Covers the fundamentals of numerical flow simulation, emphasizing the importance of understanding the methodology and practicing simulation techniques to run full simulations autonomously.
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Covers examples of signal processing, analog signal processing, continuous amplitude modulation, image processing, compression, micro-systems, and medical electronics.