Scientific Computing
Offered By: University of Washington via Coursera
Course Description
Overview
Investigate the flexibility and power of project-oriented computational
analysis. Practice using this technique to resolve complicated
problems in a range of fields including the physical and
engineering sciences, finance and economics, medical, social and
biological sciences. Enhance communication of information by creating
visual representations of scientific data.
This course is a survey of numerical solution techniques for ordinary and partial differential equations. Emphasis will be on the application of numerical schemes to practical problems in the engineering and physical sciences. Apply advanced MATLAB routines and toolboxes to solve problems. Review and practice graphical techniques for information presentation and learn to create visual illustrations of scientific results
This course is a survey of numerical solution techniques for ordinary and partial differential equations. Emphasis will be on the application of numerical schemes to practical problems in the engineering and physical sciences. Apply advanced MATLAB routines and toolboxes to solve problems. Review and practice graphical techniques for information presentation and learn to create visual illustrations of scientific results
Tags
Related Courses
Dynamical Modeling Methods for Systems BiologyIcahn School of Medicine at Mount Sinai via Coursera Elements of Structures
Massachusetts Institute of Technology via edX Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera Dynamics
Massachusetts Institute of Technology via edX Introducción a la Programación para Ciencias e Ingeniería
Universidad Politécnica de Madrid via Miríadax