PHYS 211 Computational Physics
This course introduces numerical and computational tools for simulating physical phenomena. Students learn basic computational numerical methods, including Monte Carlo techniques, numerical differentiation, and integration. Artificial Intelligence concepts are introduced practically in the lab and theoretically through Neural Networks and Machine Learning principles and applications. The course includes computer laboratory activities, either individually or in small groups, that cover the concepts discussed in the lectures.
Distribution
(3,3,4)Offered
Fall Spring