Name: [Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods)
Creator: University of Washington
License: https://academictorrents.com/nolicensespecified

Name	DL	Torrents	Total Size
Video Lectures [edit]	RSS CSV	155	727.63GB	3134	0

compmethods-005 (438 files)

01_Computational_Methods_Course_Overview/01_Course_Overview.mp4	16.21MB
01_Computational_Methods_Course_Overview/01_Course_Overview.srt	4.05kB
01_Computational_Methods_Course_Overview/01_Course_Overview.txt	2.77kB
02_Introduction_to_the_Course/01_Course_Introduction_9-30.mp4	59.97MB
02_Introduction_to_the_Course/01_Course_Introduction_9-30.srt	12.93kB
02_Introduction_to_the_Course/01_Course_Introduction_9-30.txt	8.86kB
03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.mp4	16.92MB
03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.srt	3.26kB
03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.txt	2.24kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/01_W01_L01_P01_-_Basics_of_the_Fourier_Transform_10-16.mp4	27.70MB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/01_W01_L01_P01_-_Basics_of_the_Fourier_Transform_10-16.srt	11.73kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/01_W01_L01_P01_-_Basics_of_the_Fourier_Transform_10-16.txt	8.07kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/02_W01_L01_P02_-_Representation_of_signals_as_frequencies_10-01.mp4	29.39MB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/02_W01_L01_P02_-_Representation_of_signals_as_frequencies_10-01.srt	12.39kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/02_W01_L01_P02_-_Representation_of_signals_as_frequencies_10-01.txt	8.51kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.mp4	27.06MB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.srt	15.68kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.txt	10.78kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.mp4	17.44MB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.srt	12.10kB
04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.txt	8.33kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.mp4	23.98MB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.srt	11.22kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.txt	7.71kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.mp4	24.67MB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.srt	14.32kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.txt	9.83kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.mp4	16.23MB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.srt	9.01kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.txt	6.21kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.mp4	21.33MB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.srt	11.72kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.txt	8.07kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.mp4	20.82MB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.srt	9.89kB
05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.txt	6.76kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.mp4	27.78MB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.srt	13.61kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.txt	9.35kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.mp4	27.66MB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.srt	14.86kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.txt	10.22kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.mp4	36.44MB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.srt	18.53kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.txt	12.68kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.mp4	29.02MB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.srt	12.18kB
06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.txt	8.38kB
07_Week_2_-_Lecture_4_-_The_Windowed_Fourier_Transform/01_W2_L4_P1-A_Window_for_Fourier_Transforming_9-35.mp4	31.01MB
Too many files! Click here to view them all.

Type: Course
Tags: Coursera, compmethods

Bibtex:

@article{,
title= {[Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods)},
author= {University of Washington},
keywords= {Coursera, compmethods},
abstract= {},
terms= {},
license= {},
superseded= {},
url= {}
}

[Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods) University of Washington

[Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods)
University of Washington