— Scientific Programming for Chemistry

Prerequisites & course information

Course Description: Chemical applications of computer programming with Python. Numpy, Scipy, Matplotlib libraries. Multidimensional arrays, data visualization, linear algebra routines. Force fields and molecular dynamics simulations. Numerical integration of differential equations with applications to chemical kinetics. Least squares fitting of experimental data. Learning Activities: Lecture 3 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s). Grade Mode: Letter.