The course introduces fundamental concepts associated with probability, correlation and spectrum which are required for analysis of random data in the ensemble, time and frequency domain analyses, respectively. Random input and output relationships in linear systems are then described in terms of the correlation and spectral density functions. In particular, techniques using coherence and spectral density functions are demonstrated with various application examples. Data acquisition, processing and qualification issues are also discussed for digital data processing.