Biological systems are complex, and in order to understand the complex system, integration of both the experimental and computational methods – Systems Biology is highly appreciated. The computational approach expands the knowledge on these complex networks and helps to understand, predict and manipulate the biological system. The course on Computational Systems Biology will introduce the concepts of mathematical modelling in the context of various biological networks. It covers topics on analyzing the network properties of the system (Network biology), dynamic systems modelling along with the parameter estimation, discrete modelling (Boolean networks) and constraint-based metabolic modelling. The major perk in this course is the hands-on knowledge on the tools and strategies to manipulate the systems and the applications of the different modelling in the diverse fields.