This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics
covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes
optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there
are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the
mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how
the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data
tables in the text are available on the author's website and SpringerLink.