Introduction to Network Models for Infrastructure and Engineering

Modern society relies on complex networks to deliver water, electricity, transportation, and data. Understanding how to model these systems mathematically is essential for designing resilient infrastructure that can withstand real-world demands. This course introduces the core concepts of network modeling, providing a clear path from basic theory to practical application. You will begin by mastering foundational concepts, including graph theory, nodes, edges, and network flow optimization. The course then guides you through applying these models to civil, environmental, and digital systems, ensuring you can analyze bottlenecks and improve efficiency. What you'll learn: - Understand the core mathematical principles of graph theory and network topology - Analyze network flow, capacity limits, and routing path optimization - Model real-world infrastructure systems including water distribution and transport networks - Apply modern resilience concepts to identify vulnerabilities and prevent system failures - Practice formulating network problems as linear programming models We start with essential definitions and step-by-step conceptual breakdowns before moving into practical modeling scenarios. This text-based format allows you to absorb complex formulas and structural diagrams at your own pace. This course is designed for beginners, students, and early-career engineers looking to build a strong foundation in network analysis. No prior advanced engineering or programming experience is required. Start reading today to build smarter, more resilient systems.