This course emphasizes the background, theory, analysis, assessment, and design frameworks and engineering tools to achieve resiliency of smart structural systems. We focus on use of sensors, structural analyses, experimental methods, and probabilistic modeling and structural health monitoring using artificial intelligence tools. The concepts are holistically integrated towards a paradigm of resilient design engineering of sustainable critical infrastructure systems subjected to extreme and service conditions. Course topics cover a large variety of numerical methods, experimental methods, combination of numerical and experimental methods (hybrid simulation), structural health monitoring, structural reliability, decision making under uncertainty and deep learning. The course will empower the participants with the general multipurpose trans-disciplinary knowledge, background and tools needed for successful assessment and design of resilient structural and infrastructural systems in the face of natural hazards and extreme events.