Basic notion and systems analysis method is briefly explained for the
preparation to the understanding of the later chapters. Non-linear and linear systems
equations are explained, where the standard formulation and its representation is useful
for the basis of various types of modeling. Transfer function is explained for the linear
system as the input-output representation. Basic graph theory is explained with its
applications, where it is important to analyze large-scale metabolic reaction networks.
Data analysis such as regression analysis and the principal component analysis (PCA)
are also briefly explained, where it is important for analyzing the experimental data and
experimental design in relation to modeling.
Keywords: System equation, transfer function, graph theory, signal flow diagram,
feedback control, regression analysis, principal component analysis (PCA).
