Scientific computing concerns the interface between computer science, mathematics, statistics, and science and engineering applications requiring high performance computing. The area is also known as "computational science and engineering" and is truly interdisciplinary. Many computer science faculty are involved with scientific computing to some degree, most notably those in high end computing and computational biology and bioinformatics. Scientific computing activity on campus is focussed by the Laboratory for Advanced Scientific Computing and Applications, which has members from science and engineering departments across campus. There is also an undergraduate track in scientific computing, that besides the core computer science courses, requires advanced courses in numerical analysis, parallel computing, computer architecture (emphasizing that scientific computing and high performance computing are often synonymous), and a capstone course in scientific computing.