This lecture series introduces the principles and practice of Monte Carlo methods for numerical computation. Topics include random sampling, variance reduction, error analysis, and applications, with emphasis on the floating random-walk approach. Students will gain both theoretical understanding and practical skills for applying Monte Carlo techniques to a broad class of computational problems.