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Dec 06, 2023
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2021-2022 Undergraduate Catalog [ARCHIVED CATALOG]
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PHYS 461 - Data Science for Physical Scientists Credit(s): 3
DATA SCI FOR PHYS SCIENTISTS
Component: Lecture
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.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
PREREQ: PHYS 207 and PHYS 227 , CISC 106 or CISC 108 , and MATH 349 .
General Education Objectives:
GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically
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