311829 (v.1) Scientific Data Analysis 301

Area:	Department of Applied Physics
Credits:	25.0
Contact Hours:	3.0
The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.
Lecture:	1 x 1 Hours Weekly
Laboratory:	1 x 2 Hours Weekly
Prerequisite(s):	7907 (v.6) Particles and Waves 201 or any previous version AND 8127 (v.6) Advanced Calculus 201 or any previous version OR 12578 (v.3) Computational Physics 102 or any previous version AND 310984 (v.1) Scientific Computing 101 or any previous version OR 1920 (v.7) Software Technology 151 or any previous version
Syllabus:	Introduction to data analysis. Smoothing, frequency response. Convolution and correlation. Fourier analysis. Discrete Fourier Transforms (DFT). Fast Fourier Transform (FFT). Digital filters.
To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.
Field of Education:	010301 Physics
SOLT (Online) Definitions*:	Informational *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark

Availability

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