 - 20:30

20.03.2025, 17:30 - 20:30

27.03.2025, 17:30 - 20:30

03.04.2025, 17:30 - 20:30

10.04.2025, 17:30 - 20:30

Objectives and content

Target audience

  • Engineers
  • Technicians
  • Data Analysts
  • Scientists
  • Project Managers


Participants in this course will learn the fundamental concepts of simulation engineering, including how to develop and implement simulation models, analyse simulation data, and use simulation software tools.

With a mix of theoretical basics and practical exercises, participants will be able to plan and carry out simulation projects independently. The course is aimed at beginners with no prior knowledge of simulation but is also suitable for those wishing to expand their knowledge in this fast-growing and increasingly important field. Large technology companies and innovative start-ups are increasingly relying on simulation technologies, making this course a valuable step in your professional development.

After completing the module, students will be able to:

  • assess the applicability and usefulness of the simulation method given a specific modelling situation
  • list and define typical quantitative objectives for process simulations
  • describe and evaluate processes systematically and quantitatively
  • implement simple models in a professional simulation environment


The module covers the following topics:

  1. simulation as an experiment-based method for evaluating complex processes
  2. questions, goals, and objectives for simulation
  3. theoretical fundamentals of
  4. the structure of a simulation project
  5. introduction to modelling processes
  6. first steps with simulation, verification, and validation
  7. basics of process improvement and experiment design
  8. introduction to the simulation environment Simio

CAS in Digital Life Sciences

This module is part of the CAS in Digital Life Sciences continuing education programme, but can also be attended independently of the CAS. Credit points earned for this module can be credited to the CAS course at a later date, provided the relevant general conditions are fulfilled.

More information here: CAS in Digital Life Sciences

Overview continuing education

You can find an overview of our continuing education programmes in the field of computational science and artificial intelligence here.


The module will consist of lectures and practical exercises. In addition to lectures, participants will be required to self-study selected topics. Also, participants will work in groups on a simulation project and present their results at the end of the course. 

  • Project work: 50%
  • Final presentation: 50%

More details about the implementation

Three weekly lessons are scheduled for Thursday evenings. Participants will start working on their final project in the second week. The project presentations will take place in the last session.

Enquiries and contact

  • Tatiana Starostina is a senior research scientist at the ZHAW Institute of Computational Life Sciences, bringing over 25 years of expertise in optimization and 16 years in simulation. Her research spans a broad array of topics, focusing on the simulation of complex processes in logistics, supply chain management, and facility and building planning. Additionally, she specializes in optimization for production, storage operations, and the transportation of goods and people, among other areas.

  • Marco Brunschwiler is a research scientist at ZHAW with more than four years of experience in simulation and optimization of discrete processes. He has contributed to multiple projects in the areas of production, logistics, digital health, and human flow control.



Admission requirements

  • No entry requirements
  • No prerequisites necessary

Start Application deadline Registration link
24.10.2024 17:30 10.10.2024 Application
13.03.2025 17:30 27.02.2025 Application