To compute the Discrete Fourier Transform (DFT) of a f(n*t) vs t data array in C, it's suggested to set the imaginary parts to zero if the data is purely real. The user seeks to generate a frequency vs amplitude graph from the sampled data, needing values for omega and X(W). Understanding the DFT process is crucial, as it transforms time-domain signals into frequency-domain representations. It's recommended to experiment with known waveforms, such as sine waves, to grasp the frequency spectrum better. A solid understanding of the DFT will enhance the user's ability to analyze their system's frequency response effectively.