This course will entail a balance between theoretical foundation, and hands-on experience, for developing and deploying autonomous robotic systems. An end of course project will be available for select group of students to participate in the 2021 NSF Student CPS Challenge.
A series of lectures and computer labs on data processing and analysis in Earth and space sciences using Python. Introduces programming with scratch and python. Numerical methods for data analytics.
Prerequisite(s): AST 111 or GLG 101 or SES 121 with C or better; Pre- or corequisite(s): MAT 265 or 270 with C or better if completed OR Visiting University Student
