APMTH 316 - Stochastic Processes, Dynamical Systems, Applied Differential Geometry Learning Course

[APMTH 316 - Stochastic Processes, Dynamical Systems, Applied Differential Geometry Learning Course] Stochastic Processes, Dynamical Systems, Applied Differential Geometry (APMTH 316) provides an advanced exploration of mathematical topics essential for modeling complex systems and phenomena. The course covers stochastic processes, including Markov chains and Brownian motion, and their applications in areas such as finance and queuing theory. Dynamical systems are studied with a focus on stability, chaos, and bifurcation theory, providing insights into the behavior of systems over time. Additionally, the course introduces applied differential geometry, emphasizing its use in understanding the geometry of curves and surfaces and its applications in fields like robotics and computer vision. Through lectures, problem sets, and projects, students will gain a comprehensive understanding of these mathematical tools and their relevance to real-world applications in science and engineering. 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.