Delve into the comprehensive world of optimal control, guidance, and estimation in this extensive course. Explore fundamental concepts like state-space approach, matrix theory, and numerical methods before diving into static optimization and calculus of variations. Master the Linear Quadratic Regulator (LQR) and its applications in flight dynamics and missile guidance. Investigate advanced topics such as discrete-time optimal control, dynamic programming, and adaptive critic designs. Learn about transcription methods, Model Predictive Static Programming (MPSP), and their applications in aerospace vehicle guidance. Study state estimation techniques, including Kalman filter design and integrated estimation, guidance, and control systems. Examine constrained optimal control and the optimal control of distributed parameter systems. Gain practical knowledge through numerous lectures covering theoretical foundations and real-world applications in aerospace engineering and control systems.