Explore the fundamentals of scientific computing through this comprehensive course consisting of 25 lectures. Delve into key concepts and techniques essential for computational problem-solving in scientific disciplines. Learn about numerical methods, data analysis, algorithm design, and computational modeling. Gain practical skills in applying mathematical and computational tools to solve complex scientific problems. Develop a strong foundation in scientific computing principles that can be applied across various fields of science and engineering.