COMPUTATIONAL PHYSICS (3 SCU)

Learning Outcomes:

Upon successful completion of this course, students are expected to be able to identify modern programming methods and describe the extent and limitations of computational methods in physics; able to identify and describe the characteristics of various numerical methods, formulate, and computationally solve a selection of problems in physics; and use methodologies and conventions of physics to test and communicate ideas and explanations.

Topics:

This course introduces computation method for computing approximate solution to solve problems using statistics. The material is presented using problem-oriented perspective with examples from the applied sciences. Topics to be covered include algorithms design, programming, probability theory, statistical data analysis, multivariate statistics, string algorithm, machine learning and using visualizations to understand the physics of the problem. Computational Physics will allow students to tackle realistic problems in practically every field of science and engineering.

Prerequisite(s): None