PHYS 461 - Data Science for Physical Scientists

Institution:

University of Delaware

Subject:

Physics and Astronomy

Description:

This course will introduce 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 practices for handling, processing, and analyzing data and (including big-data) programmatically, and communication and visualization skills will be acquired. PREREQ: PHYS207/PHYS227, CISC106 or CISC108, and MATH349.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.udel.edu/

Phone Number:

(302) 831-2000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Four-one-four plan

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