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CSCI 2072U – Computational Science I

This course provides an overview of basic numerical algorithms used for solving problems in applied sciences. Topics include: solving linear and nonlinear systems of equations, interpolation and data-fitting and numerical integration and differentiation. Additional topics like optimization and the solution of ordinary differential equations may be treated. The focus will be both on implementation and testing and on analysis in terms of accuracy, stability and efficiency. Students will use Python and several of its modules for scientific computing and visualization.
Credit hours: 3
Lecture hours: 3
Tutorial hours: 1
Prerequisite(s): CSCI 2000U  and MATH 1020U  
Prerequisite(s) with concurrency: MATH 1850U  or MATH 2050U  
Credit restriction(s): MATH 2070U  or MATH 2072U  
Cross-listed: MATH 2072U  

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