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Computational Physics Seminar

PHY 209

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Introduction to Python coding and its application to data collection, analysis and statistical inference. The course consists of weekly hands-on labs that introduce the students to the Linux coding environment with Jupyter and Python modules. Labs involve configuring a Raspberry Pi to interface with hardware sensors to collect interrupt-driven measurements. Multivariate discriminators and confidence levels for hypothesis testing will be applied to data samples. Labs are drawn from different forms of sensors data from accelerometers and photodetectors to external sources including radio-astronomy and XRF analysis of Art Museum paintings.
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Section P01

  • Type: Precept
  • Section: P01
  • Status: C
  • Enrollment: 24
  • Capacity: 24
  • Class Number: 20636
  • Schedule: F 08:00 AM-08:50 AM

Section S01

  • Type: Seminar
  • Section: S01
  • Status: C
  • Enrollment: 24
  • Capacity: 24
  • Class Number: 20635
  • Schedule: F 09:00 AM-11:50 AM