Comp Methods for Sci and Eng

Catalog description

The goal of the course is to prepare students for success in applying the power of computers to the solution of physics, science and engineering problems. In this course students learn a wide variety of practical computational techniques including curve fitting, approximations of derivatives and integrals, root finding, and many more. Students have the opportunity to study computational theory and algorithms, and their applications to modeling , data analysis, data science, AI, and machine learning. In addition, they gain experience utilizing important computational software tools that are used in academic and industrial settings, such as Mathematica and MATLAB. Modern computational approaches, including Python numpy/scipy libraries and Jupyter notebooks, will be utilized to develop a strong foundation in computational methods in physics, science and engineering .