This course will cover fundamentals of learning and adaptation for control system design and signal processing. Both continuous and discrete time systems will be considered. Adaptive control topics include: Lyapunov stability theory, uniform boundedness, system identification techniques, direct and indirect adaptive control strategies, and adaptive inverse control. Adaptive signal processing topics include: learning algorithms for digital filters, self-optimization, quadratic performance functions, speed of convergence, and applications.