Charles F Jackels
Introduction to principles and fundamental algorithms of scientific computing, including applied linear algebra and numerical methods. Group projects address current computational problems in the physical, biological, and life sciences. Prerequisite: B CUSP 125; either CSS 162 or CSS 341; may not be repeated.
CSS455 Winter 2012 C. Jackels
Introduction to Computational Science and Scientific Programming. Students study scientific computing, with a particular emphasis on those fundamental numerical algorithms that are relevant for numerical calculus, solution of equations, and linear algebra. Solutions to problems will be obtained utilizing high level computational environments such as Matlab. Group projects address current computational problems in the sciences and engineering. .
Student learning goals
• Numerical analysis methods and issues that are relevant to scientific computing, especially those involved in linear algebraic methods..
• Programming some of these basic methods using high level environments such as Matlab and Maple
• Use of distributed computing resources to implement parallel algorithms.
General method of instruction
BCUSP 125 (Calc II) and either CSS 162 or CSS 341.
Class assignments and grading