Learning Path

Graph Theory Fundamentals → Mathematical Programming for Network Optimization

This graduate-level learning path equips learners with the knowledge and skills to model, analyze, and assess the robustness and vulnerability of energy infrastructure systems using network theory. It covers foundational graph theory, network topology metrics, complex network models, power flow analysis, cascading failure mechanisms, and quantitative methods for robustness and vulnerability assessment, culminating in simulation-based applications.