實測資料分析課程大綱
此課程大綱如下所列，課程中亦提供電腦計算程式及實測資料讓同學當作homework練習分析。並配合物理海洋的基礎理論，講解分析結果如何與理論相互應証。
教科書：
Random Data: Analysis and Measurement Procedures by J. S. Bendat and A. G. Piersol, 2nd edition, John and Wiley & Sons Inc., 1986
Data Analysis methods in physical oceanography by W. J. Emery and R. E. Thomson, Elsevier Science Inc., 1997
大綱:
1. Introduction:
a. Ocean data
b. Instrumentation and calibration
2. Description of data
a. Deterministic
b. Random
c. Classification of random data
3. Review of Fourier series, Fourier transform, and convolution
4. Concepts of random variables and probability
5. Correlations and spectral densities
6. Multiple input linear system analysis
a. Linear mean square estimation
b. Coherency
c. Input-output relationships
7. Practical digital analysis procedures
a. Means, variance, trends
b. Filtering
c. Discrete Fourier transforms and FFT
d. Correlation function, auto-, and cross- spectral densities
e. Coherency and transfer functions
f. Error analysis
8. Analysis of vector time series
a. Rotary spectra and normal coordinates
b. Rotary coherency
c. Practical application to oceanographic phenomena
9. Other topics as time permits
a. Normal modes and projection
a. Complex demodulation
b. Empirical orthogonal functions
實測資料分析課程大綱
此課程大綱如下所列，課程中亦提供電腦計算程式及實測資料讓同學當作homework練習分析。並配合物理海洋的基礎理論，講解分析結果如何與理論相互應証。
教科書：
Random Data: Analysis and Measurement Procedures by J. S. Bendat and A. G. Piersol, 2nd edition, John and Wiley & Sons Inc., 1986
Data Analysis methods in physical oceanography by W. J. Emery and R. E. Thomson, Elsevier Science Inc., 1997
大綱:
1. Introduction:
a. Ocean data
b. Instrumentation and calibration
2. Description of data
a. Deterministic
b. Random
c. Classification of random data
3. Review of Fourier series, Fourier transform, and convolution
4. Concepts of random variables and probability
5. Correlations and spectral densities
6. Multiple input linear system analysis
a. Linear mean square estimation
b. Coherency
c. Input-output relationships
7. Practical digital analysis procedures
a. Means, variance, trends
b. Filtering
c. Discrete Fourier transforms and FFT
d. Correlation function, auto-, and cross- spectral densities
e. Coherency and transfer functions
f. Error analysis
8. Analysis of vector time series
a. Rotary spectra and normal coordinates
b. Rotary coherency
c. Practical application to oceanographic phenomena
9. Other topics as time permits
a. Normal modes and projection
a. Complex demodulation
b. Empirical orthogonal functions