This lecture covers the design of observers in control systems, focusing on selecting matrices to achieve desired eigenvalues for observability. It explains the process of selecting arbitrary matrices to ensure observability and convergence rates, along with the duality between controllability and observability. The lecture also demonstrates the computation of state feedback controllers and the importance of selecting the right eigenvalues for stability.