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Engineering methods fall into three categories: fundamental methods (mathematical, numerical, and experimental approaches) form the foundation for analysis, design, and verification; supporting methods (approximation and observation techniques) provide practical approaches when exact solutions are impractical; and integrative methods (system, hybrid, and data-driven techniques) combine the other methods to address complex challenges. This chapter examines each method in detail, showing both their individual characteristics and interconnected roles. Engineering's mathematical methods can be categorized into two main types: analytical methods and numerical methods. Approximation methods continue to evolve in the era of artificial intelligence (AI) and advanced computing. The integration of AI technologies is fundamentally transforming engineering methodologies, transcending the traditional boundaries between mathematical, experimental, approximation, observational, and systems approaches. Chain of Thought has emerged as a distinctive engineering method that systematically documents and structures the reasoning process in technical problem-solving.