Computational Physics Seminar
PHY 209
1242
1242
Info tab content
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.
Instructors tab content
Sections tab content
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 26
- Capacity: 27
- Class Number: 20226
- Schedule: F 08:00 AM-08:50 AM - McDonnell Hall 108
Section P99
- Type: Precept
- Section: P99
- Status: C
- Enrollment: 0
- Capacity: 0
- Class Number: 22890
Section S01
- Type: Seminar
- Section: S01
- Status: C
- Enrollment: 26
- Capacity: 24
- Class Number: 20225
- Schedule: F 09:00 AM-11:50 AM - McDonnell Hall 108