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PHYS605

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Advanced Data Analysis

Physics and AstronomySC - Faculty of Science

Subject

PHYS - Physics

Description

Methods of extraction of significant information from experimental data degraded by noise. Parametric and non-parametric statistical methods; curve fitting; spectral analysis; filtering, sampling, convolution and deconvolution techniques.

GFC Hours

(3-0)

Domestic Fee Rate Group

A

International Fee Rate Group

B

Signature Learning

Research & Creative Scholarship

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No