APMTH 232 - Learning, Estimation, and Control of Dynamical Systems Learning Course

[APMTH 232 - Learning, Estimation, and Control of Dynamical Systems Learning Course] APMTH 232 - Learning, Estimation, and Control of Dynamical Systems: APMTH 232 covers mathematical techniques for learning, estimation, and control of dynamical systems encountered in engineering and natural sciences. Topics include Kalman filtering, optimal control, reinforcement learning, and adaptive algorithms. The course integrates theoretical analysis with practical applications to understand how to model, estimate parameters, and design controllers for dynamic systems. Through theoretical study, computational projects, and case studies, students gain proficiency in applying learning and control methods to solve real-world problems in robotics, aerospace, biomedical engineering, and autonomous systems. The course prepares students for advanced research and development in dynamic systems analysis and control theory. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.