Books

​Ocean Wave Data Analysis:
​Introduction to Time Series Analysis, Signal Processing, and Wave Prediction
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In this book, readers learn about:
  • Linear wave theory
  • Time-series of ocean\coastal wave
  • Wave data analysis in time domain (zero-crossing method)
  • Wave data analysis in frequency domain (spectral analysis method)
  • Window functions and digital filtering
  • Analysis of water pressure and wave orbital velocity
  • Wavenumber, wavelength, directional wave spectrum, wind sea, and swell waves
  • Non-dimensional wave variables
  • Wind and bathymetry data
  • Water wave spectrums
  • Parametric wave models
  • Parametric hurricane models
  • SWAN wave model
MATLAB and Python Codes are provided throughout the book to calculate different wave properties
Principles of Data Science with Python:
Introduction to Scientific Computing, Data Analysis, and Data Visualization
In this book, readers learn about:
  • Programming with the Python language
  • Data science, analysis, and visualization with the Python language
  • Data structure in Python
  • NumPy library and NumPy arrays
  • Statistical functions
  • Pandas library and Pandas DataFrames
  • Time-series in Python
  • Matplotlib library and data visualization
  • SciPy library
  • Interpolation, curve fitting, root finding, and numerical integration
  • Signal processing and digital filtering
  • Reading and writing data files
Fundamentals of Data Science with MATLAB:
Introduction to Scientific Computing, Data Analysis, and Data Visualization
In this book, readers learn about:
  • Programming with the MATLAB language
  • Data science, analysis, and visualization with the MATLAB language
  • MATLAB arrays
  • MATLAB statistical functions
  • MATLAB tables
  • Time-series in MATLAB
  • Data visualization with MATLAB
  • Interpolation, curve fitting, root finding, and numerical integration
  • Signal processing and digital filtering
  • Reading and writing data files