Course: Analysis of Complex Systems credits: 4

Course code
CTVH2ACS
Name
Analysis of Complex Systems
Study year
2023-2024
ECTS credits
4
Language
English
Coordinator
M.E.F. Apol
Modes of delivery
  • Lecture
  • Tutorial
Assessments
  • Analysis of Complex Systems - Other assessment

Learning outcomes

After completing this module, the successful student is be able to:
  • Perform and interpret basic statistical tests for averages, proportions and variances (i.e., t-tests, binomial z-tests, and chi-square and F-tests) using Excel and/or Minitab
  • Perform and interpret several ANOVA analyses (1-way, 2-way with fixed and random effects) using Excel and/or Minitab
  • Perform and interpret correlations, correlation functions and Principal Component Analysis using Minitab
  • Perform and interpret linear and nonlinear regression of experimental data, including model selection and interpolation, using Excel and/or Minitab
  • Perform and interpret categorical data analyses (1-way and 2-way chi-squared tests, logistic regression) using Excel and/or Minitab

Content

Level: advanced (3)

Content:Optimizing process plants (regarding costs, quality of products, environmental footprint etc.) requires identifying, modifying and checking some key process variables. The module Analysis of Complex Systems deals with statistical analysis of complex, dynamical systems, using advanced methods such as multivariate data analysis, e.g. multivariate regression, Principal Component Analysis (PCA) and Analysis of Variance (ANOVA). The basic statistical concepts and generalization to more complex situations, and principles of various software packages (Excel and Minitab) will be reviewed. Also, an introduction to Statistical Process Control (SPC) is given.

 

 

Included in programme(s)

School(s)

  • Institute for Life Science & Technology
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