Scientific computing is an interdisciplinary, interdepartmental graduate minor recognizing important changes that have introduced a powerful and essential mode of scientific research. The increasing availability of high-performance computers has led to a method of scientific inquiry based on mathematical models solved by means of numerical computations, analyzed and viewed by means of advanced computer graphics. Carrying out research by these means is necessarily multidisciplinary, calling on advanced skills in areas that span many classical divisions of academia. The Ph.D. minor in scientific computing provides the interdepartmental education necessary to equip students for research within this paradigm. Scientific computing courses are generally organized into four categories: numerical analysis, scientific applications, scientific visualization, and high-performance computing. Students are encouraged to develop expertise in more than one of those areas.