PHYS 661 - Data Science for Physical Scientists

Credit(s): 3

DATA SCIENCE FOR PHYS
Component: Lecture
This course introduces data driven inference in the physical sciences. Examples of machine learning methods applied to current problems in Physics and the Natural Sciences. Basic computational skills, knowledge of statistical analysis, error analysis, good practises for handling, processing, and analyzing data and (including big-data) programmatically, and communication and visualization skills will be acquired.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Fall