n.BA.AD.MCS.23HS (Modelling of Complex Systems) 
Module: Modelling of Complex Systems
This information was generated on: 10 May 2024
No.
n.BA.AD.MCS.23HS
Title
Modelling of Complex Systems
Credits
2

Description

Version: 2.0 start 01 August 2023

 

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 4th Semester
Module Coordinator Olivier Merlo
Telephone / E-Mail +41 (0)58 934 58 47 / olivier.merlo@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 Olivier Merlo, Sven Hirsch
Entrance Requirements Statistische Modellierung & Simulation
Learning Outcomes and Competencies After completing the module students will be able to:
  • describe different aspects of system theory and assess where
    and how system theory is applied to real-world problems;
  • use a mathematical tool (STELLA) to model and simulate a
    dynamical system;
  • derive a system formulation from ordinary differential equations
     (e.g. chemical reaction);
  • perform parametric studies with the Monte-Carlo method and
    apply optimization techniques to fit model predictions to
    experimental findings;
  • model, analyze, justify and communicate a system autonomously.
Module Content The course introduces basic mathematical tools and software used for the modeling and analysis of real-world systems in the context of life sciences. The following contents are taught in this course:
Introduction into system theory / system dynamics
  • What is a complex system? What is its purpose?
  • Overview and characterization of various systems (static/dynamical systems, discrete and continuous systems)
  • Introduction to mathematical models used for the modeling and analysis of systems, including differential equations.
  • Properties of linear, non-linear and chaotic systems
  • Qualitative methods for analyzing system models (graphs, feedbacks, active-passive Matrix, Vester’s paper computer)
Introduction into tools and methods used for system analysis and modeling
  • Basic modeling using software tools
  • Control structures, Look-ups, data sampling, functions
  • Analysis of equilibrium and stationary states
  • Numerical integration methods
  • Introduction to stability analysis and convergence testing
  • Level of validity and detection of simulation-inherent errors
Detailed case studies of systems and their modeling with examples from biomechanics, environmental sciences, biology, chemistry, industrial processes, and economics, e.g. plant dynamics, bacterial population behavior, drug reactions, or buyer/seller market dynamics
Follow-up Modules -
Methods of Instruction  Lectures, Exercises, project work
Digital Resources -
Lesson Structure / Workload  
 Contact Hours 28
 Guided Self-Study 14
 Independent Self-Study 18
 Total Workload 60
Classroom Attendance Presence is strongly encouraged but not enforced with presence list.
Assessment
  • Mid-semester test 20%
  • Written exam at the end of the semester 80%
 
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 -

 

Course: Modelling of Complex Systems
No.
n.BA.AD.MCS.23HS.V
Title
Modelling of Complex Systems

Note

  • No module description is available in the system for the cut-off date of 10 May 2024.