Deep Learning for Engineering Applications

Catalog description

Credits 3. 3 Lecture Hours. Introduction to the fundamentals of deep learning along with its advanced applications in addressing engineering problems, emphasizing modeling and simulation, as well as complex system analysis; combination of theoretical knowledge with practical applications; hands-on coding practice to foster a robust understanding of deep learning techniques and learn how to leverage them to solve complex engineering challenges. Prerequisite: Graduate classification or approval of instructor.